April 29 Quotes for the Week

“Kites rise highest against the wind – not with it.”  Winston Churchill

“Research is what I’m doing when I don’t know what I’m doing.”  Wernher von Braun

“Be true to your work, your word, and your friend.”  Henry Thoreau

“Do what you can, with what you have, where you are.”  Theodore Roosevelt

“Winning is habit.  Unfortunately, so is losing.”  Vince Lombardi

“If you aren’t fired with enthusiasm, then you will be fired with enthusiasm.”  Vince Lombardi

“You can pretend to be serious; you can’t pretend to be witty.”  Sacha Guitry (Believe me, I’ve tried the latter.)

According to the Analytics…

Here, I am going to list All-Stars, All-NBA teams, All-Rookie Teams, MVP, Defensive Player of the Year, Sixth Man of the Year, and Rookie of the Year Awards according to both Win Shares and Wins Produced.  Players must have played 1,000 minutes to qualify except for rookie awards, which require 500.  Here they are:

Wins Produced

MVP: SF LeBron James, Miami

Rookie: PF Kenneth Faried, Denver

Sixth Man: SG James Harden, Oklahoma City

Defensive: Wins Produced does not keep individual defensive statistics.

All-NBA 1st Team:

PG Chris Paul, Clippers

SG James Harden, Oklahoma City

SF LeBron James, Miami

PF Kenneth Faried, Denver

C  Tyson Chandler, New York

All-NBA 2nd Team:

PG Steve Nash, Phoenix

SG Dwayne Wade, Miami

SF Kawhi Leonard, San Antonio

PF Serge Ibaka, Oklahoma City

C  Joakim Noah, Chicago

All-NBA 3rd Team:

PG Rajon Rondo, Boston

SG Brandon Rush, Golden St.

SF Andre Iguodala, Philadelphia

PF Ersan Ilyasova, Milwaukee

C   Marcus Camby, Portland-Houston

All-Rookie 1st Team:

PG Isaiah Thomas, Sacramento

SG Alec Burks, Utah

SF Kawhi Leonard, San Antonio

PF Kenneth Faried, Denver

C  Jordan Williams, New Jersey

All-Rookie 2nd Team:

PG Ricky Rubio, Minnesota

SG Iman Shumpert, New York

SF Jan Vesely, Washington

PF Gustavo Ayon, Boston

C  Greg Stiemsma, Boston

All-Stars

East

PG: Rajon Rondo (BOS), Jose Calderon (TOR)

SG: Dwayne Wade (MIA), Mike Dunleavy (MIL)

SF: LeBron James (MIA), Andre Iguodala (PHI), Marvin Williams (ATL)

PF: Ersan Ilyasova (MIL), Ryan Anderson (ORL)

C:  Tyson Chandler (NYK), Joakim Noah (CHI), Dwight Howard (ORL)

West

PG: Chris Paul (LAC), Steve Nash (PHX)

SG: James Harden (OKC), Brandon Rush (GSW)

SF: Kawhi Leonard (SAS), Kevin Durant (OKC)

PF: Kenneth Faried (DEN), Serge Ibaka (OKC), Nikola Pekovic (MIN), Kevin Love (MIN)

C:  Marcus Camby (POR-HOU), DeAndre Jordan (LAC)

Win Shares

MVP: SF LeBron James, Miami

Rookie: PF Kenneth Faried, Denver

Sixth Man: SG James Harden, Oklahoma City

Defensive: PF Josh Smith, Atlanta

All-NBA 1st Team:

PG Chris Paul, Clippers

SG James Harden, Oklahoma City

SF LeBron James, Miami

PF Kevin Love, Minnesota

C  Joakim Noah, Chicago

All-NBA 2nd Team:

PG Derrick Rose, Chicago

SG Dwayne Wade, Miami

SF Kevin Durant, Oklahoma City

PF Ryan Anderson, Orlando

C   Tyson Chandler, New York

All-NBA 3rd Team:

PG Tony Parker, San Antonio

SG Mike Dunleavy, Milwaukee

SF Kyle Korver, Chicago

PF Kenneth Faried, Denver

C  Tiago Splitter, San Antonio

All-Rookie 1st Team:

PG Kyrie Irving, Cleveland

SG Alec Burks, Utah

SF Kawhi Leonard, San Antonio

PF Kenneth Faried, Denver

C  Greg Stiemsma, Boston

All-NBA 2nd Team:

PG Isaiah Thomas, Sacramento

SG MarShon Brooks, New Jersey

SF Lavoy Allen, Philadelphia

PF Josh Harrellson, New York

C  Gustavo Ayon, New Orleans

All-Stars

East

PG: Derrick Rose (CHI), Lou Williams (PHI)

SG: Dwayne Wade (MIA), Mike Dunleavy (MIL)

SF: LeBron James (MIA), Kyle Korver (CHI)

PF: Ryan Anderson (ORL), Carlos Boozer (CHI), Ersan Ilyasova (MIL), Steve Novak (NYK)

C:  Joakim Noah (CHI), Tyson Chandler (NYK)

West

PG: Chris Paul (LAC), Russell Westbrook (OKC)

SG: James Harden (OKC), Kobe Bryant (LAL)

SF: Kevin Durant (OKC), Kawhi Leonard (SAS)

PF: Kevin Love (MIN), Kenneth Faried (DEN), Blake Griffin (LAC), Paul Millsap (UTA)

C:  Tiago Splitter (SAS), Andrew Bynum (LAL)

Introducing Composite Score Above Replacement and Composite Score Above Bench

For the end of the season, I have decided to unveil two new statistics: Composite Score Above Replacement and Composite Score Above Bench.  Composite Score Above Replacement shows how well a players plays compared to players who obtain little playing time (the eleventh and twelfth players on a team).  Composite Score Above Becnch shows how well a players plays above the weakest “starter”.  To find Replacement and Bench levels, I separated the 330 players who had played 500 minutes or more from the 147 who had not.  I then rounded the score of the 150th best player to the nearest hundredth to find the Bench Level and did the same for the 300th best player to find the Replacement Level.  This may not be the most scientific way, but it works.  The Bench Level is .100, which is the approximately the same as the league average, while Replacement Level is .010, just above the zero level.  The players’ team listing includes all those that he played for during the season, while his position is as listed on thenbageek.com, which is taken from a formula created by Andres Alvarez.  I have eliminated any adjustments for PERrate, so it is simply (PER^2)/225.  The list is sorted by Wins Above Replacement Level as determined by Composite Score.  (Revision: Jermaine O’Neal and Trey Thompkins’s stat lines have errors in the WS48 column.  This did skew the data.  FinalData holds the corrections.)

