More Expansion Draft Fun: 2012-13 Draft Pool, Part 3

This is the final installment where I set my draft pools for my theoretical expansion drafts.  Enjoy:

Oklahoma City (3 Unprotected)

  • Who I Would Absolutely Protect: Kevin Durant, Russell Westbrook, Serge Ibaka
  • Who They Should Absolutely Not Protect: Kendrick Perkins
  • Who I Would Not Protect: Perkins, Daniel Orton, Perry Jones
  • Who They Would Not Protect: Perkins, Hasheem Thabeet, Orton

If the Thunder had amnestied Perkins last season, maybe James Harden would not have landed in Houston’s lap.  I really don’t know, but the verdict here is that it has been a while since Perkins has been solid, and there are very few elite centers left.  Guarding elite centers is basically Perkins’s purpose in this league.  Orton and Jones were great but far from otherworldly in the D-League, whereas Lamb was, hence their inclusion on my lists.  Of course, Jones “runs like a dear”, so I think foul-magnet but reliable back-up Thabeet would be thrown to the wolves.  Or the grizzly bears.  (Could not help myself with that beyond-awful joke.)

Orlando (5 Unprotected)

  • Who I Would Absolutely Protect: Mo Harkelss, Nikola Vucevic
  • Who They Should Not Protect: Hedo Turkoglu, Jameer Nelson, Al Harrington, Glen Davis
  • Who I Would Not Protect: Turkoglu, Nelson, Harrington, Davis, DeQuan Jones (restricted)
  • Who They Would Not Protect: Turkoglu, Harrington, Jones (restricted), E’Twaun Moore, Doron Lamb

The fact that Hedo and Harrington were more or less glued to the bench last season implies that the Magic are none too fond of them.  That is good for them, as they have not shown that they merit much play time. Neither has Davis and Nelson, although Nelson was at least been mediocre, but those guys play a lot, and the Magic have no better alternative at point guard.  I threw Jones on my list partly as bait because he is a zero wins-level player who is also a Restricted Free Agent.  Nice story-I don’t think he could even start for the U-but ultimately not a great NBA player.  Moore and Lamb are recent second-round picks who have not played well and are cheap.

Philadelphia (2 Unprotected)

  • Who They Should Absolutely Protect: Arnett Moultrie (maybe)
  • Who They Should Not Protect: No One
  • Who I Would Not Protect: Evan Turner, Kwame Brown
  •  Who They Would Not Protect: Brown, Charles Jenkins (restricted)

In fairly limited minutes, Moultrie played really well last season, as in, comparable to Anthony Davis.  Sooner or later, every team has to give up on every player, and I think that it’s high time that the Sixers do that Evan Turner, as his advanced stats have actually regressed over the course of his career.  Brown is actually not a bad back-up center when he is healthy; the problem is that he has played exactly 31 games in the two past seasons.  Jenkins was a low-risk, lower-upside trade acquisition this year at the trade deadline, and he is a subzero future Restricted Free Agent.

Phoenix (5 Unprotected)

  • Who They Should Absolutely Protect: No One
  • Who They Should Not Protect: Channing Frye, Michael Beasley, Luis Scola
  • Who I Would Not Protect: Frye, Beasley, Scola, Kendall Marshall,  Diante Garrett (restricted)
  • Who They Would Not Protect: Frye, Marshall, Garrett (restricted), Hamed Haddadi, random guess that is probably a Morris twin but may be Shannon Brown

Channing Frye literally did not play this season, yet he has presumably two years and $13.2M left on his contract.  I say “presumably” because the second year is a Player Option, and if he were his team, I would strongly suggest that he not pick it up.  Beasley’s contract is so stunningly awful-$6M/year for a cancer on a rebuilding team-that it makes analysts want to pluck their eyeballs out.  Of course, I don’t think the Suns realize this; otherwise, they probably would have never considered it, even in jest.  When someone is amnestied by the Rockets, it should probably tell one something.  Not the Suns with Scola, who played passably this year, but he is 33 and due $4.5M next year.  During last year’s draft, there were literally ESPN analysts who wondered whether Marshall could ever be a starting point guard, let alone a great one.  My memory might deceive me, but I think that some struggled to believe that he would become a decent back-up point guard.  Considering that he was a subzero player in nine D-League games this season, I would say that was a pretty correct assumption.  Garrett is a similar case, except that he was an undrafted free agent who excelled in a short D-League stint but absolutely tanked in the Association.  Of course, Haddadi is cheap and almost as ineffective as the rest, as well as older than Beas to boot.  I really have no idea who the Suns would jettison fifth; in my actual draft, I think I will settle on Markieff Morris, as he was roughly equivalent to his brother, but they didn’t have to spend a draft pick this February to get him.

Portland (2 Unprotected)

  • Who They Should Absolutely Protect: Nicolas Batum
  • Who They Should Not Protect: No One
  • Who I Would Not Protect: Joel Freeland, Sasha Pavlovic
  • Who They Would Not Protect: Freeland, Victor Claver

Damian Lillard did not make my “Absolutely” list because advanced stats are not impressed with him all that much.  Freeland and Claver were European imports in their mid-twenties who did not pan out, Freeland somewhat less predictably.  I am honestly surprised that Pavlovic has managed to remain in the league this long; like Sebastian Telfair, he has never played particularly well yet always manages to secure a low-level contract.  He must be, like, a magician or something.  I dunno.

Sacramento (4 Unprotected)

  • Who They Should Absolutely Protect: Their owners-from angry Sonics and Kings fans
  • Who They Should Not Protect: Everybody else, except for maybe Isaiah Thomas and Tyreke Evans (restricted)
  • Who I Would Not Protect: John Salmons, Jason Thompson, Travis Outlaw, James Johnson (restricted)
  • Who They Would Not Protect: Salmons, Outlaw, Johnson (restricted), Jimmer Fredette

The Sacramento Kings’s front office has been horrific in recent years.  Even when they think they sign a bona fide star, like “Boogie” Cousins or Tyreke Evans, it blows up in their face like a Molotov cocktail, although I will admit that Evans legitimately broke out last season, hence his status off of the “Should Not” list.  Salmons and Fredette in the same trade.  I would have rather had the pieces they surrendered; Beno Udrih and Bismack Biyombo, whose name makes me think “Big Smack” and who is purportedly six years, six months, and three days young than The Jimmer.  Of course, the BYU man can shoot a mean three; it’s everything else that’s bothersome.  But I wouldn’t turn him over to the king.  I think that the Thompson contract, $30M for a mediocre power forward, is just absolutely insane now, although it was more defensible a year ago when it looked like he had become a solidly above-average player.  Everyone, say, “Hi,” to Regression to the Mean; he may be annoying, but he isn’t going away anytime soon.  Outlaw is in the same camp as Pavlovic from the previous segment, only this guy gets the big bucks.  James Johnson also did not pan out necessarily, although he has produced in some seasons.  I considered future RFA Toney Douglas, but he has more value to the team and on the court than these other guys.

San Antonio (4 Unprotected)

  • Who They Should Absolutely Protect: Unfortunately, Just About Everybody
  • Who They Should Not Protect: Gary Neal (restricted)
  • Who I Would Not Protect: Neal (restricted), Matt Bonner, Nando De Colo, Patrick Mills
  • Who They Would Not Protect: Bonner, De Colo, Mills, Aron Baynes

This Spurs squad is the polar opposite of the Sacramento one.  There is literally not a bad contract on the books, and Parker and Duncan have insanely good contracts-although I am still fuming over some of the poor decisions Parker made on Tuesday in Game 6.  (When the Lakers are out, give the Spurs a shout!)  The four guys I picked are all solid players whose defensive capabilities leave something to be desired.  Neal screams “Irrational Confidence Guy” to me-think Jamal Crawford or J.R. Smith-and I’m none too fond of those.  In fact, I would rather take a low-usage player with comparable analytic s over an Irrational Confidence Guy, and numbers and game-watching alike prove that Neal has these tendencies, which is sort of a shame, because he could be even better if he didn’t unnecessarily force stuff so darn much.  The New Zealand-born Aussie Baynes struggled mightily in limited minutes after coming from Slovenia midseason, but I neglected to put him on the “I Would Not” list because he tore up the D-League and because I have a semi-irrational obsession with bringing European players across the Atlantic.  Free Bo McCalebb!  Free Kostas Papanikolaou!  Sorry; I got off on a tangent there.

Toronto (4 Unprotected)

  • Who They Should Absolutely Protect: Kyle Lowry, Jonas Valanciunas
  • Who They Should Not Protect: Rudy Gay, Andrea Bargnani, Linas Kleiza,
  • Who I Would Not Protect: Gay, Bargnani, Kleiza, DeMar DeRozan
  • Who They Would Not Protect: Bargnani, Kleiza, Aaron Gray, John Lucas

Masai Ujiri’s attempts to rid Canada of the scourge of The Bargs are well-known.  I do not think that he would not get rid of The Italian for nothing, but I also do not think that frogs will fall from the sky, and thermonuclear war is far from inevitable because while we are destructive, we are not that destructive.  (Of course, that didn’t stop from having a semi-nightmare about the latter last night.)  Kleiza is in the same boat, except that he costs just a little over 40% as much, he was productive before he took a jaunt in Europe (correlation: unknown), and I don’t think anyone has misguided opinions from the Missouri grad who has represented Lithuania 51 times.  Unfortunately for Raptors fan, I don’t think that The Great and Powerful Ujiri is quite ready to let Rudy go.  Aaron Gray and John Lucas are guys who have hung around but not whacked anyone with a 2×4, although I believe that Lucas is also an Irrational Confidence Guy.  DeRozan is not a bad player and not a bad guy, but do you really want to pay $9.5M each year for four years for inefficient wing scoring on this team?  [Stifles urge to make joke]  One of them will be booted off the island for sure, and Torontans should be weeping that this is not actually going to happen.

Utah (1 Unprotected)

  • Who They Should Absolutely Protect: No One
  • Who They Should Not Protect: Kevin Murphy
  • Who I Would Not Protect: Murphy
  • Who They Would Not Protect: Jerel McNeal

If they had multiple spots to leave unguarded, I would go with Marvin Williams, as he just never seemed to mesh in Utah and is underrated, but they don’t, so I won’t.  Murphy, whose Arturo projection was just stunningly awful, played less than mediocre…in the D-League, whereas McNeal was solidly above-average.  Of course, the Jazz invested in a few grand in McNeal and a draft pick in Murphy-guess which one they’ll keep.  Yay Sunk Costs!

Washington (2 Unprotected)

  • Who They Should Absolutlely Protect: No One
  • Who They Should Not Protect: Nene, Kevin Seraphin
  • Who I Would Not Protect: Nene, Seraphin
  • Who They Would Not Protect: Seraphin, Jan Vesely

It is offical; the Wizards are not stupid because they benched Vesely and Seraphin almost completely in the second half of the season.  I don’t mind keeping Vesely around because of Nene’s $13M bill for the next 3 seasons, considering that the Brazilian is 31, average, and injury-prone, Vesely does not look so bad.  Seraphin, though, is swimming in the depths of Bargnani territory.  That is not good.

—–

So, finally, I am done setting my draft pools.  Where there is uncertainty, I will confirm my decisions during the draft posts themselves.  I hope that you have enjoyed this series of posts thus far, and that you will come back to complete the reading of this five-post segment.  And so I sign off with thank you for reading, please comment, and please come back.

 

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More Expansion Draft Fun: 2012-13 Draft Pool, Part 2

I’m back, with analysis for ten more teams on the way.  My previous post discusses the specifics of the exercise, and you can click over to it at the bottom of this post.   Here we go with Part 2 of setting the draft pools:

Houston (6 Unprotected)

  • Who They Should Absolutely Protect: James Harden, Chandler Parsons, Greg Smith, Patrick Beverley
  • Who They Should Not Protect: Francisco Garcia, Aaron Brooks
  • Who They Would Not Protect: Garcia, Brooks, Royce White, Tim Ohlbrecht, Thomas Robinson, Carlos Delfino
  • Who I Would Not Protect: Garcia, Brooks, White, Ohlbrecht, Delfino, Jeremy Lin

Once I got past Garcia, Brooks, and Ohlbrecht, the latter two of whom played a combined total of fifty regular season minutes for Houston last year, the guesses got really hard.  As much as I think Daryl Morey likes White’s potential, I am also pretty sure that he is sick and tired of all his antics.  They have been trying to shop Robinson for a draft pick, and having him be picked rather than one of their other solid players would not be a horrible concession.  Garcia is just overpriced and his advanced stats are mediocre.  While Delfino is a solid player, I just think that this team has so many shooters, and the fact that only Garcia on this team is older than him (by about eight months) would leave him as the odd man out.  I think that Houston would and should absolutely protect the four I listed above, as well as Terrence Jones, because all except for Harden are really cheap, they are all solidly above-average, and none of them are older than 25.  I would leave Lin available because of the presence of Beverley and the fact that Harden is so ball-dominant and so much more productive,  I considered leave Donatas Motiejunas available rather than Delfino, but I really just think that he was misused as a shooter, as he shot 57% from inside the arc and 29% outside it, yet took over a third of his attempts from range.  Plus, I really like his name.