Unadjusted Composite Scores and PERrates
Name	Team	Position	Minutes	WP48	WS48	Composite	WAR	WAB	PER	PERrate	Difference
LeBron James	MIA	SF	2326	0.358	0.298	0.328	15.4	11.0	30.7	0.415	-0.087
Chris Paul	LAC	PG	2180	0.313	0.279	0.296	13.0	8.9	27.1	0.323	-0.027
Kevin Durant	OKC	SF	2546	0.226	0.230	0.228	11.6	6.8	26.2	0.302	-0.074
Tyson Chandler	NYK	C	2061	0.311	0.220	0.266	11.0	7.1	18.7	0.154	0.112
Joakim Noah	CHI	C	1945	0.281	0.223	0.252	9.8	6.2	19.6	0.169	0.083
James Harden	OKC	SG	1946	0.263	0.230	0.247	9.6	5.9	21.1	0.196	0.051
Kevin Love	MIN	PF	2145	0.226	0.223	0.225	9.6	5.6	25.3	0.282	-0.057
Andre Iguodala	PHI	SF	2209	0.255	0.158	0.207	9.0	4.9	17.6	0.136	0.070
Blake Griffin	LAC	PF	2392	0.186	0.185	0.186	8.7	4.3	23.4	0.241	-0.055
Ryan Anderson	ORL	PF	1964	0.228	0.219	0.224	8.7	5.1	21.2	0.198	0.026
Dwight Howard	ORL	C	2070	0.243	0.179	0.211	8.7	4.8	24.2	0.258	-0.047
Andrew Bynum	LAL	C	2112	0.208	0.183	0.196	8.2	4.2	22.9	0.231	-0.035
Steve Nash	PHX	PG	1961	0.260	0.144	0.202	7.8	4.2	20.3	0.181	0.021
Dwayne Wade	MIA	SG	1625	0.247	0.227	0.237	7.7	4.6	26.3	0.304	-0.067
Serge Ibaka	OKC	PF	1792	0.263	0.167	0.215	7.7	4.3	19.0	0.159	0.056
Marcin Gortat	PHX	C	2114	0.190	0.172	0.181	7.5	3.6	21.2	0.198	-0.017
Paul Millsap	UTA	PF	2099	0.184	0.179	0.182	7.5	3.6	21.8	0.209	-0.028
Pau Gasol	LAL	C	2430	0.143	0.165	0.154	7.3	2.7	20.5	0.185	-0.031
Greg Monroe	DET	C	2082	0.194	0.161	0.178	7.3	3.4	22.0	0.213	-0.035
Ersan Ilyasova	MIL	PF	1655	0.251	0.185	0.218	7.2	4.1	20.5	0.185	0.033
Ty Lawson	DEN	PG	2124	0.182	0.157	0.170	7.1	3.1	19.4	0.166	0.004
Kawhi Leonard	SAS	SF	1534	0.284	0.171	0.228	7.0	4.1	16.6	0.121	0.106
Marc Gasol	MEM	C	2370	0.132	0.166	0.149	6.9	2.4	18.4	0.149	0.000
DeAndre Jordan	LAC	C	1798	0.235	0.150	0.193	6.8	3.5	16.4	0.118	0.074
Mike Conley	MEM	PG	2174	0.171	0.141	0.156	6.6	2.5	16.8	0.124	0.032
Paul George	IND	SF	1958	0.193	0.148	0.171	6.5	2.9	16.5	0.120	0.051
Carlos Boozer	CHI	PF	1948	0.151	0.187	0.169	6.5	2.8	19.7	0.171	-0.002
Rajon Rondo	BOS	PG	1957	0.211	0.121	0.166	6.4	2.7	17.5	0.135	0.031
Kevin Garnett	BOS	PF	1864	0.168	0.178	0.173	6.3	2.8	20.4	0.183	-0.010
Paul Pierce	BOS	SF	2075	0.151	0.161	0.156	6.3	2.4	19.6	0.169	-0.013
Kris Humphries	NJN	PF	2159	0.180	0.118	0.149	6.3	2.2	18.0	0.143	0.006
Jose Calderon	TOR	PG	1799	0.208	0.136	0.172	6.1	2.7	16.7	0.123	0.049
Roy Hibbert	IND	C	1937	0.161	0.154	0.158	6.0	2.3	19.3	0.164	-0.006
Russell Westbrook	OKC	PG	2331	0.102	0.163	0.133	5.9	1.6	22.9	0.231	-0.098
Elton Brand	PHI	PF	1732	0.177	0.168	0.173	5.9	2.6	18.0	0.143	0.030
Tony Parker	SAS	PG	1923	0.134	0.177	0.156	5.8	2.2	22.0	0.213	-0.057
Gerald Wallace	POR-NJN	SF	2076	0.172	0.112	0.142	5.7	1.8	15.9	0.111	0.031
Josh Smith	ATL	PF	2329	0.116	0.139	0.128	5.7	1.3	21.1	0.196	-0.068
LaMarcus Aldridge	POR	PF	1994	0.125	0.169	0.147	5.7	2.0	22.7	0.227	-0.080
Jeff Teague	ATL	PG	2183	0.138	0.132	0.135	5.7	1.6	15.8	0.110	0.025
Jared Dudley	PHX	SF	2020	0.162	0.121	0.142	5.5	1.7	15.4	0.104	0.037
Al Jefferson	UTA	C	2075	0.103	0.173	0.138	5.5	1.6	22.8	0.229	-0.091
Rudy Gay	MEM	SF	2422	0.119	0.120	0.120	5.5	1.0	17.8	0.139	-0.020
Kenneth Faried	DEN	PF	1037	0.317	0.212	0.265	5.5	3.6	21.9	0.211	0.053
Joe Johnson	ATL	SF	2127	0.122	0.144	0.133	5.5	1.5	18.4	0.149	-0.016
Danny Granger	IND	SF	2062	0.113	0.155	0.134	5.3	1.5	18.6	0.152	-0.018
Marvin Williams	ATL	SF	1500	0.202	0.156	0.179	5.3	2.5	15.8	0.110	0.069
Brandon Rush	GSW	SG	1717	0.216	0.099	0.158	5.3	2.1	15.2	0.102	0.056
Chris Bosh	MIA	PF	2007	0.106	0.165	0.136	5.2	1.5	18.9	0.157	-0.022
Marcus Camby	POR-HOU	C	1352	0.265	0.127	0.196	5.2	2.7	16.2	0.115	0.081
Luol Deng	CHI	SF	2129	0.123	0.132	0.128	5.2	1.2	14.1	0.087	0.040
Thaddeus Young	PHI	PF	1755	0.133	0.171	0.152	5.2	1.9	18.9	0.157	-0.005
Nikola Pekovic	MIN	PF	1264	0.242	0.171	0.207	5.2	2.8	21.5	0.203	0.003
Gordon Hayward	UTA	SF	2015	0.149	0.116	0.133	5.1	1.4	15.5	0.106	0.027
Nicolas Batum	POR	SF	1791	0.168	0.127	0.148	5.1	1.8	17.3	0.132	0.016
Kyle Lowry	HOU	PG	1510	0.189	0.157	0.173	5.1	2.3	18.9	0.157	0.016
Ray Allen	BOS	SG	1565	0.187	0.145	0.166	5.1	2.2	14.8	0.096	0.070
Matt Barnes	LAL	SF	1440	0.217	0.142	0.180	5.1	2.4	15.5	0.106	0.074
Shawn Marion	DAL	SF	1919	0.182	0.092	0.137	5.1	1.5	15.0	0.099	0.038
David West	IND	PF	1925	0.125	0.147	0.136	5.1	1.4	17.8	0.139	-0.003
Tim Duncan	SAS	C	1634	0.141	0.174	0.158	5.0	2.0	22.5	0.223	-0.065
Goran Dragic	HOU	PG	1752	0.155	0.139	0.147	5.0	1.7	18.0	0.143	0.004
Kyle Korver	CHI	SF	1469	0.163	0.172	0.168	4.8	2.1	13.6	0.081	0.086
Ed Davis	TOR	PF	1534	0.200	0.121	0.161	4.8	1.9	14.2	0.089	0.072
Dirk Nowtizki	DAL	PF	2079	0.066	0.175	0.121	4.8	0.9	21.7	0.207	-0.087
Zaza Pachulia	ATL	C	1640	0.153	0.147	0.150	4.8	1.7	14.0	0.086	0.064
Carmelo Anthony	NYK	SF	1876	0.104	0.160	0.132	4.8	1.3	21.1	0.196	-0.064
J.J. Redick	ORL	SG	1765	0.136	0.142	0.139	4.7	1.4	15.1	0.100	0.039
Mike Dunleavy	MIL	SG	1445	0.188	0.146	0.167	4.7	2.0	16.6	0.121	0.046
Danny Green	SAS	SF	1522	0.176	0.142	0.159	4.7	1.9	15.5	0.106	0.053
Amir Johnson	TOR	PF	1553	0.188	0.122	0.155	4.7	1.8	14.4	0.091	0.064
Wesley Matthews	POR	SG	2228	0.118	0.104	0.111	4.7	0.5	14.1	0.087	0.024
Derrick Rose	CHI	PG	1375	0.135	0.211	0.173	4.7	2.1	23.0	0.233	-0.060
Ronnie Brewer	CHI	SG	1635	0.180	0.113	0.147	4.6	1.6	12.3	0.067	0.080
Landry Fields	NYK	SG	1894	0.170	0.085	0.128	4.6	1.1	12.0	0.063	0.064
Jason Thompson	SAC	PF	1657	0.173	0.114	0.144	4.6	1.5	16.4	0.118	0.025
Tony Allen	MEM	PG	1525	0.177	0.131	0.154	4.6	1.7	15.7	0.108	0.046
Arron Afflalo	DEN	SG	2086	0.109	0.121	0.115	4.6	0.7	14.7	0.095	0.020
Samuel Dalembert	HOU	C	1446	0.181	0.137	0.159	4.5	1.8	16.9	0.126	0.033
Louis Williams	PHI	PG	1682	0.102	0.174	0.138	4.5	1.3	20.2	0.180	-0.042
Manu Ginobli	SAS	SF	792	0.304	0.257	0.281	4.5	3.0	24.1	0.256	0.025
JaVale McGee	WAS-DEN	C	1537	0.169	0.127	0.148	4.4	1.5	19.8	0.172	-0.024
Brandon Jennings	MIL	PG	2331	0.085	0.114	0.100	4.3	0.0	18.4	0.149	-0.049
Taj Gibson	CHI	PF	1284	0.176	0.167	0.172	4.3	1.9	16.9	0.126	0.046
Isaiah Thomas	SAC	PG	1655	0.140	0.124	0.132	4.2	1.1	17.7	0.138	-0.006
Tiago Splitter	SAS	C	1121	0.183	0.197	0.190	4.2	2.1	20.5	0.185	0.005
Jason Kidd	DAL	PG	1379	0.207	0.104	0.156	4.2	1.6	13.1	0.076	0.080
Ramon Sessions	CLE-LAL	SG	1707	0.143	0.104	0.124	4.0	0.8	16.7	0.123	0.001
Dorell Wright	GSW	SF	1650	0.155	0.099	0.127	4.0	0.9	15.0	0.099	0.028
George Hill	IND	PG	1275	0.169	0.152	0.161	4.0	1.6	15.7	0.108	0.052
Brandan Wright	DAL	PF	791	0.285	0.214	0.250	3.9	2.5	21.6	0.205	0.044
Mario Chalmers	MIA	PG	1825	0.113	0.112	0.113	3.9	0.5	12.9	0.073	0.039
Darren Collison	IND	PG	1877	0.121	0.098	0.110	3.9	0.4	13.6	0.081	0.028
Jodie Meeks	PHI	SG	1644	0.126	0.120	0.123	3.9	0.8	11.5	0.058	0.065
John Wall	WAS	PG	2387	0.101	0.071	0.086	3.8	-0.7	17.7	0.138	-0.052
Devin Harris	UTA	PG	1741	0.110	0.115	0.113	3.7	0.5	16.0	0.113	0.000
Kobe Bryant	LAL	SG	2232	0.047	0.132	0.090	3.7	-0.5	21.9	0.211	-0.122
Kyrie Irving	CLE	PG	1558	0.119	0.125	0.122	3.6	0.7	21.4	0.202	-0.080
Jonas Jerebko	DET	SF	1468	0.149	0.108	0.129	3.6	0.9	14.2	0.089	0.040
Dante Cunningham	MEM	PF	1124	0.182	0.147	0.165	3.6	1.5	14.9	0.098	0.067
Shane Battier	MIA	SF	1499	0.147	0.104	0.126	3.6	0.8	9.7	0.041	0.084
Jason Terry	DAL	SG	2000	0.099	0.091	0.095	3.5	-0.2	15.7	0.108	-0.013
Chandler Parsons	HOU	F	1894	0.107	0.091	0.099	3.5	0.0	13.3	0.078	0.021
Jrue Holliday	PHI	PG	2196	0.079	0.092	0.086	3.5	-0.7	14.7	0.095	-0.010
Brandon Bass	BOS	PF	1868	0.075	0.122	0.099	3.4	-0.1	14.1	0.087	0.011
Udonis Haslem	MIA	PF	1589	0.122	0.106	0.114	3.4	0.5	10.9	0.052	0.062
Trevor Booker	WAS	PF	1262	0.166	0.113	0.140	3.4	1.0	15.4	0.104	0.035
Derrick Favors	UTA	PF	1376	0.151	0.105	0.128	3.4	0.8	17.1	0.129	-0.001
Omer Asik	CHI	C	971	0.225	0.129	0.177	3.4	1.6	13.4	0.079	0.098
Rodney Stuckey	DET	PG	1643	0.086	0.131	0.109	3.4	0.3	17.6	0.136	-0.028
Marcus Thornton	SAC	SG	1780	0.098	0.103	0.101	3.4	0.0	17.4	0.133	-0.033
Alonzo Gee	CLE	SG	1827	0.133	0.062	0.098	3.3	-0.1	13.1	0.076	0.022
Matt Bonner	SAS	PF	1326	0.118	0.143	0.131	3.3	0.8	13.2	0.077	0.054
Gustavo Ayon	NOH	C	1088	0.171	0.142	0.157	3.3	1.3	16.7	0.123	0.034
Joel Anthony	MIA	C	1349	0.133	0.122	0.128	3.3	0.8	10.3	0.047	0.081
Jarrett Jack	NOH	PG	1530	0.104	0.119	0.112	3.2	0.4	17.9	0.141	-0.029
Steve Novak	NYK	PF	1020	0.143	0.181	0.162	3.2	1.3	15.9	0.111	0.051
Derrick Brown	CHA	SF	1443	0.157	0.076	0.117	3.2	0.5	14.7	0.095	0.021
Nick Collison	OKC	C	1307	0.124	0.130	0.127	3.2	0.7	12.1	0.064	0.063
Kosta Koufos	DEN	C	792	0.231	0.163	0.197	3.1	1.6	17.3	0.132	0.065
Courtney Lee	HOU	SG	1757	0.100	0.086	0.093	3.0	-0.3	12.5	0.069	0.024
Chase Budinger	HOU	SF	1298	0.133	0.111	0.122	3.0	0.6	14.9	0.098	0.024
Anderson Varejao	C	C	785	0.257	0.132	0.195	3.0	1.5	18.9	0.157	0.037
DeJuan Blair	SAS	C	1363	0.090	0.142	0.116	3.0	0.5	17.6	0.136	-0.020
David Lee	GSW	C	2121	0.043	0.113	0.078	3.0	-1.0	19.7	0.171	-0.093
Andre Miller	DEN	PG	1809	0.096	0.078	0.087	2.9	-0.5	14.8	0.096	-0.009
Deron Williams	NJN	PG	1995	0.060	0.099	0.080	2.9	-0.9	20.3	0.181	-0.102
Evan Turner	PHI	SG	1713	0.111	0.068	0.090	2.8	-0.4	12.6	0.070	0.020
Brendan Haywood	DAL	C	1146	0.141	0.114	0.128	2.8	0.7	12.9	0.073	0.054
DeMarcus Cousins	SAC	C	1950	0.054	0.104	0.079	2.8	-0.9	21.7	0.207	-0.128
Greivis Vasquez	NOH	SG	1705	0.110	0.065	0.088	2.8	-0.4	14.2	0.089	-0.001
Tyreke Evans	SAC	SG	2162	0.083	0.059	0.071	2.7	-1.3	16.4	0.118	-0.047
Trevor Ariza	NOH	SF	1350	0.136	0.079	0.108	2.7	0.2	14.2	0.089	0.019
Vince Carter	DAL	SG	1542	0.098	0.090	0.094	2.7	-0.2	13.6	0.081	0.013
Luke Ridnour	MIN	PG	1750	0.078	0.090	0.084	2.7	-0.6	13.6	0.081	0.003
Richard Jefferson	SAS-GSW	SF	1748	0.083	0.085	0.084	2.7	-0.6	11.1	0.054	0.030
O.J. Mayo	MEM	SG	1771	0.072	0.094	0.083	2.7	-0.6	14.7	0.095	-0.012
Ian Mahinmi	DAL	C	1139	0.102	0.144	0.123	2.7	0.5	13.5	0.080	0.043
Dominic McGuire	GSW	SF	1127	0.186	0.062	0.124	2.7	0.6	11.8	0.061	0.063
Jameer Nelson	ORL	PG	1706	0.070	0.099	0.085	2.6	-0.6	14.6	0.094	-0.009