Indiana (4 Unprotected)

  • Who I Would Absolutely Protect: Roy Hibbert, George Hill, Paul George, Lance Stephenson
  • Who They Should Not Protect: Danny Granger, Ian Mahinmi, Gerald Green
  • Who I Would Not Protect: Granger, Mahinmi, Green, Miles Plumlee
  • Who They Would Not Protect: Mahinmi, Green, Plumlee, Ben Hansbrough (restricted)

I think that Danny Granger is overpriced and in the Antoine Walker/Allan Houston realm of overpriced scorers who are left unprotected because they are paid so much that they will not be picked.  Mahinmi and Green had bad years last year, although the French center’s was somewhat uncharacteristic, and Hansbrough did not produce.  I put Hibbert on my “Absolutely” list even though he only has one good really good season analytics-wise (the lockout year) because of his prodigious interior defense.  Orlando Johnson could have conceivably found his way onto the “They Would Not” list, but I think that Green’s reputation has soured once again to the point that the Pacers recognize his lack of production.

Clippers (1 Unprotected)

  • Who I Would Absolutely Protect: Bake Griffin, Eric Bledsoe
  • Who They Should Not Protect: No One
  • Who I Would Not Protect: Caron Butler
  • Who They Would Not Protect: DaJuan Summers

I would leave Butler because he is old, not great, expensive, and having little trade value.  They would leave Summers because when he played, he has been below subpar.  I was very surprised to learn that the Clippers only have eight players under contract for next year.  This should be a very interesting team to watch beyond the Chris Paul saga.

Lakers (4 Unprotected)

  • Who I Would Absolutely Protect: No One
  • Who They Should Not Protect: Kobe Bryant, Pau Gasol, Metta World Peace, Steve Blake
  • Who I Would Not Protect: Bryant, Gasol, Peace, Blake
  • Who They Would Not Protect: Peace, Blake, Chris Duhon, Devin Ebanks (restricted)

Nobody would pick Bryant and Gasol, but if they did, it would be a major salary cap relief.  Peace and Blake are overpriced and have been amnesty candidates.  Duhon fell out of Mike D’Antoni’s rotation, while Ebanks has never been in any rotation.  Unfortunately, the Lakers’s front office seems to like Darius Morris, and Andrew Goudelock impressed in the play-offs despite an abysmal performance last year.

Memphis ((Edit: 3) Unprotected)

  • Who I Would Absolutely Protect: Zach Randolph, Marc Gasol, Mike Conley, Ed Davis
  • Who They Should Not Protect: Darrell Arthur
  • Who I Would Not Protect: Arthur, Tony Wroten, (Edit: Jon Leuer (restricted))
  • Who They Would Not Protect: Wroten, (Edit: Leuer (restricted)), Austin Daye (restricted)

Tony Wroten did not play well last year, and I seem to remember that his reputation is not squeaky clean.  Arthur seems to be a Stretch 4 made of of paper, but he was inexplicably  the third big ahead of Davis, who is uber-cheap and uber-efficient.  Daye finally played productively for once, but he also was pinned to the bench.

Miami (5 Unprotected)

  • Who I Would Absolutely Protect: LeBron James, Dwyane Wade
  • Who They Should Not Protect: James Jones, Norris Cole, Rashard Lewis, Jarvis Varnado
  • Who I Would Not Protect: Jones, Cole, Lewis, Varnado, Mike Miller
  • Who They Would Not Protect: Jones, Lewis, Varnado, Miller, Joel Anthony

Except for Miller and Anthony, all of these guys are cheap scrubs.  Miller has run the gamut with his injury history while being paid $6.2M annually, while Anthony rode the pine this year.  Norris Cole and his flattop have broken out this postseason, but I’m still not big on him-relatively small sample size and all that jazz.

(Edit: Accidentally forgot Milwaukee.  This was not a shot at Bucks fans, just a simple error.)

Milwaukee (2 Unprotected)

  • Who They Should Absolutely Protect: Larry Sanders
  • Who They Should Not Protect: Monta Ellis, Drew Gooden
  • Who I Would Not Protect: Ellis, Gooden
  • Who They Wood Not Protect: Gooden, Gustavo Ayon

Sanders is a beast.  Monta Ellis is a chucker, although he is slightly better than I imagined.  Unfortunately for Bucks fans, the team offered him a 3-year, $36M extension, which he turned down.  He had better hope someone else offers him a big fat check.  Needless to say, Milwaukee wants to keep him.  I am honestly surprised that Gooden has not been amnestied by someone yet, as his skills have evaporated faster than rainwater in a desert.  Ayon and Ish Smith were acquired in the J.J. Redick trade, and while the former can actually ball, Smith costs two-thirds as much and is three years younger.

Minnesota (4 Unprotected)

  • Who I Would Absolutely Protect: Kevin Love, Andrei Kirilenko
  • Who They Should Not Protect: Derrick Williams, Jose Barea, Alexey Shved
  • Who I Would Not Protect: Williams, Barea, Shved, Greg Stiemsma
  • Who They Would Not Protect: Williams, Stiemsma, Malcolm Lee, Chris Johnson

While Shved was a good signing, he was not a good acquisition, insofar as he has not panned out as hoped, in part because of an inability to shoot efficiently.  Williams has been given up on, and I don’t blame the T’Wolves.  Lee and Johnson play little, so I guess….People remember Barea for his exploits with Dallas, which led to a massive, undeserved paycheck, but I think that Minnesota’s front office is still aboard the ship headed for Puerto Rico.  Keeping Shved around is more than defensible, though.

New Orleans (3 Unprotected)

  • Who I Would Absolutely Protect: Anthony Davis
  • Who They Should Not Protect: Eric Gordon, Jason Smith, Austin Rivers
  • Who I Would Not Protect: Gordon, Smith, Rivers
  • Who They Would Not Protect: Smith, Lance Thomas, Terrel Harris

The fact that Eric Gordon is overrated is irrelevant when you consider his injury history and salary.  That alone is enough to justify feeding him to the wolves.  He would be an awesome risk for an expansion team, but I think that the media will see him as another Brandon Roy-which would be more than a little generous.  Smith has a reputation as a good back-up center, but alas, he is not, as he takes way too many jumpers.  That being said, he is good from mid-range, but that is just not efficient for a center, especially considering his relatively anemic rebounding rate.  Harris is a scrub, but the Hornets have more expensive fish to fry in my opinion, hence the inclusion of the baffling Austin Rivers.   Analytics like Lance Thomas, but his minutes paled in comparison to Al-Farouq Aminu’s, and the Wake Forest grad actually had his rookie option declined, which is really kind of strange.

New York (3 Unprotected)

  • Who I Would Absolutely Protect: Tyson Chandler
  • Who They Should Not Protect: Carmelo Anthony, Amar’e Stoudemire
  • Who I Would Not Protect: Anthony, Stoudemire, Marcus Camby
  • Who They Would Not Protect: Stoudemire, Camby, James White

The Knickerbockers have been trying to rid themselves of Amar’e for several years now, and I don’t blame them with his humongous salary and far-from-jaw-dropping production.  I differ with Melo, as I think he is overpriced (it is obvious that I learn more toward Wins Produced) and a team-killer.  Camby was really good two years ago with Portland and Houston, but he was not as good in limited minutes in the Big Apple, a phenomenon I think partly caused by injury, advanced age, and sitting on the bench.  Like Jeremy Evans, James White is a phenomenal dunker; unlike Evans, he does not appear to be a diamond in the rough, so I can see the Knicks going that route.

To be continued…

More Expansion Draft Fun: 2012-13 Draft Pool, Part 1

Hello!  My last post discussed the players I would have picked if I had been the Bobcats’s General Manager during their Expansion Draft.  Well, one thing led to another, and I decided to attempt a two-team Expansion Draft for 2012-13.  But before I can do that, I have to determine which players would be left unprotected, which I will do over a series of three posts before culminating in the actual drafts themselves, one for each draft pool.  Therefore, I am going to state my opinions, and then predict on which other player would actually be left out in the cold.  Each team can protect up to eight players, including upcoming Restricted Free Agents.  Upcoming Unrestricted Free Agents can neither be selected nor protected.  It should be noted that exactly one player from each team would be selected in the Expansion Draft.  While my verb tenses may say otherwise, this is merely a thought experiment.  I drew my conclusions using what I have heard of player evaluations, play time, Wins Produced, and Win Shares. Here are the first ten teams to be analyzed:

Atlanta (1 Unprotected)

  • Who They Should Absolutely Protect: Al Horford
  • Who They Should Not Protect: No One
  • Who They Would Not Protect: Ivan Johnson (Restricted Free Agent)
  • Who I Would Not Protect: Lou Williams and/or DeShawn Stevenson

Because they only have eight protectable players, they must leave one available.  This is tricky, as there are no awful contracts on this roster, as none of their players are awful, and their mediocre ones are mostly young and cheap.  Johnson, who is 29, is an average power forward who can easily look mediocre or worse as he is a Low-Usage bench player.  Losing the Right of First Refusal and handing over the proper Bird Rights is not a big deal.  However, Williams makes over $5 million for the next two seasons, and Stevenson makes half that.  Williams has trade value, and Stevenson is historically unproductive.  On the surface, neither of these like candidates, especially on a roster with Johnson, Mike Scott, and Shelvin Mack, the latter two of whom are in their mid-twenties and have “low upside”.   However, Atlanta is trying to make a run at Dwight Howard, and any lost cap space would be welcome.  I would probably go with Williams, but I considered Stevenson because Williams may be worth a future first-rounder.  Whoever is chosen will be lost, so putting any other than Horford on the chopping block would not be a bad idea, and only he, John Jenkins, and Jeff Teague would be infeasible from the team’s perspective.

Boston (6 Unprotected)

  • Who They Should Absolutely Protect: Rajon Rondo, Jared Sullinger
  • Who They Should Not Protect: Fab Melo, Jordan Crawford, D.J. White, Terrence Williams
  • Who They Would Not Protect: White, Williams, Shavlik Randolph, Jason Terry, Brandon Bass, Courtney Lee
  • Who I Would Not Protect: Melo, Crawford, White, Williams, Paul Pierce, Jeff Green

Boston has a lot of good players, so guessing the last few of their decisions is hard.  I would choose to leave Pierce available because of his hefty price tag, which implies that he would not be selected, and the fact that only one Celtic will go.  Notably, Eddie Jones and Kerry Kittles were available for Charlotte, and even though I had exhibited a tendency to splurge, I did not jump for them despite advanced stats’ affinity for them.  Kevin Garnett would be in a similar situation.  I think Pierce would be safe, and Green would ultimately be taken.  Green has always been overrated, but the Celtics are one of the teams that overvalues him.  The same applies for Crawford, although I would not be surprised to see him replace Bass, Lee, or Terry on an actual list.  White, Williams, and Randolph are all late season pick-ups, and only Randolph has ever been productive in the NBA.  Unfortunately, Shavlik is the type of player who is frequently overlooked.  I think Melo is a future example of the sunk cost fallacy, but I would not blame the C’s for hanging onto him.  Lee, Bass, and Terry are all productive but slightly overpriced, although Lee is probably underrated.  I also think that Avery Bradley is overrated, but Green is more so.  To put it simply, this was hard.

Brooklyn (4 Unprotected)

  • Who They Should Absolutely Protect: Deron Williams, Brook Lopez, Reggie Evans
  • Who They Should Not Protect: Joe Johnson, Gerald Wallace, Tyshawn Taylor, Kris Joseph
  • Who They Would Not Protect: Wallace, Taylor, Joseph, Kris Humphries
  • Who I Would Not Protect: Johnson, Wallace, Taylor, Joseph

Because the Nets have both a lot of overpriced and ineffective players, this was much easier.  Johnson is below-average, 32, and paid like a star.  I do not think they would leave him unprotected because they have cheap, young, bad players who are typical candidates.  While I considered leaving Williams and Lopez, they have not quite but almost-deserved reputations as star players and could be snatched up.  Wallace has declined and is on the wrong side of 30.  I would say that Brooklyn was just a bad fit except that I have heard that has game relied heavily on his athleticism, which is what Bill James would call a “young man’s skill”.  Wallace ain’t young no more.  Kris Humphries has a reputation for being one of the biggest albatrosses around, so it is a no-brainer that he would be put up for sale.  Taylor played absolutely awfully this season, and Joseph was average in the D-League.  Joseph could be replaced by Tornike Shengelia, but the Shengelia is two years his junior and played at a star level down in the minors.  I would not be shocked to see Mirza Teletovic replace Wallace, but he is much cheaper and I think that Prokhorov likes him.

Charlotte (2 Unprotected)

  • Who They Should Absolutely Protect: Michael Kidd-Gilchrist
  • Who They Should Not Protect: Ben Gordon, Tyrus Thomas
  • Who They Would Not Protect: Gordon, Thomas
  • Who I Would Not Protect: Gordon, Thomas

This is easy; Gordon and Thomas might just be the two worst contracts in the NBA.

Chicago (2 Unprotected)

  • Who They Should Absolutely Protect: Derrick Rose, Joakim Noah, Jimmy Butler
  • Who They Should Not Protect: Carlos Boozer, Richard Hamilton
  • Who They Would Not Protect: Boozer, Malcolm Thomas
  • Who I Would Not Protect: Boozer, Hamilton

For some reason, people still think that Rip has value.  I don’t think that he ever really did, or at least not since he turned 30, which was a long time ago.  Boozer is an Amnesty candidate; Malcolm Thomas is treated as a quadruple-A player, although he was really good two years ago in the D-League.  He hasn’t had many minutes at either level since then.  I would also consider leaving Marquis Teague on the market and just amnestying Boozer.

Cleveland (3 Unprotected)

  • Who They Should Absolutely Protect: Anderson Varejao, Kyrie Irving, Tristan Thompson
  • Who They Should Not Protect: None
  • Who They Would Not Protect: Kevin Jones, Chris Quinn, Omri Casspi (Restricted)
  • Who I Would Not Protect: Alonzo Gee, C.J. Miles, Quinn

Jones was mediocre this year but had a solid rookie projection.  Quinn played great in the D-League but is 30.  I have been rooting for Casspi ever since I read about him in Sports Illustrated when he was a rookie, but he only played 500 minutes and it costs the Cavs nothing if they let him go.  Originally, I had Marreese Speights and Miles under “Should Not Protect”, but their Win Shares numbers were better than I had anticipated, as I usually look at Wins Produced.  Gee played well last year, but Wins Produced had him as a shooting guard, which inflated his numbers and, consequently, my opinion of him.  I think that Dion Waiters and Tyler Zeller have trade value, which is why I would hold onto them.

Dallas (2 Unprotected)

  • Who They Should Absolutely Protect: No One
  • Who They Should Not Protect: O.J. Mayo, Jared Cunningham, Josh Akognon
  • Who They Would Not Protect: Akognon, Bernard James, Darren Collison (Restricted)
  • Who I Would Not Protect: Mayo, Cunningham, Akognon

I don’t think that the Mavs should waste a Protection slot on Mayo because he is almost definitely going to opt out, and Cunningham played terribly in his stint in the D-League.  Akognon played in China, but he is 27, has little history, is a chucker, and…just no.  James is a great story and productive, but he is a 28-year old second-year player…I don’t think Cuban will keep the military veteran around.  Collison was benched in favor of an ancient Mike James this season for some unknown reason, which will also be influential.  I am very confident that I would have guessed correctly.

Denver (Edit: 6 Unprotected)

  • Who They Should Absolutely Protect: Kosta Koufos, Kenneth Faried
  • Who They Should Not Protect: Andre Iguodala
  • Who They Would Not Protect: JaVale McGee, Anthony Randolph, Jordan Hamilton, Quincy Miller, Julyan Stone (Restricted), (Edit: Timofey Mozgov (restricted))
  • Who I Would Not Protect: Iguodala, Danilo Gallinari, Randolph, Miller, Stone (restricted), (Edit: Timofey Mozgov (restricted))

I sort of surprised myself with my “I Would Not Protect” section, but let me explain.  Iguodala has all but exercised his Early Termination Option, which means that he is leaving anyway, and the expansion teams are less likely to pick him up.  Wilson Chandler is actually pretty decent for a small forward, and while overpriced, is much cheaper and not much weaker than Gallo.  Randolph, while possessing gobs of potential, will probably not get played much and has “awful feel for the game”, according to Julien Rodger, among others.  Miller was mediocre in the D-League, while Stone would not get picked and should sign his Qualifying Offer.  In my scenario, I would lose Gallinari, but I would figure something out.  However, McGee and Hamilton would replace my “shocks” because they both have been underplayed; McGee has a rep as a headcase; Hamilton must not work hard in practice or something.  I never even considered Evan Fournier; his Win Shares are good, he’s only 21, and he has lots of “potential”.  For once, I believe it, as he is a slasher who is probably still becoming accustomed to the NBA.

Detroit (2 Unprotected)

  • Who They Should Absolutely Protect: Greg Monroe, Andre Drummond
  • Who They Should Not Protect: Charlie Villanueva
  • Who They Would Not Protect: Villanueva, Viacheslav Kravtsov
  • Who I Would Not Protect: Villanueva, Rodney Stuckey

Greg Monroe struggled a little bit last year, but I think that players sometimes just have done years, and that Monroe had one last year.  Drummond looks like Shaq.  Villanueva has been discussed for amnesties.  For the second slot, I considered Kim English, Khris Middleton, and  Kravtsov for my guesses, and Kravtsov is the oldest, most expensive, and least-played.  He was also the most productive.  I would not protect Stuckey because he is expensive and mediocre, and he would be more likely to be selected than the man Kevin Garnett once dubbed a “cancer”.

Golden St. (6 Unprotected)

  • Who They Should Absolutely Protect: Stephen Curry
  • Who They Should Absolutely Not Protect: Richard Jeferson, Andris Biedrins, Kent Bazemore, Dwayne Jones
  • Who They Would Not Protect: Jefferson, Biedrins, Bazemore, Jones, Draymond Green, Scott Machado
  • Who I Would Not Protect: Jefferson, Biedrins, Bazemore, Jones, Green, Andrew Bogut or David Lee (but not both)

There is nobody who follows the NBA who would say that Jefferson and Biedrins do not have albatross contracts.  Jones, Green, and Machado were all late season pick-ups; the only reason that I am would leave Machado protected is that he had a really good Wages of Wins projections.  Bazemore seldom played and was terrible when he did.  Green cannot shoot.  Now, for the big ones.  The Warriors are in the hunt for Dwight Howard.  While their means of acquisition would be a sign-and-trade for Bogut and others, having one selected in an Expansion Draft would free up cap space to make their end of the deal more flexible; they no longer have to perfectly match salaries because they are not brushing up against the apron, $4 million above the tax, which becomes a hard cap the second they sign the sign-and-trade.  They know this would be freed up because no team would miss a chance to snag Bogut or Lee.  I would probably Lee toward Lee because he is a terrible defender, and Bogut is younger and would be used to trade for Howard if he chooses to hop from LA to San Fran.

To be continued…

I’m Back with What I Would Have Done During Charlotte’s Expansion Draft


I apologize for having not posted for over a month.  I have had some ideas on tap, but I just haven’t done anything with them, and I have been lazy and busy.  Furthermore, I am still waiting on The Wages of Wins’s Arturo Galletti to post his new draft model so I can see who is projected to be good.  Anyway, while working on a project entirely unrelated to this blog, I came across the 2004-05 expansion Charlotte Bobcats, who won a grand total of 18 games despite having Gerald Wallace, a rookie Emeka Okafor, an old Steve Smith, Brevin Knight, and a productive Jason Hart on their team.  (Notice that the latter two were both point guards.)  They did poorly, however, because of the presence of Kareem Rush, Melvin Ely, Jason Kapono, Keith Bogans before he was good, and a careening Jahidi White.  This gave me the idea to try to create the best Bobcats team possible.  In an old forum of some sort, I looked up all of eligible players and the Draft rules, and put their information including Wins Produced and Win Shares in a spreadsheet.  I then proceeded to pick my team.  Here were the rules, copied from the Bobcats’s website:

A. Player Selection

  • The Charlotte Bobcats Expansion Draft will take place on June 22 (if the NBA Finals extend to seven games, it will be June 23), prior to the 2004 NBA Draft on June 24.
  • The Bobcats will select a minimum of 14 players who are under contract or restricted free agents for the 2004-05 season.
  • The Bobcats may select no more than one player from each team.
  • The Bobcats can only select players that are left unprotected by an NBA team.
  • Each of the 29 NBA teams may protect a maximum of eight players on its roster who are under contract or are restricted free agents at the conclusion of the 2003-04 season.
  • Each of the 29 NBA teams will designate the players on its roster who are eligible for selection by the Bobcats.
  • Each of the 29 NBA teams must designate at least one player on its roster to be eligible for selection by the Bobcats, even if the team does not have eight players under contract or as restricted free agents for the 2004-05 season.
  • Any player under contract selected by the Bobcats will immediately be placed on the Bobcats roster.
  • Any eligible restricted free agent selected by the Bobcats shall immediately become an unrestricted free agent.
  • Unrestricted free agents are not eligible to be protected nor are they eligible to be selected by the Bobcats.

B. Pre-Expansion Draft Trades

  • Teams will be permitted to enter into pre-Expansion Draft trades involving players or draft picks in which Charlotte agrees to select or not select certain unprotected players in return.

C. Salary Cap

  • Charlotte will be permitted to select players in the Expansion Draft without regard to the Salary Cap.
  • Charlotte will have a Salary Cap in its first season equal to 66% of the Salary Cap applicable to the rest of the league and a Salary Cap in its second season equal to 75% of the Salary Cap applicable to the rest of the league.
  • Charlotte will be permitted to sign any restricted free agent it selects in the Expansion Draft using the same “Bird,” “Early Bird” or “Non-Bird” Exception that the player’s prior team would have had.
  • Compensation paid to a selected player under a contract protected for lack of skill will be excluded from Charlotte’s Team Salary if the player’s contract is terminated (via the waiver procedure) prior to the start of the 2004-05 season.
  • A team with a Team Salary above the Salary Cap will receive a Trade Exception to replace a player (other than a restricted free agent) selected from its unprotected list.

D. Post-Expansion Draft Transactions

  • A team will not be permitted to reacquire a player that it loses in the Expansion Draft prior to the expiration of one year from the date of the Expansion Draft, unless the player is waived and not claimed by any other team.

I followed the original rules and chose my players.  They are listed in the order of determine to the best of my ability from Basketball-Reference.  I was very careful to limit the use of hindsight and only use foresight for the purposes of this project, as I was trying to simulate the actual thought processes of a GM, given what little information I actually know about the inner workings of an NBA team.  Players in bold were actually selected by Charlotte.

  • Boston: PF Brandon Hunter.  Age 23.  1 Year, $620K.  .107 WP48, .066 WS48.
  • Chicago: PF Jerome Williams.  Age 31.  4 Years, $6.1M.  .243 WP48, .127 WS48.
  • Dallas: C Danny Fortson.  Age 28.  3 years, $5.8M.  .169 WP48, .177  WS48
  • Houston: SG Adrian Griffin.  Age 30.  1 Year, $870K.  .093 WP48, .031 WS48.
  • Indiana: PF Austin Croshere.  Age 29.  3 years, $6.26M.  .124WP48, .156 WS48.
  • Clippers: PF Matt Barnes.  Age 24.  Restricted Free Agent.  .081 WP48, .045 WS48.
  • Lakers: C Jamal Sampson.  Age 21.  1 Year, $695K.  .286 WP48, .156 WS48.
  • Mempis: PF Bo Outlaw.  Age 33.  Restricted Free Agent.  .166 WP48, .107 WS48.
  • Miami: C Loren Woods.  Age 26.  Restricted Free Agent.  .144 WP48, .100 WS48.
  • Milwaukee: SG Erick Strickland.  Age 30.  1 Year, $1.65M.  .084 WP48, .069 WS48.
  • Philadelphia: SG Aaron McKie.  Age 32.  3 Years, $3.5M.  .181 WP48, .108 WS48.
  • Phoenix: C Jahidi White.  Age 28.  1 Year, $6.1M.  .052 WP48, .064 WS48.
  • Portland: PG Eddie Gill.  Age 26.  2 Years, $720K.  .092 WP48, .091 WS48.
  • Sacramento: SF Gerald Wallace.  Age 22.  1 Year, $1.55M.  .117 WP48, .052 WS48.
  • San Antonio: PG Charlie Ward.  Age 34.  2 Years, $1.7M.  .132 WP48, .110 WS48.
  • Seattle: SG Richie Frahm.  Age 27.  Restricted Free Agent.  .192 WP48, .152 WS48.
  • Washington: PF Lonny Baxter.  Age 25.  Restricted Free Agent.  .082 WP48, .094 WS48.

I have some notes.  For one, most of these guys are fairly low-Usage.  That being said, they are collectively about average with regards to their advanced stats.  This team has good shooting and good rebounders.  All in all, I think this team would win 30-35 games, which would not have put them in the play-off hunt in 04-05 but would have in 03-04.

The only reason that I picked Jahidi White is because in real life, the Suns traded a future 1st-rounder for the insurance that he would be picked.  The Clippers offered a similar trade for Predrag Drobnjak, but that guy was beyond horrible.

There were some other interesting players who I did not pick for one reason or another.  Kerry Kittles and Eddie Jones, Wages of Wins favorites, were both available, both both cost a lot of money ($9.25M and $14.55M, respectively).  I also seem to remember Kittles having a lot of injuries the following year-I am not sure whether or not he was already suffering.  Ruben Patterson was also available, but I think that Eddie Gill, a cheap, youngish back-up point guard, was a better investment considering that Ruben would cost $5.9M and be on the hook for two additional years.  Kevin Ollie was a good point guard, but so were the cheaper Ward and Gill, while Anthony Johnson cost only $2.2M but played on the same team as Croshere whose presence made my eyes dance.  Greg Buckner was a Wages of Wins uber-favorite in just about every year except for 2003-04.  That, and the fact that McKie played on the same team, led to me not picking him.

As for the now-Unrestricted Free Agent that I have Bird Rights for, I would have gone after Frahm and Woods most because they play positions where I am weaker, are known producers, and are not old and expensive like I am assuming Outlaw would be.  However, I drafted everyone with the intention of at least trying to sign them.