Ricky Rubio	MIN	PG	1404	0.131	0.070	0.101	2.6	0.0	14.6	0.094	0.007
Greg Stiemsma	BOS	C	766	0.181	0.170	0.176	2.6	1.2	13.6	0.081	0.094
Jason Richardson	ORL	SG	1591	0.095	0.084	0.090	2.6	-0.3	13.3	0.078	0.012
Spencer Hawes	PHI	C	920	0.139	0.152	0.146	2.6	0.9	18.1	0.144	0.001
Carlos Delfino	MIL	SF	1537	0.106	0.075	0.091	2.6	-0.3	11.7	0.060	0.030
Ben Wallace	DET	C	980	0.202	0.070	0.136	2.6	0.7	10.7	0.050	0.086
Channing Frye	PHX	PF	1669	0.058	0.106	0.082	2.5	-0.6	14.9	0.098	-0.016
Danilo Gallinari	DEN	PF	1351	0.055	0.140	0.098	2.5	-0.1	16.5	0.120	-0.022
Jeremy Lin	NYK	PG	940	0.131	0.140	0.136	2.5	0.7	19.9	0.174	-0.039
Shelden Williams	NJN	C	1276	0.126	0.078	0.102	2.4	0.1	11.9	0.062	0.040
Kevin Martin	HOU	SG	1264	0.077	0.125	0.101	2.4	0.0	16.5	0.120	-0.019
Thabo Sefolosha	OKC	SG	914	0.172	0.095	0.134	2.4	0.6	9.8	0.042	0.091
Tyler Hansbrough	IND	PF	1442	0.047	0.129	0.088	2.3	-0.4	14.7	0.095	-0.007
Stephen Curry	GSW	PG	732	0.183	0.144	0.164	2.3	1.0	21.2	0.198	-0.034
Delonte West	DAL	SG	1060	0.134	0.098	0.116	2.3	0.4	15.3	0.103	0.013
Luc Mbah a Moute	MIL	PF	1009	0.130	0.112	0.121	2.3	0.4	13.9	0.085	0.036
Randy Foye	LAC	SG	1682	0.061	0.092	0.077	2.3	-0.8	13.5	0.080	-0.004
Amare Stoudemire	NYK	C	1543	0.036	0.128	0.082	2.3	-0.6	17.7	0.138	-0.056
Kevin Seraphin	WAS	PF	1176	0.114	0.094	0.104	2.3	0.1	15.8	0.110	-0.006
Jan Vesely	WAS	F	1078	0.145	0.076	0.111	2.3	0.2	11.5	0.058	0.052
Tracy McGrady	ATL	SG	837	0.178	0.094	0.136	2.2	0.6	13.6	0.081	0.055
Nene	DEN-WAS	C	1110	0.093	0.117	0.105	2.2	0.1	18.6	0.152	-0.047
Carl Landry	NOH	PF	999	0.086	0.139	0.113	2.1	0.3	18.2	0.146	-0.033
Chris Andersen	DEN	C	486	0.255	0.183	0.219	2.1	1.2	18.9	0.157	0.062
J.R. Smith	NYK	SF	967	0.108	0.122	0.115	2.1	0.3	15.2	0.102	0.013
Drew Gooden	MIL	C	1469	0.042	0.116	0.079	2.1	-0.6	18.8	0.156	-0.077
Nate Robinson	GSW	PG	1192	0.078	0.111	0.095	2.1	-0.1	18.0	0.143	-0.048
Marco Belinelli	NOH	SG	1966	0.050	0.071	0.061	2.1	-1.6	11.9	0.062	-0.002
Zach Randolph	MEM	PF	735	0.152	0.135	0.144	2.0	0.7	17.9	0.141	0.003
Mike Miller	MIA	SG	752	0.167	0.113	0.140	2.0	0.6	11.4	0.057	0.083
Al-Farouq Aminu	NOH	SF	1477	0.108	0.044	0.076	2.0	-0.7	10.6	0.049	0.027
Reggie Evans	LAC	PF	771	0.192	0.079	0.136	2.0	0.6	9.2	0.037	0.098
Willie Green	ATL	SG	922	0.104	0.122	0.113	2.0	0.2	13.8	0.084	0.029
James Johnson	TOR	PF	1561	0.061	0.079	0.070	2.0	-1.0	14.5	0.093	-0.023
Corey Brewer	DEN	SG	1287	0.080	0.085	0.083	1.9	-0.5	13.7	0.083	0.000
Avery Bradley	BOS	PG	1368	0.070	0.085	0.078	1.9	-0.6	11.2	0.055	0.022
Gary Neal	SAS	SG	1206	0.069	0.101	0.085	1.9	-0.4	14.2	0.089	-0.004
Ivan Johnson	ATL	PF	934	0.100	0.113	0.107	1.9	0.1	14.3	0.090	0.017
Ekpe Udoh	GSW-MIL	PF	1290	0.079	0.077	0.078	1.8	-0.6	12.5	0.090	-0.012
Rodrigue Beaubois	DAL	PG	1151	0.078	0.092	0.085	1.8	-0.4	15.3	0.103	-0.018
Jordan Williams	NJN	F	635	0.189	0.101	0.145	1.8	0.6	14.5	0.093	0.052
Metta World Peace	LAL	F	1720	0.045	0.073	0.059	1.8	-1.5	11.0	0.053	0.006
Lavoy Allen	PHI	F	624	0.163	0.124	0.144	1.7	0.6	12.7	0.071	0.073
Iman Shumpert	NYK	PG	1705	0.049	0.068	0.059	1.7	-1.5	10.8	0.051	0.007
Enes Kanter	UTA	C	874	0.113	0.095	0.104	1.7	0.1	14.5	0.093	0.011
Martell Webster	MIN	SF	1140	0.097	0.064	0.081	1.7	-0.5	10.0	0.044	0.037
Jason Maxiell	DET	PF	1466	0.072	0.057	0.065	1.7	-1.1	11.7	0.060	0.004
Chris Singleton	WAS	SF	1431	0.079	0.052	0.066	1.7	-1.0	8.3	0.030	0.035
Tayshaun Prince	DET	SF	2087	0.047	0.049	0.048	1.7	-2.3	12.9	0.073	-0.025
Dahntay Jones	IND	SG	1052	0.078	0.090	0.084	1.6	-0.4	10.3	0.047	0.037
Jared Jeffries	NYK	PF	729	0.124	0.109	0.117	1.6	0.3	10.9	0.052	0.064
Jordan Hill	HOU-LAL	PF	551	0.180	0.118	0.149	1.6	0.6	15.8	0.110	0.039
Anthony Parker	CLE	SF	1280	0.087	0.052	0.070	1.6	-0.8	10.9	0.052	0.017
Quincy Pondexter	MEM	SF	1002	0.090	0.082	0.086	1.6	-0.3	9.4	0.039	0.047
Josh McRoberts	LAL	PF	718	0.137	0.095	0.116	1.6	0.2	10.9	0.052	0.064
James Jones	MIA	SG	666	0.128	0.120	0.124	1.6	0.3	9.7	0.041	0.083
Hedo Turkoglu	ORL	SF	1653	0.051	0.060	0.056	1.6	-1.5	11.7	0.060	-0.005
Nikola Vucevic	PHI	PF	812	0.096	0.109	0.103	1.6	0.0	14.3	0.090	0.013
Jerryd Bayless	TOR	PG	705	0.094	0.139	0.117	1.6	0.2	17.7	0.138	-0.021
Emeka Okafor	NOH	C	781	0.109	0.103	0.106	1.6	0.1	15.1	0.100	0.006
Aaron Gray	TOR	C	813	0.119	0.082	0.101	1.5	0.0	11.1	0.054	0.046
Chris Duhon	ORL	PG	1226	0.086	0.051	0.069	1.5	-0.8	8.4	0.031	0.037
Jordan Farmar	NJN	PG	831	0.088	0.104	0.096	1.5	-0.1	17.4	0.133	-0.037
Josh Childress	PHX	SG	491	0.219	0.092	0.156	1.5	0.6	11.1	0.054	0.101
Mo Williams	LAC	PG	1472	0.024	0.093	0.059	1.5	-1.3	15.0	0.099	-0.041
J.J. Hickson	SAC-POR	C	1244	0.067	0.066	0.067	1.5	-0.9	14.9	0.098	-0.031
Troy Murphy	LAL	PF	956	0.077	0.088	0.083	1.4	-0.3	9.0	0.036	0.047
Monta Ellis	GSW-MIL	SG	2120	0.026	0.059	0.043	1.4	-2.5	17.5	0.135	-0.092
Josh Harrellson	NYK	C	540	0.145	0.127	0.136	1.4	0.4	13.7	0.083	0.053
Quentin Richardson	ORL	SG	866	0.107	0.070	0.089	1.4	-0.2	8.7	0.033	0.055