Because I would not have made the Drobnjak trade, I would have the 4th and 33rd picks.  Andre Iguodala, Josh Childress, and Luol Deng are Top 10 Picks who were highly rated by the Old Wins Produced version of Arturo’s Draft Model, as were Jameer Nelson and Delonte West.  While Iguodala was picked last from the first group, it was conceivable for him to go as high as No. 3, so he is a feasible selection at No. 4.  Hopefully, I would pick him, as he was also the most productive pro of the three all around.  With my second-rounder, my selection is almost irrelevant, as Chris Duhon and Trevor Ariza are the only available guys who did anything real in the NBA, and neither are in Arturo’s top five, so I cannot see their projections.  Considering this, I would like to trade up into the late teens to snag Nelson.  While hindsight is yelling at me to say, “No,” I would consider trading Wallace, a high potential guy, and the No. 33 pick to Denver for the No. 20 pick, which was in fact where Nelson was selected and later traded to the Magic.  With that, here would be my starting depth chart:

  • PG:  Charlie Ward, Jameer Nelson Eddie Gill
  • SG: Aaron McKie, Adrian Griffin, Erick Strickland
  • SF: Jerome Williams, Andre Iguodala, Grffin
  • PF: Austin Croshere, Williams, Brandon Hunter
  • C: Danny Fortson, Jamal Sampson
  • Inactive:  Jahidi White

If I signed Frahm, he would displace Strickland and Griffin would split more evenly, while Woods would probably displace Hunter and go in front of Sampson, as he was more of a proven commodity.  I think this team would finish near .500, in good position to select Danny Granger, whom I think has played the 4 really well in his rookie season according to The NBA Geek, or Nate Robinson, who has played the 2 spot regularly, both of whom were recommended by Arturo and picked after the lottery.

Interestingly enough, many of the players that I would have picked regressed the following year, but they were not the likely offenders.   Of my over-30 years, Williams regressed but still played at an average levels, Griffin proved that the previous year had just been a down one, Outlaw dipped but only to mediocrity, Aaron McKie was roughly the same, and Charlie Ward hovered just below average instead of just above, although Erick Strickland fell way below 0.  However, Hunter became woefully ineffective, Croshere dipped below average, Sampson regressed to the mean, Woods dropped similarly to Outlaw, Jahidi White did a free fall into no man’s land, Gill dropped, Frahm regressed to the mean, and Lonny Baxter barely played.  Only White and Sampson can blame their fall on the Bobcats, and Wallace improved by a degree more reasonably attributable to random variance.  I honestly cannot explain this.  However, Fortson, Barnes, and Wallace did not decline, so this is probably just a random coincidence of strange fortune and a handful of small sample sizes.

Thank you for reading my post.  I think that this should prove that expansion teams do not have to be awful, although it is extremely hard to make a good one.  One caveat one could point out is that my team is not very young, but it only has four players tied to contracts for more than two years, although all of them are older than 28, and all these players had been historically productive, with the possible exception of Croshere if one wishes to be really picky.  Thank you for reading, please comment, and please come back.

P.S.  If you are interested, the spreadsheet that I used to analyze the data can be found at ExpansionDraft.  Players highlighted in red have their stats from a season other than the one described.

Hi, My Name Is Arsalan Kazemi, And I’m Really Good at Basketball

First off, I would like to apologize for the fact that it has been almost two months since I have blogged.  It’s not so much that I haven’t had much to write about, or that I’ve been extremely busy; really, I think I sort of burned myself out.  Anyway, I am just really excited to get this thing up and running again.  Here we go:

As much as I love examining the Wins Produced statistics of current NBA players, I am absolutely fascinated by those who have not yet made the NBA, even though it is harder to gauge their future productivity.  I think I see this mystery box as an interesting challenge.  At The Wages of Wins, the many talented analysts have to some degree debunked the rumor that players from small colleges should not be given auditions for the NBA because their strength of schedule pales in comparison to the BCS conferences and high mid-majors.  There are other players who are deemed strictly great college players, but who would not be able to make it in the NBA.  Today, I plan on trying to find a role for a player who has had both of these brands at varying times: senior Oregon power forward Arsalan Kazemi, formerly of Rice University.

Kazemi, who is from Esfahan, Iran, is the type of guy that Wins Produced adores.  Despite standing only 6’8″ and weighing 225 pounds, this guy is a very good rebounder and an efficient player overall.  His pace-adjusted Rebounds Per 40 Minutes numbers for each of his seasons in college are: 13.0, 15.1, 13.4 (at Rice), and 12.9 (at Oregon).  It is noteworthy, both now and later on, that in both of the past two seasons his team played at an above-average pace; his unadjusted numbers cluster more around 14.  He is also shot 59.4% and 59.5% in the last two seasons, respectively and has averaged 2.7 and 2.6 Steals Per 40 minutes pace-adjusted over the past two seasons, respectively.  In the same vein as the steals numbers, he has led his conference in Defensive Rating each of the past two years, and his rating this year of 83.0 was ninth-best in the country.  Of the players ahead of him, three went to Stephen F. Austin-including the interesting Taylor Smith-and two went to Savannah State, which are in truly weak conference; Gorgui Dieng is the only truly legitimiate prospect ahead of him in this category.  According to the numbers available at www.draftexpress.com, Kazemi has Old-Style Wins Score Per 40 Minutes averages of 13.4, 16.7, 17,7 (at Rice), and 17.1 (at Oregon). Over the past three seasons, only Kenneth Faried and Anthony Davis have produced higher averages in this statistic than Kazemi has.  Kazemi is just amazing.

However, that low usage that mentioned earlier really hurts Kazemi in scouts’ eyes.  While his Usage Rates were always at least average at Rice, he only used about 15.2% of Oregon’s possessions this year when he was on the floor.  This year, he also averaged fewer than 2 Turnovers and 2.4 Fouls Per 40 Minutes pace-adjusted, both definite decreases from his time at Rice; however, skeptics will say that this was probably because of his reduced role, and I would not disagree with them.  He is also not much of a shot blocker, never averaging more than 1.3 Per 40 pace-adjusted, and he only recorded 1.8 Assists Per 40 Minutes pace-adjusted this year.  Still, these are not so big of a deal as he plays power forward, and the assist rate was fifth of twenty-one among power forwards in Draft Express’s Top 100 Prospects list, where he ranks No. 86.

His Prospect Ranking implies that Kazemi will not be drafted.  The likelihood is even less when you consider the rate at which teams select “Project Euros” from picks 45 or 50 and beyond.  However, Kazemi is only a year older than the oldest of the “Project Euros”, and unlike many of them, he can obviously rebound the ball.  However, NBA teams will not draft him if they do not think he can fit in the NBA.

Reggie Evans was not a bad player in college, but he was certainly not an elite one.  In his pre-draft year of 2001-02, his old-style Win Score Per 40 Minutes was only 12.2, 24th among power forwards in the NCAA.  This year, that spot is filled by Oklahoma’s Romero Osby, a player who I doubt very many people outside of the state of Oklahoma consider to be draftworthy.  He only averaged 13.1 Rebounds Per 40 Minutes (pace adjustments are not available at Draft Express for 2001-02), while Kazemi averaged 13.8 Rebounds Per 40 Minutes this season.  Evans was twenty-two when he exited college; Kazemi turned twenty-three just last month.  Evans and Kazemi are both listed at 6’8″, although Evans is twenty-five pounds heavier.  In his rookie season, Evans averaged 13 Rebounds Per 40 Minutes for Seattle, and Wins Produced says that he averaged .216 Wins Per 48.   My point here is that Evans’s statistics in college were not indicative of greatness, but look at what he has become-a fan favorite for Wins Produced buffs are everywhere.  I am hoping that the Lakers will at least consider signing him this summer, especially if they lose Dwight Howard and/or Pau Gasol, if they have any desire to remain competitive because Evans would be so effective.  I honestly believe that Kazemi can be a similar player, and his college statistics are better than Evans’s.

Furthermore, one of the major knocks on Evans is that he is not a great basketball player; he just hustles.  Well, Kazemi’s Per 40 Minute statistics for this season are better than Evan’s in his senior year in every statistic except for fouling, and there there is only a difference of one foul every 100 minutes.  His Draft Express scouting report from February 1 also indicates that Kazemi has at least some athleticism, saying

“Kazemi has proven to be a fairly limited offensive player, relegated mostly to scoring off cuts, offensive rebounds and running the floor in transition.”
“Kazemi still moves incredibly well without the ball, showing excellent hands and solid leaping ability reigning in passes and finishing around the basket.At times, he also shows the ability to attack his man off the dribble in a straight line, though his ball-handling skills are fairly raw and he’s not the type of player who can be consistently asked to create offense for himself.  His active and aggressive style of play allows him to get to the free throw line at a pretty solid rate, though.”

“On defense, Kazemi still shows active hands, and solid awareness, which allow him to defend power forwards adequately at this levelHe does a good job of getting into passing lanes, as evidenced by his career high 3.0 steals per 40 minutes pace adjusted, which ranks him #1 amongst all power forwards in our database and is an accurate reflection of the excellent energy-level and anticipation skills he brings to the table. With that said, he still struggles to guard bigger and stronger post players due to his lack of size, but he nonetheless does a solid job of holding his own in the paint considering his physical limitations.”

“Guarding NBA small forwards may be challenging for him as he does not appear to possess great lateral quickness when defending the perimeter, even if he does a solid job of staying in plays even after he is beat.”

Players like Kenneth Faried (measured 6-6 without shoes), Thaddeus Young (6-5 ¾ without shoes), Chuck Hayes (6-5 1/2), DeJuan Blair (6-5 ¼), Jeff Adrien (6-5 ¼) and Jason Maxiell (6-5) see significant minutes in today’s NBA and are more than holding their own on the interior.”
These quotes all imply that while Kazemi may not be the most athletically gifted player ever, he appears a hard worker and a smart player, in addition to his other skills.  I honestly think that Arsalan Kazemi could serve as a more mobile, yet slightly less strong Reggie Evans-type player, especially for a team with a quicker tempo.  The fact that he is only twenty-three means that, while he is definitely old for a draft prospect, he is not too old to improve at least a little bit.  I definitely think that Kazemi is worth a second-round pick.  Thank you for reading, please comment, and please come back.

Everything in the NFL Is a Market Inefficiency

Normally, I don’t write about football.  Normally, I don’t really write about any sport other than basketball.  However, I just came up with a new, albeit somewhat unoriginal and possibly inflammatory, idea.

I was looking at ESPN’s Free Agent Tracker and seeing their free agent grades.  Something that struck me was that Victor Cruz was ranked fairly low; while Jake Long was highest-ranked at “86” points on an apparently 1-100 scale, Cruz was only 80.  Considering all the praise I’d heard about Cruz-some of it coming from the pre-season before Cruz ever played an NFL game-I was honestly surprised.  I also remembered Bill Barnwell’s recent article on Grantland about how, with the salary cap not increasing at anywhere near the same rate as it had been historically, mid-level veteran free agents were now heavily undervalued, I started to think.

Everyone knows that football is full of diamond-in-the-rough stories: Tom Brady, Kurt Warner, Priest Holmes, and Bart Starr are names that come to mind.  I’ve also previously written that in any given year, about as many or more rookies drafted after the first round will eventually become Pro Bowlers as those drafted in the first round.  Well, I decided to click over to the Approximate Value stat at www.pro-football-reference.com and investigate some more.  Here are the players tied for a place in the Top 10:

  • DE J.J. Watt, Houston: 2011 11th overall pick.  2011 AV: 10, 2012 AV: 20
  • CB Richard Sherman, Seattle: 2011 5th round pick.  2011 AV: 5, 2012 AV: 19
  • RB Adrian Peterson, Minnesota: 2007 7th overall pick.  2011 AV: 8. 2012 AV: 19
  • DE/LB Cameron Wake, Miami: Undrafted.  2011 AV: 8, 2012 AV: 18
  • QB Matt Ryan, Atlanta: 2008 3rd overall pick.  2011 AV: 15, 2012 AV: 18
  • DE Julius Peppers, Chicago: 2002 2nd overall pick.  2011 AV: 12, 2012 AV: 18
  • QB Robert Griffin III, Washington: 2012 2nd overall pick.  2012 AV: 18
  • QB Tom Brady, New England: 1999 6th round pick.   2011 AV: 21, 2012 AV: 18
  • DT Geno Atkins, Cincinnati: 2010 4th round pick.  2011 AV: 14, 2012 AV: 18
  • LB Von Miller, New England: 2011 2nd overall pick.  2011 AV: 12, 2012 AV: 17
  • RB Alfred Morris, Washington: 2012 6th round pick.  2012 AV: 17
  • QB Aaron Rodgers, Green Bay: 2005 24th overall pick.  2011 AV: 23. 2012 AV: 17
  • LB Daryl Washington, Arizona: 2010 2nd round pick.  2011 AV: 9, 2012 AV: 17

If you’ll notice, not a single one of those fourteen players has an Approximate Value within three points of their previous season’s.  It’s well-documented that football statistics are very inconsistent, and this is further evidence, even if AV is specifically designed not to clash too much with conventional wisdom.

Which brings up another point: it is still not absolutely certain exactly what [edit: statistic] wins games in the NFL.  While yards and points are obvious, accreditation is certainly no easy feat, and many people much smarter than me have tried for years.  With all of the systems and reads and luck and everything else, it’s just hard to tell who is responsible for any one play.  However, football is so interconnected and complex that it is difficult-although my love of Wins Produced makes me loathe to say impossible-to determine the absolute truth.  While a SportVU-style tracking camera system would certainly be helpful, it is also worth noting that, as stated by Dave Berri, the average football season has about as many possessions as two or three NBA games for each team.  While a possession in football is much more descriptive than a possession in basketball, with many more plays and events in each one, it is worth noting that the average football game only has about eleven minutes of action; over a sixteen-game season, that is only 176 minutes, or 3-4 NBA games’ worth.

There are so many previously undiscovered “stars” in the NFL each year, and probably many more that we will never discover (what if Kurt Warner gave up during his well-documented and perhaps overblown time grocery-bagging?), that it seems pointless to overpay for players.  Like Barnwell said in his article, it only takes is a little bit of waiting for the price to go way down, and even then it may be ridiculous.  Heck, Jon Kitna played in the NFL for fifteen seasons, but he was discovered at a teammate’s try-out if my memory serves.  Stories like this are over the place;  I mentioned Cruz, an undrafted free agent at the beginning of this post.  It seems to me that experience might just be the biggest market inefficiency out there; until we know for sure how and over what time span to rate players, it seems fallacious to pay millions for one man.  If I worked with personnel in “the league”, I would definitely scour the waiver wire and almost take chances on random players.  If I were really smart, I would avoid the practice altogether.  Thank you for reading, please comment, and please come back.

Trash to Treasure: Why Wins Produced Is Not Wrong to Value the Garbage Guy

If you play basketball, you know that guy.  Maybe he’s not the most talented, but he works his tail off on the boards and on defense, and he is somewhat competent shooting the ball when he’s open.  When he’s not open, he defers, which is what he should do.  He tries to set screens and is disappointed when they don’t work, considering that they’re the one thing he has full confidence in his ability to do.  He gamely works when the “stars” chuck up Contested Mid-Range Jumper No. 30, trying to calculate every variable that could affect the rebound.

When I played basketball, I was that guy.  I always wanted to play, and I often did, but I was never the starter.  I didn’t even get that many rebounds, but I helped keep the tall guy on the other team off of them, so it somewhat evened out.  I tended to camp out about fifteen feet away from the basket on the wings and shoot when prompted.  Every once in a while, I actually made the shot.  I set screens all the time, but they were rarely used in games, much to my chagrin.  Therefore, I can identify with the Reggie Evanses and Dominic McGuires of the world.

Traditional metrics undervalue these guys in favor of the Monta Ellises and Jamal Crawfords of the world.  News flash!  Ellis hasn’t been good since the moped accident, and that was the only year in which he was any good, while Crawford has only been above-average once, with the Hawks…according to Win Shares!  (Wins Produced gives him an extra year above that benchmark in 2005-06.)  They say Al Jefferson is a very good player, possibly even borderline superstar, when in reality he’s “just” very, very solid (career highs per 48: .158 Wins Produced, .173 Win Shares).

When you think about it, though, aren’t the guys like Evans and McGuire the ones you really want to root for?  They work hard, play well, and are underappreciated.  You want these guys to succeed because they have adapted.  They play smart, they play hard, and they take out the garbage.  They are altruistic, always surrendering the ball because they know their limitations.  They do the little things that get things done.  While the volume scorers may be the celebrities of the world-both from a real-life and metaphorical standpoint-these guys drive the dump truck and work at the post office.  Society doesn’t work without them, but they just don’t get proper recognition, and ultimately no one wants to be “that guy” because of all the more lucrative opportunities.

In contrast, the “stars” get all the glory and most of the money.  They are the star basketball’s equivalent of the big man on campus.  Everyone knows what they do, and everyone tries to emulate them.  At the end of the day, they’re the ones whose talents get noticed.  They like the status quo.

If you think about it in a weird way, this is kind of backwards.  While some scorers, like LeBron James, do several things well and are willing passers, for every LeBron there is a Carmelo Anthony or Allen Iverson who just guns, and guns, and guns with little regard for the health and well-being of the team.  They closely resemble a bully, beating up on his own guys with their horrendous shot selection, or the entitled rich kid deriding the “commoners”.  But really, they wouldn’t get to drive their Porsches and Ferraris around on nicely paved roads without those people doing the big little things (little big things?).

In a way, Wins Produced finally recognizes Evans’s and McGuire’s important functions, provided that they do a reasonable good job overall.  I could continue with other guys who more or less fit the bil: Tyson Chandler, Kenneth Faried, Thabo Sefolosha, Jimmy Butler, Shawn Marion, Troy Murphy once upon a time, etc.  And while nobody thinks Wins Produced is perfect-believe me, I have a couple of beefs with the stat that I want investigated-it shows that these guys are valuable and not necessarily dime-a-dozen.  (In fact, many of my issues are related to the fact that volume scorers are somewhat undervalued; see the recent assist percentage argument at www.thenbageek.com where I did not side with the Wages of Wins, or my June article about turnovers.)  And if you hate on Wins Produced only because it “overvalues” guys like Sefolosha and Butler, you look just like the bullies who beat up on the dorky smart guy because he’s weird and he’s smarter than you are.  (Important: I am not trying to insinuate that Wins Produced people are inherently “smarter”, just that intelligence is a definite reason for bullying.)  What is wrong with assigning credit to guys who work hard just to stay in the NBA while devaluing guys who live the high life a bad thing?

We also have to remember that Wins Produced does not measure “skill” per se, but-as it says in the title-Wins.  Really, it says who…produced wins over a certain period of time.  It does not try to be a predictor of how many wins a player will produce next year, although it is a pretty good judge of that, and a better one than Win Shares.  It does not try to predict how many wins a player would produce on another team, but it does that decently well.  In fact, team construction based solely on Wins Produced is a foolhardy exercise; at the end of the day, twelve garbage guys probably won’t win a title.  (However, I may write an article on a mini-study I did on this conflicting this to a degree.)

To have a good team, one has to assemble a roster based on having the most strengths and the fewest weaknesses.  Thus, we have to have players who can fill every role: ball-handling, scoring, rebounding, screen-setting, etc.  Wins Produced simply states that you have to be good and efficient at a job to be productive, and if you meet that criteria, then you are productive.  So to use a probably overused phrase, “Don’t hate; appreciate,” and to use another one, “if you have haters, then you’ve got to be doing something right.”  And Wins Produced certainly does a lot of things right; they even lessened their rebounding “infatuation” by accounting for diminishing returns.  It takes a strong man to admit that he’s wrong, even if he is very stubborn before the fact.  Thank you for reading, please comment, and please come back.

P.S. I understand that Wins Produced does not account for screen-setting.  I just included it because it is part of the standard definition of “garbage guy”.

Edit: The original title, “Hope for the Dorks: Why Hating on Wins Produced Makes You Look Like a Jerk,” was deleted upon further reflection.

An Artistic Science or a Scientific Art: A Philosophical Debate About Basketball

Basketball is a sport, but what is sport?  Is it a form of entertainment.  Is it a form of artwork that manifests itself before our very eyes in hundreds of forms in thousands of places every day, or is it the constant re-evaluation of principles.  Is it both?  Can we quantify sport, simplifying it into a single number that can be taken in any context to derive value?

This article has largely been inspired by a very brief discussion with an acquaintance of mine and last night’s Academy Awards.  The discussion was when I asked said acquaintance, who prides himself on his debating prowess, about the quantifiability of basketball.  He said that it cannot because of all the minute details that occur in a game of basketball.  This is a very common viewpoint which I happen to strongly disagree with.  This also led to the contrast of art and science because of the Academy Awards.  At one point when they were going over the candidates for best song, I got bored and retreated to my computer to do some mathematical work. stating that, “I’m going to try science,” to quote a meme from Arturo Galleti’s old website (and probably, consequently, xkcd or some related webcomic).  This led me to want to really define this matter.

According to Merriam-Webster’s Collegiate Dictionary, Eleventh Edition, the primary modern definition of art is “skill acquired by experience, study, or observation.”  In the same dictionary, the main definition for science is “the state of knowing: knowledge as distinguished from ignorance or misunderstanding.”  To apply those definitions to the game of basketball-or any sport where they have good record-keeping-we are trying to obtain scientific understanding from an art.  To people like the aforementioned great debater, trying to accomplish this is more or less akin to trying to squeeze blood from a turnip.  However, no established member of the advanced stats community believes this; otherwise, they would be little different from how Bill Simmons is/once was.  Even still, I highly doubt that any serious basketball fan would refrain from using any statistics at all when trying to prove a point, even if that stat is points per game.  An entirely atheistic view of the ability of numbers to shed light on a game is highly questionable to say the least.

However, if one does digs but not too deeply, how can they not draw the conclusion that basketball is a game that is best left to the heart and mind rather than the calculator?  Basketball, like any sport, is notoriously difficult to master, with every outcome highly dependent on several minute factors that cannot be easily adjusted in a game situation from play-to-play, let alone be accounted for while said person is actually trying to perform the action.  Even if I knew the optimum angle and velocity with which to propel the basketball into the hoop, there is no way that I can take out my protractor and precisely set up my shot; the prospect is simply ludicrous!  The game of basketball is learned by meticulous practice, careful observation, constant self-analysis, and good coaching.  You cannot teach yourself the game by looking through a bunch of numbers or formulae; you have to learn it!  It does not seem unreasonable to believe that the same approach should not be taken to evaluate the game; just ask virtually any baseball scout pre-Moneyball.

Of course, there are lots of extremely smart people who prove that this is not the case, and people like me who follow them and hope to provide some decent discussion based on these ideas.  They use scientific and mathematical concepts developed for other fields and use them to draw interesting and important conclusions about sport.  The best that people like me can hope for really is to ride on their coattails and hope that we can contribute something-anything-worthwhile.  I am thinking of Bill James, David Berri, Clay Davenport, Nate Silver, whoever came up with Win Shares for basketball (I think it’s Neil Paine), Arturo Galletti, Voros McCracken, and many others.  They show that sports are quantifiable.  And yet, at least in basketball, they tend to disagree.  (Even in baseball, I know that there are at least a couple of different calculations for Wins Above Replacement (WAR).)

When I think of art, I think of a painting or a sculpture.  When we look at art, we all have an opinion.  You could take fifty, or one hundred, or one thousand people, force them to stare at the same piece of art for a while, and, if they were truly isolated when formulating their ideas, would come up with fifty, or one hundred, or one thousands different opinions.  That is where I think there is a difference between art and science; art can be subjective, while science is coldly objective.  This is where the Academy Awards come in; at the end of the day, any score or rating for a movie is going to be a summation or average of a bunch of people’s thoughts and ideas.  It is impossible to quantify it objectively, and if we do, we sort of defeat the purpose of having the art in the first place.

And at its core, basketball is still art.  In this regard, I am so much talking about the events of a basketball game as the basketball game itself.  For example, a strictly analytical person or robot would describe basketball as something akin to, “Basketball is a game played by ten athletes of two teams trying to propel a large round ball into a small hoop suspended ten feet in the air, by bouncing the ball and moving it forward on a wooden court approximately 50 feet wide and 90 feet long,” whereas a basketball fan might describe it as a, “Breathtaking display of agility and brute strength as ten buff athletes maneuver about each other trying to having a large ball swish through a net, while being forced to expertly handle the ball in order to move it, exemplified by sheer athleticism and athleticism.”  Both descriptions describe the same game and, except for the somewhat stuffy language, are entirely different in style.  Thus, sport will always be art.

As I mentioned earlier, the differing opinions will always carry on beyond the game itself.  There are innumerable single-number metrics out there, many of whom have devoted followers who viciously flaunt “their” statistic as being superior.  And even these people will not necessarily subscribe to these numbers as being sacrosanct, each person filled with distinct biases concerning age, style of play, attitude, and other factors both quantitative and qualitative.  One of the most famous aspects of sports culture is outside the game; the bar discussion.  We will never agree about sports, even if we could come up with one single formula that was undeniably superior and unchangeable, which will never happen so long as humanity treads upon this earth and plays the glorious game of basketball.

So, we’ve established in a couple of different ways how basketball is art.  But it is also science.  The fact that the contributions of each of the ten men heroically balling out on the hardwood floor shows us that it is like science.  If you were to look at a Van Gogh or a Monet, even if you knew the exact number of strokes or the exact shade of paint that each man used, would that tell you anything about the painting?  Even if you knew, it wouldn’t matter to you because a) it is difficult to compute exactly what all that entails and b) true art is only something that can be perceived with one’s own sense and feelings and biases.  However, basketball statistics, and sports statistics in general, are not like this.  What these statistics mean is both innately tangible and meaningful.  If I tell you that so-and-so had seven rebounds in last night’s game, you would know exactly what I was talking about and, with a little more additional information, could come up with a clear picture of what that they means and how indicative that is of the player’s play.  Not only can we do this, but we can easily point to numerous areas where we it would tickle our fancies if someone were to add more statistics because our desires are much less difficult to diagnose than with, say, Michelangelo’s David.  The sheer number of mathematical conclusions that we can grasp from sports stats is akin to the number of emotional conclusions that we can draw from art, but we can compare our thoughts in sports and are less prone to biases if we have a number sitting right there, and our biases themselves are based on proofs of what is important and what is unimportant, even if somewhere down the line we come across something whose origin is rooted solely in an unverified thought derived from one person’s mind.  Even our erroneous opinions are enveloped in a cloud of truth.

Perhaps basketball is more science than philosophy, but the science of basketball is unlike the hard sciences of chemistry and physics.  Like philosophy, there are some questions that will never be answered, but unlike philosophy, there are questions that can be answered with finality.  Basketball can be quantified, but the quantifications will always lie short of perfection.  And I am okay with that because the data that we do have works pretty darn well.  Thank you for reading, please comment, and please come back.