C.J. Watson	CHI	PG	1159	0.027	0.109	0.068	1.4	-0.8	13.3	0.078	-0.010
Beno Udrih	MIL	PG	1080	0.083	0.061	0.072	1.4	-0.6	13.1	0.076	-0.004
Tristan Thompson	CLE	PF	1424	0.074	0.040	0.057	1.4	-1.3	13.4	0.079	-0.022
Marreese Speights	MEM	C	1345	0.023	0.096	0.060	1.4	-1.1	14.1	0.087	-0.028
Kendrick Perkins	OKC	C	1744	0.039	0.056	0.048	1.4	-1.9	8.7	0.033	0.014
Jason Smith	NOH	C	947	0.047	0.110	0.079	1.4	-0.4	16.6	0.121	-0.043
Vladimir Radmanovic	ATL	PF	755	0.087	0.104	0.096	1.3	-0.1	11.8	0.061	0.034
Daequan Cook	OKC	SG	989	0.072	0.078	0.075	1.3	-0.5	9.2	0.037	0.038
Raymond Felton	POR	PG	1906	0.045	0.042	0.044	1.3	-2.2	13.4	0.079	-0.036
Kirk Hinrich	ATL	PG	1237	0.054	0.069	0.062	1.3	-1.0	9.2	0.037	0.024
Shaun Livingston	MIL	PG	1092	0.080	0.055	0.068	1.3	-0.7	11.0	0.053	0.014
Robin Lopez	PHX	C	895	0.045	0.115	0.080	1.3	-0.4	15.2	0.102	-0.022
Jeremy Evans	UTA	SF	217	0.395	0.193	0.294	1.3	0.9	19.6	0.169	0.125
Bismack Biyombo	CHA	PF	1455	0.085	0.019	0.052	1.3	-1.5	10.6	0.049	0.003
Al Horford	ATL	C	348	0.187	0.180	0.184	1.3	0.6	19.0	0.159	0.025
Rudy Fernandez	DEN	SG	710	0.107	0.083	0.095	1.3	-0.1	13.3	0.078	0.017
James Singleton	WAS	PF	262	0.288	0.186	0.237	1.2	0.7	19.6	0.169	0.068
Andris Biedrins	GSW	C	739	0.095	0.085	0.090	1.2	-0.2	8.8	0.034	0.056
Omri Casspi	CLE	SF	1341	0.064	0.044	0.054	1.2	-1.3	11.2	0.055	-0.001
Derrick Williams	MIN	F	1418	0.044	0.059	0.052	1.2	-1.4	12.9	0.073	-0.022
John Lucas	CHI	PG	726	0.039	0.142	0.091	1.2	-0.1	16.3	0.117	-0.026
Grant Hill	PHX	SF	1378	0.047	0.055	0.051	1.2	-1.4	12.3	0.067	-0.016
Jamal Crawford	POR	SG	1613	0.021	0.069	0.045	1.2	-1.8	15.7	0.108	-0.063
Jon Leuer	MIL	PF	555	0.095	0.122	0.109	1.1	0.1	15.3	0.103	0.006
Earl Watson	UTA	PG	1032	0.106	0.018	0.062	1.1	-0.8	9.6	0.041	0.021
Chris Wilcox	BOS	C	481	0.111	0.132	0.122	1.1	0.2	12.4	0.068	0.054
Alec Burks	UTA	SG	939	0.057	0.076	0.067	1.1	-0.7	14.0	0.086	-0.020
Ben Gordon	DET	SG	1398	0.035	0.058	0.047	1.1	-1.6	13.5	0.080	-0.034
Shannon Brown	PHX	SG	1400	0.038	0.054	0.046	1.1	-1.6	13.6	0.081	-0.035
Jose Barea	MIN	SG	1032	0.061	0.056	0.059	1.0	-0.9	14.9	0.098	-0.039
Lance Thomas	NOH	F	629	0.089	0.090	0.090	1.0	-0.1	10.2	0.046	0.044
Sundiata Gaines	NJN	PG	793	0.085	0.059	0.072	1.0	-0.5	15.0	0.099	-0.027
Chauncey Billups	LAC	PG	607	0.045	0.135	0.090	1.0	-0.1	16.1	0.114	-0.024
Craig Smith	POR	PF	464	0.100	0.129	0.115	1.0	0.1	13.4	0.079	0.035
Anthony Morrow	NJN	SG	1636	0.028	0.051	0.040	1.0	-2.1	13.1	0.076	-0.036
Louis Amundson	IND	PF	753	0.083	0.062	0.073	1.0	-0.4	11.5	0.058	0.014
Jimmy Butler	CHI	F	359	0.136	0.144	0.140	1.0	0.3	12.5	0.069	0.071
Al Harrington	DEN	PF	1761	-0.015	0.088	0.037	1.0	-2.3	15.3	0.103	-0.066
Luis Scola	HOU	PF	2067	-0.015	0.080	0.033	1.0	-2.9	15.4	0.104	-0.072
Mickael Pietrus	BOS	SF	921	0.053	0.063	0.058	0.9	-0.8	8.5	0.032	0.026
Caron Butler	LAC	SF	1871	0.008	0.059	0.034	0.9	-2.6	11.7	0.060	-0.027
Linas Kleiza	TOR	SF	1057	0.036	0.066	0.051	0.9	-1.1	12.4	0.068	-0.017
Raja Bell	UTA	SG	796	0.059	0.069	0.064	0.9	-0.6	8.3	0.030	0.034
Gerald Green	NJN	SF	781	0.056	0.072	0.064	0.9	-0.6	15.8	0.110	-0.046
Gerald Henderson	CHA	SG	1831	0.040	0.026	0.033	0.9	-2.6	14.0	0.086	-0.053
Ronny Turiaf	WAS-MIA	C	277	0.182	0.138	0.160	0.9	0.3	12.4	0.068	0.092
Larry Sanders	MIL	PF	643	0.077	0.072	0.075	0.9	-0.3	13.3	0.078	-0.003
Jannero Pargo	ATL	PG	671	0.048	0.095	0.072	0.9	-0.4	13.6	0.081	-0.010
Anthony Randolph	MIN	PF	517	0.078	0.099	0.089	0.8	-0.1	17.6	0.136	-0.048
Nazr Mohammed	OKC	C	692	0.041	0.090	0.066	0.8	-0.5	11.0	0.053	0.012
Chris Wright	GSW	F	186	0.253	0.163	0.208	0.8	0.4	18.6	0.152	0.056
Patrick Mills	SAS	PG	261	0.129	0.161	0.145	0.7	0.2	21.5	0.203	-0.058
Roger Mason	WAS	SG	696	0.060	0.059	0.060	0.7	-0.6	12.2	0.065	-0.006
Timofey Mozgov	DEN	C	687	0.043	0.074	0.059	0.7	-0.6	13.2	0.077	-0.018
Tobias Harris	MIL	F	479	0.071	0.087	0.079	0.7	-0.2	14.2	0.089	-0.010
Luke Babbitt	POR	SF	537	0.076	0.067	0.072	0.7	-0.3	11.5	0.058	0.013
Steve Blake	LAL	PG	1237	0.034	0.039	0.037	0.7	-1.6	8.5	0.032	0.005
Francisco Garcia	SAC	SF	798	0.053	0.048	0.051	0.7	-0.8	10.7	0.050	0.000
Shelvin Mack	WAS	PG	778	0.061	0.042	0.052	0.7	-0.8	11.9	0.062	-0.011
Boris Diaw	CHA-SAS	PF	1424	0.046	0.019	0.033	0.7	-2.0	11.2	0.055	-0.023
Cole Aldrich	OKC	C	173	0.210	0.176	0.193	0.7	0.3	17.7	0.138	0.055
Kenyon Martin	LAC	PF	940	0.039	0.048	0.044	0.7	-1.1	9.9	0.043	0.000
Reggie Williams	CHA	SG	747	0.082	0.022	0.052	0.7	-0.7	12.4	0.068	-0.016
Cartier Martin	WAS	SF	391	0.090	0.090	0.090	0.7	-0.1	12.8	0.072	0.018
Leandro Barbosa	TOR-IND	SG	1382	0.005	0.060	0.033	0.6	-1.9	14.0	0.086	-0.054
Wayne Ellington	MIN	SG	973	0.042	0.041	0.042	0.6	-1.2	9.4	0.039	0.003
A.J. Price	IND	PG	568	0.063	0.063	0.063	0.6	-0.4	11.5	0.058	0.005
Mike Bibby	NYK	PG	557	0.066	0.061	0.064	0.6	-0.4	7.8	0.027	0.037
Hamed Haddadi	MEM	C	206	0.170	0.131	0.151	0.6	0.2	16.3	0.117	0.034
Kurt Thomas	POR	C	803	0.023	0.067	0.045	0.6	-0.9	9.5	0.040	0.005
Richard Hamilton	CHI	SG	697	0.008	0.092	0.050	0.6	-0.7	13.2	0.077	-0.027