Maybe You Just Need a Change of Scenery: A (Hopefully) Unbiased Look at the Impact Changing Teams Mid-Season Has on Wins Produced

So, the trade deadline has passed.  Everyone knows that Wins Produced’s consistency is worse when players change teams.  In fact, I believe that this is one of the main criticisms of Wins Produced and advanced stats in general.  So, I have decided to do some investigation.

Now, I’m honestly not sure if this has been done before.  In fact, I’m sure that Arturo Galletti has done something about this at some point, but I can’t remember the exact details.  What I have done is looked at every player since the 2000-01 season who has played at least 250 minutes each with multiple teams (although the word “multiple” is somewhat misleading as no player over this time span has played more than 250 minutes with three or more teams in a single season) and compared their Wins Produced numbers between the two teams.  Here goes nothing:

In all, 287 seasons met the criteria.  First, I found the correlations between the two data sets.  Here is the data:

C0rrelations

  • 2011-12: 14 Data Points, 60.4% (I’m not sure if listing these as percentages is necessarily proper, but it is much easier to visualize this way.)
  • 2010-11: 34 Data Points, 56.2%
  • 2009-10: 26 Data Points, 72.3%
  • 2008-09: 27 Data Points, 64.7%
  • 2007-08: 29 Data Points, 59.6%
  • 2006-07: 15 Data Points. 20.0%
  • 2005-06: 22 Data Points, 63.5%
  • 2004-05: 28 Data Points, 37.4%
  • 2003-04: 40 Data Points, 18.1%
  • 2002-03: 16 Data Points, -8.7%
  • 2001-02: 14 Data Points, 45.8%
  • 2000-01: 20 Data Points, 60.0%
  • Overall Data: 286 Data Points, 46.6%

There seems to be a definite leap in consistency in 2005-06, with a drop perhaps caused by a smaller sample size in 2006-07, followed by continued years of consistency since then.  At this point in the post, I have no intention of making conclusions; I’ll save those for the end.  Well, while correlations are definitely useful, they only measure consistency; if the two data sets are parallel, the correlation would still be high even if there wasn’t much or any overlap.  (For example, the data sets {3 6 8} and {7 10 12} have perfect correlation.)  So, I decided to find the average distance both as the straight-up difference and absolute value, as well as the standard deviations for each season.  Note that for the average difference in absolute terms, a negative value actually means an increase when playing for the second team rather than the decrease that would be seemingly implied:

Other Data Points

  • 2011-12: 14 Data Points.  Average Absolute Difference: .082.  Average Unabsolute Difference: -.060.  Standard Deviation: .108.
  • 2010-11: 34 Data Points.  Absolute: .052.  Unabsolute: -.017.  Standard Deviation: .072.
  • 2009-10: 26 Data Points.  Absolute: .050.  Unabsolute: -.002.  Standard Deviation: .065.
  •  2008-09: 27 Data Points.  Absolute: .055.  Unabsolute: -.017.  Standard Deviation: .070.
  • 2007-08: 29 Data Points.  Absolute: .079.  Unabsolute: -.006.  Standard Deviation: .094.
  • 2006-07: 15 Data Points.  Absolute: .057.  Unabsolute: .042.  Standard Deviation: .081.
  • 2005-06: 22 Data Points.  Absolute: .073.  Unabsolute: -.041.  Standard Deviation: .086.
  • 2004-05: 28 Data Points.  Absolute: .073.  Unabsolute: -.024.  Standard Deviation: .091.
  • 2003-04: 40 Data Points.  Absolute: .088.  Unabsolute: .060.  Standard Deviation: .122.
  • 2002-03: 16 Data Points.  Absolute: .107.  Unabsolute: -.063.  Standard Deviation: .128.
  • 2001-02: 14 Data Points.  Absolute: .045.  Unabsolute: .013.  Standard Deviation: .065.
  • 2000-01: 20 Data Points.  Absolute: .076.  Unabsolute: -.036.  Standard Deviation: .097.
  • Overall Data: 286 Data Points.  Absolute: .070.  Unabsolute: .022.  Standard Deviation: .090

I also have some other miscellaneous statistics that help paint a picture:

Miscellaneous Statistics

  • Five-Number Summary: Minimum -.349, Q1 -.071, Median -.023, Q3 .032, Maximum .278
  • Interquartile Range: .103
  • % of Players Whose Wins Produced Rate Increased After Switching Teams: 59.8%
  • % of Players Whose Wins Produced Rate Decreased After Switching Teams: 39.2%
  • % of Players Whose Wins Produced Rate Remained Exactly the Same After Switching Teams: 1.0%
  • % of Players Whose Wins Produced Rate Increased More Than One Standard Deviation (roughly .090 Wins Per 48 Minutes): 20.3%
  • % of Players Whose Wins Produced Rate Decreased More Than One Standard Deviation: 9.4%
  • % of Players Whose Wins Produced Rate Did Not Change More Than One Standard Deviation: 70.3%
  • % of Players Whose Wins Produced Rate Would Be Considered Outliers Using the Formula 1.5*Interquartile Range From Mean: 7.7%
  • Outliers Because of Decreasing Productivity: 9
  • Outliers Because of Increasing Productivity: 13 (Note that if the mean had been 0, the numbers would have been 5 and 18 respectively using the same interquartile range.)
  • Data with the Removal of Outliers (Simplified to be a change of .15 Wins Per 48 Minutes): Correlation: 64.1%.  Mean Absolute Value: .057.  Mean Absolute Difference: -.013.  Standard Deviation: .070.

Now, it’s time for some conclusions.  First of all, it seems very clear that, at least from a correlations standpoint, players’ play has been more consistent when switching teams over the last five seasons.  While I have some theories as to why the numbers have become more consistent in recent years, I have nothing to corroborate them with.  One of my guesses is that the game has become more homogeneous over the past few years, but I have no idea where that would come from besides the recent advances in technology, nor do I have any idea about how that would be measured.  Furthermore, I have no glimmer of an idea as to how the game has become more homogeneous.

It also seems very clear to me that there seems to be some benefit to switching teams as the unabsolute difference is usually at least slightly negative, although it positive for the data set as a whole because of the strange 2003-04 season where there were lots of trades but little consistency among the halves of the season for traded players.  Also fueling the fire for the benefits of switching teams is the fact that the median value for the sample is negative, that there was a signficantly greater number of players whose productivity increased rather than decreased after the trade, and the fact that there were more players with drastic increases in productivity rather than drastic decreases, with “drastic” being defined as a change of +.090 Wins Produced Per 48 Minutes, which is approximately one standard deviation as measured by Josh Weil, and by outliers in my study found by taking the interquartile range.  However, there appears a great degree of randomness in the sample, which makes sense as all NBA players are individuals.

Part of the reason why I wrote this article was to investigate the claim that Wins Produced is inconsistent as players switch teams.  While this appears to be true in the first half of the sample, this becomes less apparent in recent years, and I think that it is fair to say that Wins Produced does “keep” well even when players are traded mid-season, which is arguably when one would expect it to be the least consistent.

The spreadsheet I used for the data can be found at TeamSwitchCorrleation.  Thank you for reading, please comment, and please come back.

Role Toni: Studying Mike D’Antoni’s Effect on Role Players

  • While revisiting Ari Caroline’s articles on game theory and floor stretch over at the Wages of Wins Journal (wagesofwins.com), I noticed that someone in the comments brought up Mike D’Antoni’s ability to improve role players while they are in his system, only to see them decline when he leaves.  I decided to investigate, as much of my experience browsing his Suns’ Wins Produced data leaves me feeling that those teams were really carried by Steve Nash, Shawn Marion, and-in some years-Amare Stoudemire.  Using both Wins Produced and Win Shares, as well as True Shooting Percentage, I will go player-by-player and look at their data with and without D’Antoni.  However, I will not include Nash or Marion, who were stars with or without the Seven Seconds or Less coach, and players who never played 500 minutes in an included season for the West Virginian of Italian descent.  I will include the 2003-04 and 2011-12 seasons as D’Antoni spent about two-thirds of each season as the coach.  Mid-season trades are counted as seasons if they qualify and are omitted if they do not.  Trades not including a D’Antoni-coached team are not separated.  The players are listed by first season with D’Antoni and minutes played in said first season.  Here goes nothing:

  • Phoenix Suns

  • 2003-04

SG Joe Johnson

  • Starting Age with D’Antoni: 22.
  • Previous Seasons: WP48: .135, .067.  WS48: .075, .060.  True Shooting Percentage: 47.8%, 47.2%
  • Seasons with D’Antoni: WP48: .068, .117 (as SF-SG .145).  WS48: .047, .112.  True Shooting Percentage: 49.1%, 55.6%
  • Three Seasons After D’Antoni: WP48: .122, .108, .070.  WS48: .086, .105, .100.  True Shooting Percentage: 53.7%, 55.8%, 53.5%
  • Verdict: Slight Possibility.  The increase in shooting percentage was likely natural and did not result in significantly increased productivity, nor was it subject to decline after leaving The Valley of the Sun.

C Amare Stoudemire

  • Starting Age with D’Antoni: 21
  • Previous Season: WP48: .116 (as PF-C .076).  WS48: .116.  True Shooting Percentage: 53.0%
  • Seasons with D’Antoni: WP48: .029, .162, .163, .208.  WS48: .105, .243, .201, .262.  True Shooting Percentage: 53.6%, 61.7%, 63.7%, 65.6%
  • Two Seasons After D’Antoni: WP48: .077, .098  WS48: .149, .181.  True Shooting Percentage: 61.7%, 61.5%.
  • Start of Second D’Antoni Stint: 28
  • Seasons with D’Antoni: WP48: .070, .036.  WS48: .134, .128.  True Shooting Percentage: 56.5%, 54.1%
  • Season After D’Antoni: WP48: .144 (as PF-C .104).  WS48: .200.  True Shooting Percentage: 62.7%
  • Verdict: Moderate Possibility.  While his performance greatly increased in his first full season under D’Antoni, that was also his age 22 season, which means that there is lots of room for growth.  His decline has seemed fairly premature, but he also has an extensive injury history.  Furthermore, a return to D’Antoni’s system did not stop his decline, and he seems to be revitalized in his first full season as a Knick with Mike at the helm.  I honestly don’t know what to make of it.

SG Casey Jacobsen

  • Starting Age with D’Antoni: 22
  • Previous Season: WP48: .041.  WS48: .051.  True Shooting Percentage: 49.3%
  • Seasons with D’Antoni: WP48: .103 (as SF-SG .131), .071.  WS48: .068, .067.  True Shooting Percentage: 57.0%, 57.5%
  • Seasons After D’Antoni: WP48: .131, -.040 (as SF-SG -.012).  WS48: .074, -.023.  True Shooting Percentage: 54.3%, 43.7%.  (Note that there is a two-year gap between the two seasons in this category.)
  • Verdict: Inconclusive.  Honestly, Jacobsen, despite his promise, never got enough of a chance to prove himself in the NBA.  There was a different increase in shooting efficiency with D’Antoni around, but like Johnson and Stoudemire, Jacobsen was a very young player with a probability of improvement.

C Jake Voskuhl

  • Starting Age with D’Antoni: 26
  • Previous Two Seasons: WP48: .135, .109.  WS48: .143, .129.  True Shooting Percentage: 61.4%, 60.4%
  • Season with D’Antoni: WP48: .043.  WS48: .097.  True Shooting Percentage: 57.7%.  (Voskuhl also played for D’Antoni in 2004-05, but he only was on the court for 360 minutes.)
  • Two Seasons After D’Antoni: WP48: -.054, .002.  WS48: .061, .077.  True Shooting Percentage: 47.0%, 52.3%
  • Verdict: Moderate Possibility.  While Voskuhl did not get better when he was with D’Antoni, he certainly got worse after he left, and he left Phoenix when he was only 28.  However, his destination was the Bobcats, and at the time they were only in their second year of existence.

PG Leandro Barbosa

  • Starting Age with D’Antoni: 21
  • Was a rookie in 2003-04.
  • Seasons with D’Antoni: WP48: .053, .044, .082, .147 (as SG-PG .114), .081 (as SG-PG .048).  WS48: .061, .081, .115, .151, .109.  True Shooting Percentage: 55.3%, 57.5%, 58.9%, 59.5%, 57.5%.
  • Three Seasons After D’Antoni: WP48: .146, -.011 (as SG-PG -.044), .003 (as SG-PG -.030).  WS48: .141, .065, .053.  True Shooting Percentage: 58.8%, 52.6%, 53.9%.
  • Verdict: Moderate Possibility.  Barbosa certainly declined after D’Antoni left, but there was a year of interim in between the coach’s leaving and the Brazilian’s precipitous fall from grace.  The decline was caused by his major drop in scoring efficiency both inside and outside the arc, and while both have recovered, they have not done so at the same time.

PG Stephon Marbury

  • Starting Age with D’Antoni: 26
  • Previous Three Seasons: WP48: .120, .076, .098.  WS48: .077, .082, .134.  True Shooting Percentage: 51.9%, 50.5%, 51.9%
  • Season with D’Antoni: WP48: .104.  WS48: .120.  True Shooting Percentage: 51.5%.
  • Three Seasons After D’Antoni: WP48: .129, .184, .075.  WS48: .144, .171, .084.  True Shooting Percentage: 52.3%, 57.5%, 53.2%
  • Verdict: Definitely Not.  If anything, Marbury improved after escaping from Arizona.

SG Anfernee Hardaway

  • Starting Age with D’Antoni: 32
  • Previous Two Seasons: WP48: .094, .121.  WS48: .056, .062.  True Shooting Percentage: 47.2%, 49.9%.
  • Season with D’Antoni: WP48: .114.  WS48: .069.  True Shooting Percentage: 50.6%
  • Two Seasons After D’Antoni: WP48: .060, .017.  WS48: .029, .009.  True Shooting Percentage: 45.1%, 48.0%
  • Verdict: Definitely Not.  Any decline on Hardaway’s part stems from the fact that this guy was injury-prone and on the wrong side of thirty, and any improvement is negligible.

C Jahidi White

  • Starting Age with D’Antoni: 27
  • Previous Two Seasons: WP48: .094, .187.  WS48: .061, .118.  True Shooting Percentage: 53.5%, 55.2%.  (Note that White only played 230 minutes in 2002-03, which immediately preceded his encounter with D’Antoni.)
  • Season with D’Antoni: WP48: .055.  WS48: .067.  True Shooting Percentage: 53.4%.
  • White only played 135 more NBA minutes after leaving Phoenix.
  • Verdict: Inconclusive.  The fact that the amount of change was limited and we have no later data to look back at makes any definite answers somewhat fuzzy.

PG Howard Eisley

  • Starting Age with D’Antoni: 31
  • Previous Two Seasons: WP48: .131, .091.  WS48:  .097, .096.  True Shooting Percentage: 55.2%, 50.5%.
  • Season with D’Antoni: WP48: -.022.  WS48: .013.  True Shooting Percentage: 44.1%
  • Season After D’Antoni: WP48: -.023.  WS48: .000.  True Shooting Percentage: 47.0%.
  • Verdict: Definitely Not.  He declined if anything.

PF Zarko Cabarkapa

  • Starting Age with D’Antoni: 22
  • Was a rookie in 2003-04.
  • Season with D’Antoni: WP48: -.147.  WS48: -.037.  True Shooting Percentage: 46.1%.
  • Season After D’Antoni: WP48: -.081.  WS48:  .031.  True Shooting Percentage: 47.2%.  (Note that Cabarkapa only played 475 minutes in 2004-05, the year immediately following his with D’Antoni, but was actually very playable that year.  I will fudge the requirements and list his numbers: WP48: .074.  WS48: .124.  True Shooting Percentage: 57.8%.)
  • Verdict: Definitely Not.  I was sorely tempted to go with an “Inconclusive” here, but in the end his Phoenix numbers were so side-splittingly terrible that I just couldn’t do it.

PF Antonio McDyess

  • Starting Age with D’Antoni: 29
  • Previous Season: WP48: .144.  WS48: .146.  True Shooting Percentage: 53.8%.  (Note that because of some pretty substantial injuries and the Stephon Marbury trade, McDyess had not had a qualifying season since 2000-01.)
  • Season with D’Antoni: WP48: .097.  WS48: .060.  True Shooting Percentage: 49.4%.
  • Two Seasons After D’Antoni: WP48: .155, .110.  WS48: .154, .128.  True Shooting Percentage: 54.2%, 52.0%.
  • Verdict: Inconclusive.  McDyess’s injuries make it very difficult to do a “before” comparison, and his “after” numbers with the Pistons are somewhat better than his Suns ones.
  • 2004-05

SG Quentin Richardson

  • Starting Age with D’Antoni: 24
  • Previous Two Seasons: WP48: .066, .063.  WS48: .036, .050.  True Shooting Percentage: 46.0%, 48.4%.  (His numbers were considerably higher in the two seasons preceding that, however.)
  • Season with D’Antoni: WP48: .111.  WS48: .098.  True Shooting Percentage: 52.2%
  • Two Seasons After D’Antoni: WP48: .053, .142 (as SF-SG .170).  WS48: .023, .104.  True Shooting PErcentage: 45.2%, 53.2%.
  • Start of Second D’Antoni Stint: 28
  • Other Season Before D’Antoni: WP48: .043.  WS48: .008.  True Shooting Percentage: 44.4%.
  • Season with D’Antoni: WP48: .091.  WS48: .054.  True Shooting Percentage: 51.0%
  • Two Seasons After D’Antoni: WP48: .208, .105.  WS48: .133, .068.  True Shooting Percentage: 57.2%, 45.4%
  • Verdict: Slight Possibility.  Yes, Richardson did have good years in the two seasons with D’Antoni.  However, looking at Q’s data is like being on a rollercoaster with lots of ups and downs, some organic and some not; his career is just one big whirlwind.  It’s very hard for me to make any conclusions at all, but there are no extenuating technicalities that can blame this on, so I’m just going to say, “Maybe.”

C Steven Hunter

  • Starting Age with D’Antoni: 23
  • Previous Seasons: WP48: -.012, .045.  WS48: .094, .034.  True Shooting Percentage: 50.2%, 50.4%.  (Note that these seasons are not continuous, as Hunter only suited up for 447 minutes in 2002-03.)
  • Season with D’Antoni: WP48: .113.  WS48: .121.  True Shooting Percentage: 59.6%.
  • Seasons After D’Antoni: WP48: .086, .078.  WS48: .090, .085.  True Shooting Percentage: 59.8%, 57.3%.
  • Verdict: Moderate Possibility.  While Hunter certainly improved under Mike’s direction, a) he was in his age 23 season and b) his play did not revert to its original form upon his move to Philadelphia.  His improvement seems very natural to me.

SF Jim Jackson

  • Starting Age with D’Antoni: 34
  • Two Previous Seasons: WP48: .123, .076.  WS48: .102, .075.  True Shooting Percentage: 54.0%, 53.8%.
  • Season with D’Antoni: WP48: .073.  WS48: .079.  True Shooting Percentage: 56.8%
  • While Jackson played 512 minutes in the 2005-06 season, 92 of these were with the Los Angeles Lakers, leaving no data that meets the 500 minute cut-off.  This data does portray dramatic decline in both uniforms.
  • Verdict: Inconclusive.  The relative statistical stagnation and lack of later data renders this an unusable data point.
  • 2005-06

SG Raja Bell

  • Starting Age with D’Antoni: 29
  • Previous Three Seasons: WP48: .125, .019, .034.  WS48: .069, .088, .080.  True Shooting Percentage: 50.9%, 50.0%, 52.7%
  • Seasons with D’Antoni: WP48: .117, .083, .080.  WS48: .110, .095, .082.  True Shooting Percentage: 58.4%, 56.2%, 56.1%.
  • Seasons After D’Antoni: WP48: .085, .060, .059.  WS48: .074, .040, .069.  True Shooting Percentage: 54.8%, 52.8%, 58.6%.  (Note that Bell only played 180 minutes in the 2009-10 season.)
  • Verdict: High Possibility.  According to Wins Produced, Bell’s time in Phoenix really redeemed his career at a non-traditional age and his increase in True Shooting Percentage is fairly substantial, but his fairly stagnant Win Shares numbers are keeping this one from being definite.

PF Boris Diaw

  • Starting Age with D’Antoni: 23
  • Previous Seasons: WP48: .120 (as SF-PF .050), .050 (as SF-PF -.020).  WS48: .021, .005.  True Shooting Percentage: 48.3%, 47.9%.
  • Seasons with D’Antoni: WP48: .117 (as C-PF .157), .072, .023.  WS48: .149, .097, .063.  True Shooting Percentage: 56.4%, 57.0%, 51.6%, 56.5%.
  • Three Seasons After D’Antoni: WP48: .064, .084, .079.  WS48: .082, .103, .082.  True Shooting Percentage: 56.5%, 55.2%, 55.8%.
  • Verdict: Slight Possibility.  Diaw played very well in his first year according to Wins Produced, but taken in the context of his entire career sans Gregg Popovich, and it looks somewhat anomalous.  There was improvement, but it might have been just the age thing, and there certainly wasn’t any decline postmortem.

SF James Jones

  • Starting Age with D’Antoni: 25
  • Previous Season: WP48: .112.  WS48: .090.  True Shooting Percentage: 53.7%.
  • Seasons with D’Antoni: WP48: .099, .044.  WS48: .110, .077.  True Shooting Percentage: 55.1%, 51.0%.
  • Two Seasons After D’Antoni: WP48: .197, .065.  WS48: .139, .065.  True Shooting Percentage: 62.5%, 52.0%.
  • Verdict: Definitely Not.  That anomaly year in Portland was the only major change within earshot of his team with Mike D’Antoni, and it was a dramatic improvement.  No way, Jones-ay.

SG Eddie House

  • Starting Age with D’Antoni: 27
  • Previous Two Seasons: WP48: .038, .108.  WS48: .027, .097.  True Shooting Percentage: 43.6%, 52.5%.
  • Season with D’Antoni: WP48: -.006.  WS48: .054.  True Shooting Percentage: 51.2%
  • Two Seasons After D’Antoni: WP48: .080, .102 (as PG-SG .135).  WS48 .094, .127.  True Shooting Percentage: 53.6%, 53.4%.
  • Verdict: Definitely Not.  His shooting improved greatly just before his collaboration with D’Antoni, and his overall productivity increased before the door had a chance to hit him on the way out.

C Kurt Thomas

  • Starting Age with D’Antoni: 33
  • Previous Three Seasons: WP48: .031, .077 (as PF-C .037), .058.  WS48: .100, .094, .087.  True Shooting Percentage: 51.1%, 50.3%, 48.8%.
  • Seasons with D’Antoni: WP48: .064, .093.  WS48: .112, .115.  True Shooting Percentage: 52.7%, 53.1%.
  • Three Seasons After D’Antoni: WP48: .158, .168, .095.  WS48: .123, .152, .095.  True Shooting PErcentage: 51.4%, 53.0%, 48.9%
  • Verdict: Definitely Not.  He improved at a ripe age after leaving and any advances he made in Phoenix were definitely within an expected margin of error.  Next!

PF Tim Thomas

  • Starting Age with D’Antoni: 28
  • Previous Two Seasons: WP48: -.002, -.001 (as SF-PF -.071).  WS48: .093, .054.  True Shooting Percentage: 49.1%, 49.8%.
  • Season with D’Antoni: WP48: .042 (as SF-PF -.028).  WS48: .069.  True Shooting Percentage: 54.3%.
  • Two Seasons After D’Antoni: WP48: .024, .002.  WS48: .092, .042.  True Shooting Percentage: 53.2%, 50.5%.
  • Start of Second Stint with D’Antoni: 31
  • Season with D’Antoni: WP48: .054.  WS48: .091.  True Shooting Percentage: 60.0%.
  • Verdict: Definitely Not with the Suns and High Possibility with the Knicks.  There just isn’t any real change in Thomas’s abysmal statistics in his Phoenix tenure, but look at that True Shooting in NYC!   This guy is the epitome of everything I hate about late 90’s/early 2000’s star players.
  • 2006-07

PG Marcus Banks

  • Starting Age with D’Antoni: 26
  • Previous Two Seasons: Wp48: .075, .051.  WS48: .081, .074.  True Shooting Percentage: 52.0%, 54.3%.
  • Season with D’Antoni: WP48: -.091.  WS48: .037.  True Shooting Percentage: 49.7%.
  • Banks also played 310 minutes for Phoenix in 2007-08, but that season is invalidated because he neither qualifies as a Sun or a member of the Heat.  After that, Banks never played more than 244 minutes in a season ever again.
  • Verdict: Inconclusive.  Just like with Jahidi White, I have to call it “Inconclusive” becuase of the lack of “after” data, although I probablby would have categorized both as “Definitely Not’s” otherwise.
  • 2007-08

SF Grant Hill

  • Starting Age with D’Antoni: 35
  • Previous Two Seasons: WP48: .116, .128.  WS48: .130, .123.  True Shooting Percentage: 55.2%, 58.2%.
  • Season with D’Antoni: WP48: .152.  WS48: .127.  True Shooting Percentage: 57.6%, 58.4%.
  • Two Seasons After D’Antoni: WP48: .141, .145.  WS48: .104, .109.  True Shooting Percentage: 58.4%, 56.1%.
  • Verdict: Slight Possibility.  While maintaining one’s ability well into their mid-thirties is quite an achievement, Hill managed to do just fine after D’Antoni skipped town in favor of the bright lights of New York.  This was a surprisingly hard choice, though.

PF Brian Skinner

  • Starting Age with D’Antoni: 31
  • Previous Two Seasons: WP48: .076 (as C-PF .107), .071.  WS48: .057, .035.  True Shooting Percentage: 51.7%, 51.1%.
  • Season with D’Antoni: WP48: .087.  WS48: .069.  True Shooting Percentage: 48.5%.
  • Season After D’Antoni: WP48: .044.  WS48: .024.  True Shooting Percentage: 47.4%
  • Verdict: Definitely Not.  There was no improvement in Brian Skinner’s productivity, and the decline after leaving Seven Seconds or Less is definitely attriubtable to the fact that he was past thirty.  Besides, what drop-off did occur was not that drastic.