Vernon Macklin	DET	PF	135	0.256	0.161	0.209	0.6	0.3	18.2	0.146	0.063
Brandon Knight	DET	G	2128	0.016	0.029	0.023	0.6	-3.4	11.7	0.060	-0.038
Ben Uzoh	CLE-TOR	SG	370	0.130	0.032	0.081	0.5	-0.1	10.9	0.052	0.029
D.J. Augustin	CHA	PG	1408	0.039	0.018	0.029	0.5	-2.1	14.1	0.087	-0.059
MarShon Brooks	NJN	SG	1648	0.029	0.022	0.026	0.5	-2.6	12.9	0.073	-0.048
Gary Forbes	TOR	SF	713	0.037	0.053	0.045	0.5	-0.8	13.3	0.078	-0.033
Eric Gordon	NOH	SG	310	0.065	0.115	0.090	0.5	-0.1	19.2	0.162	-0.072
Patrick Patterson	HOU	PF	1483	0.001	0.052	0.027	0.5	-2.3	11.5	0.058	-0.032
Julyan Stone	DEN	G	179	0.192	0.101	0.147	0.5	0.2	13.0	0.074	0.072
Daniel Orton	ORL	PF	187	0.152	0.129	0.141	0.5	0.2	12.7	0.071	0.070
Bill Walker	NYK	SF	620	0.030	0.067	0.049	0.5	-0.7	8.2	0.030	0.019
Andrea Bargnani	TOR	C	1032	-0.040	0.104	0.032	0.5	-1.5	17.9	0.141	-0.109
Sean Williams	DAL-BOS	C	107	0.223	0.199	0.211	0.4	0.2	18.7	0.154	0.057
DeMarre Carroll	DEN-UTA	SF	348	0.071	0.069	0.070	0.4	-0.2	11.1	0.054	0.016
Jerome Jordan	NYK	C	108	0.194	0.211	0.203	0.4	0.2	18.3	0.147	0.055
Jermaine O’Neal	BOS	C	570	0.046	,091	0.046	0.4	-0.6	9.4	0.039	0.007
Jeff Foster	IND	C	141	0.177	0.134	0.156	0.4	0.2	11.1	0.054	0.101
Donte Greene	SAC	SF	777	0.031	0.041	0.036	0.4	-1.0	11.8	0.061	-0.025
John Salmons	SAC	SG	1250	0.038	0.014	0.026	0.4	-1.9	9.0	0.036	-0.010
Renaldo Balkman	NYK	SF	115	0.207	0.142	0.175	0.4	0.2	14.3	0.090	0.085
Chuck Hayes	SAC	C	1039	0.028	0.028	0.028	0.4	-1.6	8.9	0.035	-0.007
Klay Thompson	GSW	SF	1608	-0.007	0.050	0.022	0.4	-2.6	14.9	0.098	-0.076
Terrence Williams	HOU-SAC	SF	550	0.058	0.029	0.044	0.4	-0.6	13.1	0.076	-0.032
Brian Cook	LAC-WAS	PF	276	0.161	-0.011	0.075	0.4	-0.1	5.8	0.015	0.060
Sasha Pavlovic	BOS	SF	527	0.044	0.039	0.042	0.3	-0.6	6.7	0.020	0.022
Derek Fisher	LAL-OKC	PG	1508	0.004	0.038	0.021	0.3	-2.5	8.9	0.035	-0.014
Josh Davis	MEM	PF	130	0.133	0.124	0.129	0.3	0.1	11.3	0.056	0.072
Hasheem Thabeet	HOU-POR	C	139	0.139	0.102	0.121	0.3	0.1	12.4	0.068	0.053
Manny Harris	CLE	SG	456	0.057	0.030	0.044	0.3	-0.5	11.7	0.060	-0.017
Ishmael Smith	GSW-ORL	PG	234	0.086	0.062	0.074	0.3	-0.1	14.1	0.087	-0.013
James Anderson	SAS	SG	603	0.029	0.040	0.035	0.3	-0.8	8.8	0.034	0.000
Daniel Gibson	CLE	PG	916	0.024	0.028	0.026	0.3	-1.4	9.2	0.037	-0.011
Jordan Hamilton	DEN	G/F	258	0.074	0.055	0.065	0.3	-0.2	13.9	0.085	-0.021
Antwan Jamison	CLE	PF	2151	-0.037	0.070	0.017	0.3	-3.7	16.1	0.114	-0.098
Wesley Johnson	MIN	SF	1469	0.018	0.021	0.020	0.3	-2.5	8.0	0.028	-0.009
Hassan Whiteside	SAC	C	109	0.198	0.073	0.136	0.3	0.1	16.2	0.115	0.020
Dominique Jones	DAL	SG	268	0.079	0.043	0.061	0.3	-0.2	11.8	0.061	0.000
Andrew Bogut	MIL	C	364	0.032	0.062	0.047	0.3	-0.4	14.9	0.098	-0.051
Solomon Alabi	TOR	C	122	0.157	0.083	0.120	0.3	0.1	14.2	0.089	0.031
Elliot Williams	POR	SG	149	0.095	0.105	0.100	0.3	0.0	18.8	0.156	-0.056
Brian Scalabrine	CHI	PF	122	0.122	0.103	0.113	0.3	0.0	13.2	0.077	0.036
Joel Pryzbilla	POR	C	449	0.040	0.034	0.037	0.3	-0.6	6.0	0.016	0.021
Stephen Jackson	MIL-SAS	SG	1212	0.015	0.025	0.020	0.3	-2.0	10.7	0.050	-0.030
Sebastian Telfair	PHX	PG	895	-0.011	0.058	0.024	0.3	-1.4	13.2	0.077	-0.053
D.J. White	CHA	PF	1098	0.007	0.034	0.021	0.2	-1.8	12.4	0.068	-0.047
Tony Battie	PHI	C	295	0.022	0.076	0.049	0.2	-0.3	7.3	0.023	0.026
Von Wafer	ORL	SG	469	0.025	0.042	0.034	0.2	-0.6	11.4	0.057	-0.024
Damien Wilkins	DET	SF	922	0.024	0.019	0.022	0.2	-1.5	6.9	0.021	0.001
Jeff Pendergraph	IND	PF	106	0.105	0.115	0.110	0.2	0.0	13.4	0.079	0.031
Gilbert Arenas	MEM	SG	211	0.032	0.088	0.060	0.2	-0.2	9.9	0.043	0.017
Greg Smith	HOU	C	69	0.159	0.165	0.162	0.2	0.1	12.3	0.067	0.095
Jerry Stackhouse	ATL	SG	272	0.035	0.060	0.048	0.2	-0.3	11.6	0.059	-0.012
Markieff Morris	PHX	PF	1227	-0.023	0.059	0.018	0.2	-2.1	12.1	0.064	-0.046
Eric Beldsoe	LAC	PG	463	0.040	0.022	0.031	0.2	-0.7	11.2	0.055	-0.024
Rashard Lewis	WAS	SF	729	0.028	0.018	0.023	0.2	-1.2	9.3	0.038	-0.015
Luke Harangody	CLE	PF	231	0.048	0.046	0.047	0.2	-0.3	10.4	0.048	-0.001
Charlie Villanueva	DET	PF	180	0.017	0.096	0.057	0.2	-0.2	16.2	0.115	-0.059
Bobby Simmons	LAC	SF	418	0.031	0.029	0.030	0.2	-0.6	6.0	0.016	0.014
Kyrylo Fesenko	IND	C	17	0.544	0.374	0.459	0.2	0.1	29.8	0.391	0.068
T.J. Ford	SAS	PG	191	0.043	0.053	0.048	0.2	-0.2	11.0	0.053	-0.005
Sam Young	MEM-PHI	SF	375	0.028	0.030	0.029	0.1	-0.6	9.7	0.041	-0.012
Solomon Jones	LAC-NOH	PF	292	0.026	0.042	0.034	0.1	-0.4	9.1	0.036	-0.002
Andre Emmett	NJN	SG	45	0.225	0.089	0.157	0.1	0.1	13.3	0.078	0.079
Jon Brockman	MIL	PF	239	0.051	0.023	0.037	0.1	-0.3	6.6	0.019	0.018
Xavier Henry	NOH	SG	759	0.022	0.015	0.019	0.1	-1.3	9.2	0.037	-0.019
Derrick Byars	SAS	F	37	0.221	0.147	0.184	0.1	0.1	14.9	0.098	0.086
Trey Johnson	NOH	SG	61	0.134	0.096	0.115	0.1	0.0	11.8	0.061	0.054
Samardo Samuels	CLE	PF	825	-0.005	0.039	0.017	0.1	-1.4	11.1	0.054	-0.037
Darryl Watkins	NOH	C	98	0.081	0.056	0.069	0.1	-0.1	10.8	0.051	0.017
Malcolm Lee	MIN	G	243	0.043	0.024	0.034	0.1	-0.3	9.3	0.038	-0.005