C Shaquille O’Neal

  • Starting Age with D’Antoni: 35
  • Previous Two Seasons: WP48: .069, .054.  WS48: .119, .059.  True Shooting Percentage: 56.7%, 57.7%
  • Season with D’Antoni: WP48: .126.  WS48: .100.  True Shooting Percentage: 60.5%
  • Two Seasons After D’Antoni: WP48: .148, .059.  WS48: .166, .119.  True Shooting Percentage: 62.3%, 56.5%.
  • Verdict: Slight Possibility.  Maybe I’m just getting tired of saying, “No, no, NO!” but I think there is actually some merit here.  While he continued to improve after D’Antoni left, Shaq played better in Phoenix than he had in Miami by a not-insignificant amount.  His rebounding numbers also soared after being traded, only to crash right back down to Earth when D’Antoni left.  His scoring did increase with the switch, but I don’t know.

New York Knicks

  • 2008-09

PG Chris Duhon

  • Starting Age with D’Antoni: 26
  • Previous Three Seasons: WP48: .169, .135, .106.  WS48: .116, .121, .075.  True Shooting Percentage: 53.8%, 52.9%, 50.8%.
  • Seasons with D’Antoni: WP48: .135, .100.  WS48: .069, .045.  True Shooting Percentage: 56.9%, 50.1%
  • Completed Seasons After D’Antoni: WP48: .021, .086.  WS48: .015, .051.  True Shooting Percentage: 44.6%, 55.8%.
  • Verdict: Slight Possibility.  While the point guard’s first year in Disneyworld looks like just one of those down years athletes often have, maybe it wasn’t.  It’s just not definite enough.

PF David Lee

  • Starting Age with D’Antoni: 25
  • Previous Seasons: WP48: .214, .338, .204.  WS48: .116, .191, .151.  True Shooting Percentage: 60.7%, 65.2%, 60.6%.
  • Seasons with D’Antoni: WP48: .183 (as C-PF .223), .169 (as C-PF .209).  WS48: .154, .163.  True Shooting Percentage: 59.0%, 58.4%
  • Completed Seasons After D’Antoni: WP48: .081 (as C-PF .121), .043 (as C-PF .083).  WS48: .110, .113.  True Shooting Percentage: 54.9%, 54.9%.
  • Verdict: Slight Possibility.  While Lee did not improve under D’Antoni, he most definitely get a heck of a lot worse when he left.  I don’t think D’Antoni had anything to do with keeping David efficient, but I can’t exactly rule it out, can I?

SF Wilson Chandler

  • Starting Age with D’Antoni: 21
  • Previous Season: WP48: .037.  WS48: .038.  True Shooting Percentage: 48.0%.
  • Seasons with D’Antoni: WP48: .043, .058, .099.  WS48: .054, .057, .094.  True Shooting Percentage: 51.5%, 53.4%, 54.8%
  • Completed Season After D’Antoni: WP48: .029.  WS48: .037.  True Shooting Percentage: 50.5%
  • Verdict: Slight Possibility.  I cannot completely ignore that decline coming off of a career season.

PF Al Harrington

  • Starting Age with D’Antoni: 28
  • Previous Three Seasons: WP48: -.035, .006, .026.  WS48: .065, .080, .118.  True Shooting Percentage: 51.3%, 54.0%, 54.7%.
  • Seasons with D’Antoni: WP48: -.014, -.020.  WS48: .080, .077.  True Shooting Percentage: 55.5%, 54.6%.
  • Completed Seasons After D’Antoni: WP48: -.041, -.015.  WS48: .060, .088.  True Shooting Percentage: 52.7%, 53.5%.
  • Verdict: Definitely Not.  I move into George Karl’s anti-doghouse has not changed this guy a bit.

PG Nate Robinson

  • Starting Age with D’Antoni: 24
  • Previous Seasons: WP48: -.012, .065, .044.  WS48: .046, .114, .082.  True Shooting Percentage: 51.2%, 55.2%, 52.6%.
  • Seasons with D’Antoni: WP48: .117, .064.  WS48: .128, .091.  True Shooting Percentage: 54.9%, 55.2%
  • Completed Seasons After D’Antoni: WP48: -.033, .078.  WS48: .051, .111.  True Shooting Percentage: 50.7%, 53.4%.
  • Verdict: Slight Possibility.  Maybe I’m just being more lenient with the Knicks, but I cannot ignore the fact that Robinson’s lean year came immediately after leaving D’Antoni’s system.

SF Jared Jeffries

  • Starting Age with D’Antoni: 27
  • Previous Three Seasons: WP48: .163, .141. .008 (as PF-SF .078).  WS48: .076, .043, .002.  True Shooting Percentage: 50.0%, 47.3%, 43.3%.
  • Seasons with D’Antoni: WP48: .041, .069.  WS48: .045, .057.  True Shooting Percentage: 47.3%, 52.4%.
  • Jeffries was traded to Houston but returned to New York before having a 500-minute season with any other team.
  • Start of Second D’Antoni Stint: 29
  • Season with D’Antoni: WP48: .124.  WS48: .109.  True Shooting Percentage: 48.4%.
  • Verdict: Slight Possibility.  While he may have made a comeback in Time No. 2, enough of his playtime came after the Italian-American’s firing that I cannot completely deny the possibility.

SG Larry Hughes

  • Starting Age with D’Antoni: 31
  • Previous Three Seasons: WP48: .057, .005 (as PG-SG .019), .072.  WS48: .073, .042, .088.  True Shooting Percentage: 48.0%, 46.8%, 52.5%.
  • Seasons with D’Antoni: WP48: .042, .048.  WS48: .049, .023.  True Shooting Percentage: 50.4%, 47.3%.
  • Hughes has only played 409 minutes since leaving D’Antoni’s Knicks.
  • Verdict: Inconclusive.  The lack of data after being coached by one of this European pioneer’s teams is frustrating.
  • 2009-10

PF Danilo Gallinari

  • Starting Age with D’Antoni: 20
  • While Gallinari played for the Knicks in his rookie season of 2008-09, he only appeared in 412 minutes.
  • Seasons with D’Antoni: WP48: .044, .105.  WS48: .098, .140.  True Shooting Percentage: 57.5%, 60.0%.
  • Completed Season After D’Antoni: WP48: .055.  WS48: .140.  True Shooting Percentage: 56.3%.
  • Verdict: Definitely Not.  I’m sorry, but that isolated drop in Wins Produced just isn’t enough.  Not after 3.5 hours of typing!

SG Toney Douglas

  • Starting Age with D’Antoni: 23
  • 2009-10 was Douglas’s rookie season.
  •  Seasons with D’Antoni: WP48: .116, .113, -.117.  WS48: .097, .101, -.046.  True Shooting Percentage: 57.1%, 53.4%, 39.3%.
  • Douglas played for the Knicks in 2011-12.
  • Verdict: Inconclusive.  If he hasn’t played in a season at least not partially coached by Dan the Man, how can I make a conclusion?

SF Bill Walker

  • Starting Age with D’Antoni: 22
  • Walker only played in 245 NBA minutes before joining the ballclub that resides in Madison Square Garden.
  • Seasons with D’Antoni: WP48: .137, .100, .030.  WS48: .123, .069, .067.  True Shooting Percentage: 65.1%, 58.3%, 52.6%.
  • As far as I can tell, Walker has not played professional basketball of any kind since being cut by the Knicks on April 24 of last year.
  • Verdict: Inconclusive.  Next verse, same as the first.  I wonder why Douglas and Walker’s shooting efficiency fell off a cliff during their three years in the Big Apple, though.

SF Tracy McGrady

  • Starting Age with D’Antoni: 30
  • Previous Two Seasons: .081, .125 (as SG-SF .097).  WS48: .115, .108.  True Shooting Percentage: 48,7%, 49.2%.
  • Season with D’Antoni: WP48: .058.  WS48: .016.  True Shooting Percentage: 46.9%
  • Seasons After D’Antoni: WP48: .153 (as SG-SF .125), .178 (as SG- .150).  WS48: .061, .094.  True Shooting Percentage: 50.3%, 51.0%.
  • Verdict: Definitely Not.  His time in New York was a valley with the twilight of his career in sight.  {Buzzer sounds}

PG Sergio Rodriguez

  • Starting Age with D’Antoni: 23
  • Previous Two Seasons: WP48: .086, .112.  WS48: .068, .074.  True Shooting Percentage: 49.1%, 53.8%.
  • Season with D’Antoni: WP48: .061.  WS48: .033.  True Shooting Percentage: 57.3%.
  • Rodriguez went back to Spain after completing his contract with the Knickerbockers.
  • Verdict: Inconclusive.  There just isn’t any “after” data.

2010-11

SG Landry Fields

  • Starting Age with D’Antoni: 22
  • Fields was a rookie in 2010-11.
  • Seasons with D’Antoni: WP48: .219, .170.  WS48: .100, .085.  True Shooting Percentage: 59.8%, 50.6%.
  • Fields played exclusively for the Knicks in the 2o11-12 season.
  • Verdict: Inconclusive.  No “after” data leaves me with nothin’ to say.

PG Raymond Felton

  • Starting Age with D’Antoni: 26
  • Previous Two Seasons: WP48: .065, .147.  WS48: .066, .118.  True Shooting Percentage: 48.3%, 52.5%.
  • Season with D’Antoni: WP48: .119.  WS48: .093.  True Shooting Percentage: 52.4%.
  • Completed Seasons After D’Antoni: WP48: .126, .045.  WS48: .097, .042.  True Shooting Percentage: 52.3%, 49.1%
  • Verdict: Definitely Not.  While last season his play declined, that was when he was very much out of shape after the lock-out and he had already proven with George Karl and in Charlotte before that that it wasn’t the system in NYC that was making him a good player.

  • Starting Age with D’Antoni: 24
  • Previous Seasons: WP48: .063 (SF-PF -.007), -.026.  WS48: .063, .069.  True Shooting Percentage: 53.3%, 52.2%.  (Note that these seasons were 2006-07 and 2007-08.)
  • Season with D’Antoni: WP48: .116.  WS48: .089.  True Shooting Percentage: 55.8%
  • Season After D’Antoni: WP48: -.141.  WS48: -.041.  True Shooting Percentage: 37.2%.
  • Verdict: Definitely.  And we finally have someone who most definitely fits the bill!  This one is sort of tongue-in-cheek, though, as Williams barely made the minutes cut-off and may have just been having an awfully strange and long-term slump.

  • Starting Age with D’Antoni: 28
  • Previous Two Seasons: WP48: .092, .113.  WS48: .101, .078.  True Shooting Percentage: 55.9%, 57.4%.
  • Season with D’Antoni: WP48: .128.  WS48: .134.  True Shooting Percentage: 64.8%.
  • Turiaf only played in 279 minutes in 2011-12.
  • Verdict: Inconclusive.  Once again, we have no “after” data.

SF Carmelo Anthony

  • Starting Age with D’Antoni: 26
  • Previous Three Seasons: WP48: .054, .093, .090.  WS48: .145, .138, .127.  True Shooting Percentage: 54.8%, 55.7%, 54.7%
  • Seasons with D’Antoni: WP48: .125, .104.  WS48: .157, .160.  True Shooting Percentage: 57.5%, 52.5%.
  • Unless you’re not an NBA fan or have been living under a rock for the last year or so, you know that Melo is still a Pant.
  • Verdict: Inconclusive.  Does anyone have a more creative way to mix up the lyrics to this melody?

  • Starting Age with D’Antoni: 34
  • Previous Two Seasons: WP48: .178, .175.  WS48: .182, .171.  True Shooting Percentage: 60.1%, 63.4%.
  • Season with D’Antoni: WP48: .116.  WS48: .155.  True Shooting Percentage: 58.2%.
  • Completed Season After D’Antoni: WP48: .045.  WS48: .135.  True Shooting Percentage: 55.4%
  • Verdict: Definitely Not.  Sure, this guy declined, but he’s in his mid-thirties!  Furthermore, his play took a big dip after he was thrust into D’Antoni’s arms anyway!

Considering that D’Antoni was fired in the middle of the 2011-12 season and that I’ve been working on this darn thing for over four hours at this point, I’m not going to cover that season.  So here are the percentages of the conclusive cases:

  • Suns
  • Definitely Not: 47.4% (9/19)
  • Slight Possibility: 26.3% (5/19)
  • Moderate Possibility: 21.1% (4/19)
  • High Possibility: 5.3% (1/19)
  • Definitely: 0% (0/19)

 

  • Knicks
  • Definitely Not: 35.7% (5/14)
  • Slight Possibility: 42.9% (6/14)
  • Moderate Possibility: 7.1% (1/14)
  • High Possibility: 7.1% (1/14)
  • Definitely: 7.1% (1/14)

 

  • Total
  • Definitely Not: 42.4% (14/33)
  • Slight Possibility: 33.3% (11/33)
  • Moderate Possibility: 15.1% (5/33)
  • High Possibility: 6.1% (2/33)
  • Definitely: 3.0% (1/33)

Maybe my study was a little biased.  I gave you the information I used; draw your own conclusions and tell me about it.  However, I don’t believe that there is sufficient evidence to suggest that Mike D’Antoni makes role players look better in his system, only for them to decline once they walk out the door.  In fact, there were many occasions when the exact opposite occurred at one end of the spectrum or the other.

I hope that you enjoyed this laborious work.  Thank you for reading.  If you skipped all of the mind-boggling numbers and just went to the end to see what I had to say, I do not blame you one bit.  Thank you for reading, please comment, and please come back.

P.S. For my very small following, I sincerely apologize for not having posted in about two weeks.  I have had ideas, just not the will to type them all up.  Expect more on the way, though!