Michael Redd	PHX	SG	770	-0.019	0.052	0.017	0.1	-1.3	13.9	0.085	-0.069
Eric Dawson	SAS	F	39	0.153	0.106	0.130	0.1	0.0	14.6	0.094	0.036
Jeff Adrien	HOU	PF	63	0.061	0.106	0.084	0.1	0.0	11.2	0.055	0.028
Eduardo Najera	CHA	PF	270	0.019	0.035	0.027	0.1	-0.4	9.3	0.038	-0.011
Kwame Brown	GSW	C	187	0.037	0.031	0.034	0.1	-0.3	11.1	0.054	-0.020
DeMar DeRozan	TOR	SF	2206	-0.030	0.054	0.012	0.1	-4.0	12.8	0.072	-0.060
Erick Dampier	ATL	C	83	0.088	0.035	0.062	0.1	-0.1	5.5	0.013	0.048
Brad Miller	MIN	C	146	0.016	0.060	0.038	0.1	-0.2	10.7	0.050	-0.012
Travis Leslie	LAC	G/F	45	0.128	0.060	0.094	0.1	0.0	14.6	0.094	0.000
Maurice Evans	WAS	SG	343	0.001	0.041	0.021	0.1	-0.6	9.0	0.036	-0.015
Mike James	CHI	PG	120	-0.030	0.111	0.041	0.1	-0.1	13.7	0.083	-0.042
Keyon Dooling	BOS	PG	661	-0.011	0.042	0.016	0.1	-1.2	6.9	0.021	-0.005
Ronnie Price	PHX	SG	517	0.026	0.008	0.017	0.1	-0.9	8.4	0.031	-0.014
Anthony Tolliver	MIN	C	882	-0.021	0.049	0.014	0.1	-1.6	8.3	0.030	-0.016
Morris Almond	WAS	SG	67	0.090	0.032	0.061	0.1	-0.1	8.7	0.033	0.028
Armon Johnson	POR-NJN	PG	124	0.025	0.050	0.038	0.1	-0.2	12.9	0.073	-0.036
Tyler Honeycutt	SAC	SF	88	0.078	0.013	0.046	0.1	-0.1	10.4	0.048	-0.002
Dexter Pittman	MIA	C	301	-0.063	0.101	0.019	0.1	-0.5	10.4	0.048	-0.029
Ryan Reid	OKC	F	17	0.196	0.142	0.169	0.1	0.0	17.6	0.136	0.033
Charles Jenkins	GSW	PG	893	-0.002	0.028	0.013	0.1	-1.6	12.4	0.068	-0.055
Chris Johnson	POR-NOH	C	175	-0.012	0.059	0.024	0.0	-0.3	10.8	0.051	-0.028
Larry Owens	NJN	SF	75	0.047	0.035	0.041	0.0	-0.1	5.8	0.015	0.026
C..J. Miles	UTA	SF	1145	-0.039	0.063	0.012	0.0	-2.1	12.4	0.068	-0.056
DeAndre Liggins	ORL	G	115	0.056	0.000	0.028	0.0	-0.2	8.9	0.035	-0.007
Semih Erden	CLE	C	333	-0.025	0.057	0.016	0.0	-0.6	9.9	0.043	-0.027
Terrel Harris	MIA	SG	318	0.020	0.011	0.016	0.0	-0.6	6.7	0.020	-0.004
Anthony Carter	TOR	PG	209	0.034	0.001	0.018	0.0	-0.4	8.7	0.033	-0.016
E’Twaun Moore	BOS	G	331	-0.007	0.031	0.012	0.0	-0.6	8.8	0.034	-0.022
DaJuan Summers	NOH	SF	209	-0.024	0.049	0.013	0.0	-0.4	9.0	0.036	-0.023
Keith Benson	GSW	C	9	0.136	-0.005	0.066	0.0	0.0	6.0	0.016	0.050
Marquis Daniels	BOS	SF	484	0.013	0.008	0.011	0.0	-0.9	8.1	0.029	-0.018
Malcolm Thomas	SAS	F	15	0.058	-0.028	0.015	0.0	0.0	7.1	0.022	-0.007
Eric Maynor	OKC	PG	137	-0.016	0.037	0.011	0.0	-0.3	9.1	0.036	-0.026
Jamaal Tinsley	UTA	PG	507	0.014	0.006	0.010	0.0	-1.0	10.9	0.052	-0.042
Kemba Walker	CHA	PG	1792	0.011	0.009	0.010	0.0	-3.4	14.9	0.098	-0.088
Jerry Smith	NJN	G	46	0.024	-0.007	0.009	0.0	-0.1	7.8	0.027	-0.018
Dennis Horner	NJN	F	22	0.016	-0.012	0.002	0.0	0.0	6.6	0.019	-0.017
Jerome Dyson	NOH	G	180	-0.001	0.019	0.009	0.0	-0.3	10.7	0.050	-0.041
Brook Lopez	NJN	C	136	-0.077	0.091	0.007	0.0	-0.3	21.9	0.211	-0.204
Mickell Gladness	MIA-GSW	C	252	-0.013	0.029	0.008	0.0	-0.5	9.5	0.040	-0.032
Glen Davis	ORL	C	1427	-0.038	0.057	0.010	0.0	-2.7	13.2	0.077	-0.067
Francisco Elson	PHI	C	16	-0.062	-0.026	-0.044	0.0	0.0	6.3	0.017	-0.061
Baron Davis	NYK	PG	595	0.003	0.014	0.009	0.0	-1.1	10.0	0.044	-0.036
Edwin Ubiles	WAS	G	52	-0.013	-0.026	-0.020	0.0	-0.1	7.3	0.023	-0.043
Hamady N’Diaye	WAS	C	3	-0.692	-0.369	-0.531	0.0	0.0	-13.1	-0.076	-0.455
Earl Clark	ORL	PF	559	-0.013	0.027	0.007	0.0	-1.1	8.1	0.029	-0.022
Earl Boykins	HOU	PG	111	-0.040	0.029	-0.006	0.0	-0.2	10.3	0.047	-0.052
Devin Ebanks	LAL	PF	396	-0.022	0.033	0.006	0.0	-0.8	8.3	0.030	-0.025
Brian Skinner	MEM	PF	4	-0.669	-0.248	-0.459	0.0	0.0	-14.6	-0.094	-0.365
Earl Barron	GSW	C	9	-0.466	0.054	-0.206	0.0	-0.1	4.7	0.010	-0.216
Carldell Johnson	NOH	G	119	-0.015	-0.003	-0.009	0.0	-0.3	8.9	0.035	-0.044
DeSagana Diop	CHA	C	325	0.030	-0.025	0.003	-0.1	-0.7	6.8	0.020	-0.018
Courtney Fortson	LAC-HOU	G	95	-0.015	-0.019	-0.017	-0.1	-0.2	9.9	0.043	-0.060
Keith Bogans	NJN	SG	94	-0.030	-0.005	-0.018	-0.1	-0.2	4.8	0.010	-0.028
Dan Gadzuric	NYK	C	13	-0.232	-0.169	-0.201	-0.1	-0.1	-4.3	-0.008	-0.192
Ike Diogu	SAS	PF	14	-0.303	-0.116	-0.210	-0.1	-0.1	-2.9	-0.004	-0.206
D.J. Kennedy	CLE	F	59	-0.062	-0.023	-0.043	-0.1	-0.2	4.7	0.010	-0.052
Alan Anderson	TOR	G/F	461	-0.026	0.032	0.003	-0.1	-0.9	8.7	0.033	-0.030
Damion James	NJN	SF	173	0.017	-0.043	-0.013	-0.1	-0.4	6.0	0.016	-0.029
Hakim Warrick	PHX	PF	503	-0.047	0.050	0.002	-0.1	-1.0	13.1	0.076	-0.074
Jonny Flynn	HOU-POR	PG	416	-0.015	0.012	-0.002	-0.1	-0.9	11.2	0.055	-0.057
Royal Ivey	OKC	PG	354	-0.034	0.025	-0.005	-0.1	-0.8	4.7	0.010	-0.014
Mikki Moore	GSW	C	118	-0.098	0.022	-0.038	-0.1	-0.3	6.3	0.017	-0.055
Jeff Foote	NOH	C	39	-0.213	-0.079	-0.146	-0.1	-0.2	-0.9	0.000	-0.146
Michael Beasley	MIN	SF	1087	-0.014	0.022	0.004	-0.1	-2.2	13.0	0.074	-0.070
Jason Kapono	LAL	SF	269	-0.050	0.021	-0.015	-0.1	-0.6	4.5	0.009	-0.023
Lester Hudson	CLE-MEM	SG	334	-0.032	0.012	-0.010	-0.1	-0.8	13.9	0.085	-0.095
Christian Eyenga	CLE-LAL	SF	102	-0.052	-0.061	-0.057	-0.1	-0.3	4.8	0.010	-0.067
Kelenna Azuibuike	DAL	SG	18	-0.457	-0.325	-0.391	-0.2	-0.2	-3.4	-0.005	-0.386
JaJuan Johnson	BOS	F/C	298	-0.066	0.032	-0.017	-0.2	-0.7	11.4	0.057	-0.074
Johan Petro	NJN	C	924	-0.032	0.034	0.001	-0.2	-1.9	10.2	0.046	-0.045
Cory Joseph	SAS	PG	266	-0.047	0.001	-0.023	-0.2	-0.7	6.9	0.021	-0.044
Xavier Silas	PHI	G	39	-0.302	-0.131	-0.217	-0.2	-0.3	0.1	0.000	-0.217
Justin Dentmon	SAS-TOR	G	91	-0.132	-0.049	-0.091	-0.2	-0.4	4.8	0.010	-0.101
Jamario Moon	CHA	SF	123	-0.029	-0.100	-0.065	-0.2	-0.4	3.4	0.005	-0.070
Lance Stephenson	IND	SG	442	0.008	-0.031	-0.012	-0.2	-1.0	7.0	0.022	-0.033
Reggie Jackson	OKC	PG	501	-0.029	0.011	-0.009	-0.2	-1.1	9.2	0.037	-0.046
Josh Howard	UTA	SF	991	-0.025	0.025	0.000	-0.2	-2.1	10.5	0.049	-0.049
Andres Nocioni	PHI	SF	56	-0.207	-0.139	-0.173	-0.2	-0.3	1.8	0.001	-0.174
Wilson Chandler	DEN	SF	215	-0.055	-0.021	-0.038	-0.2	-0.6	9.0	0.036	-0.074
Jason Collins	ATL	C	308	-0.073	0.025	-0.024	-0.2	-0.8	3.7	0.006	-0.030
Darington Hobson	MIL	G	39	-0.337	-0.225	-0.281	-0.2	-0.3	-3.3	-0.005	-0.276
Mychel Thompson	CLE	G	95	-0.140	-0.079	-0.110	-0.2	-0.4	2.2	0.002	-0.112
Yi Jianlian	DAL	PF	203	-0.091	-0.003	-0.047	-0.2	-0.6	10.4	0.048	-0.095
Craig Brackins	PHI	PF	88	-0.202	-0.065	-0.134	-0.3	-0.4	4.3	0.008	-0.142
Lazar Hayward	OKC	SG	141	-0.121	-0.040	-0.081	-0.3	-0.5	3.1	0.004	-0.085
Darius Morris	LAL	G	169	-0.090	-0.045	-0.068	-0.3	-0.6	5.2	0.012	-0.079
Ryan Gomes	LAC	SF	425	-0.022	-0.021	-0.022	-0.3	-1.1	4.4	0.009	-0.030
Blake Ahearn	UTA	PG	30	-0.603	-0.315	-0.459	-0.3	-0.3	-7.3	-0.023	-0.436
Corey Maggette	CHA	SF	881	-0.051	0.038	-0.007	-0.3	-2.0	14.1	0.087	-0.094
Eddy Curry	MIA	C	83	-0.294	-0.046	-0.170	-0.3	-0.5	3.6	0.006	-0.176
Jordan Crawford	WAS	SG	1753	-0.027	0.029	0.001	-0.3	-3.6	14.5	0.093	-0.092
Rasual Butler	TOR	SG	453	-0.030	-0.022	-0.026	-0.3	-1.2	4.8	0.010	-0.036
Ryan Hollins	CLE-BOS	C	522	-0.066	0.023	-0.022	-0.3	-1.3	6.9	0.021	-0.042
Jamaal Magloire	TOR	C	374	-0.049	-0.021	-0.035	-0.4	-1.1	2.7	0.003	-0.038
Travis Outlaw	SAC	SF	500	-0.041	-0.008	-0.025	-0.4	-1.3	9.6	0.041	-0.065
Trey Thompkins	LAC	PF	119	-0.140	.-004	-0.140	-0.4	-0.6	12.0	0.063	-0.203
Justin Harper	ORL	PF	84	-0.272	-0.145	-0.209	-0.4	-0.5	1.7	0.001	-0.210
DeShawn Stevenson	NJN	SF	960	-0.006	-0.014	-0.010	-0.4	-2.2	4.3	0.008	-0.018
Brian Cardinal	DAL	PF	277	-0.123	0.004	-0.060	-0.4	-0.9	3.3	0.005	-0.064
Donald Sloan	ATL-NOH-CLE	G	669	-0.014	-0.024	-0.019	-0.4	-1.7	8.9	0.035	-0.054
Luke Walton	LAL-CLE	SF	364	-0.040	-0.050	-0.045	-0.4	-1.1	3.4	0.005	-0.050
Darko Milicic	MIN	C	472	-0.071	0.003	-0.034	-0.4	-1.3	9.0	0.036	-0.070
Walker Russell	DET	G	367	-0.047	-0.051	-0.049	-0.5	-1.1	7.1	0.022	-0.071
Juwan Howard	MIA	PF	190	-0.135	-0.076	-0.106	-0.5	-0.8	3.6	0.006	-0.111
Nick Young	WAS-LAC	SF	1729	-0.060	0.053	-0.004	-0.5	-3.7	12.9	0.073	-0.077
Marcus Morris	HOU	PF	126	-0.300	-0.083	-0.192	-0.5	-0.8	3.8	0.006	-0.198
Larry Hughes	ORL	SG	114	-0.261	-0.193	-0.227	-0.6	-0.8	-4.8	-0.010	-0.217
Chris Kaman	NOH	C	1372	-0.044	0.024	-0.010	-0.6	-3.1	15.3	0.103	-0.113
Mehmet Okur	NJN	C	453	-0.103	-0.004	-0.054	-0.6	-1.4	8.4	0.031	-0.085
Andrew Goudelock	LAL	PG	419	-0.130	0.011	-0.060	-0.6	-1.4	8.4	0.031	-0.091
Nolan Smith	POR	PG	541	-0.088	-0.029	-0.059	-0.8	-1.8	7.8	0.027	-0.085
Will Bynum	DET	PG	514	-0.103	-0.023	-0.063	-0.8	-1.7	9.9	0.043	-0.106
Josh Selby	MEM	PG	237	-0.192	-0.105	-0.149	-0.8	-1.2	3.3	0.005	-0.153
Matt Carroll	CHA	SG	596	-0.056	-0.051	-0.054	-0.8	-1.9	5.6	0.014	-0.067
Jimmer Fredette	SAC	PG	1135	-0.065	0.012	-0.027	-0.9	-3.0	10.8	0.051	-0.078
Andray Blatche	WAS	C	626	-0.106	-0.011	-0.059	-0.9	-2.1	10.6	0.049	-0.108
Lamar Odom	DAL	PF	1027	-0.080	0.016	-0.032	-0.9	-2.8	9.3	0.038	-0.070
Jeremy Tyler	GSW	C	568	-0.123	-0.014	-0.069	-0.9	-2.0	10.4	0.048	-0.116
Shawne Williams	NJN	PF	516	-0.141	-0.041	-0.091	-1.1	-2.1	4.9	0.011	-0.102
Toney Douglas	NYK	SG	656	-0.117	-0.046	-0.082	-1.3	-2.5	7.1	0.022	-0.104
Jeremy Pargo	MEM	PG	424	-0.190	-0.085	-0.138	-1.3	-2.1	4.5	0.009	-0.146
Byron Mullens	CHA	C	1465	-0.084	0.007	-0.039	-1.5	-4.2	13.0	0.074	-0.113
Tyrus Thomas	CHA	PF	1013	-0.097	-0.029	-0.063	-1.5	-3.4	9.0	0.036	-0.099
Austin Daye	DET	PF	603	-0.176	-0.050	-0.113	-1.5	-2.7	7.1	0.022	-0.135
Norris Cole	MIA	PG	1260	-0.108	0.000	-0.054	-1.7	-4.0	7.9	0.027	-0.081
Cory Higgins	CHA	G	423	-0.258	-0.150	-0.204	-1.9	-2.7	4.1	0.007	-0.211

I Digress- My NFL Mock Draft

I was trying really hard to not get involved in the NFL Draft.  It almost worked.  In the end, it didn’t quite happen.  Finally, I surrendered and did a mock draft using ESPN.com’s NFL Draft Machine.  I used Peter King’s mock draft in the latest issue of Sports Illustrated and about.com’s NFL Draft Needs page (after pick ten) as guides.  It probably has no basis in fact (my mock drafts never do), but here goes nothing.

1. Indianapolis QB Andrew Luck Stanford
2. Washington (from St. Louis) QB Robert Griffin III Baylor
3.  Cleveland (from Minnesota) RB Trent Richardson Alabama
4. Tampa Bay T Matt Kalil USC
5. Minnesota (from Cleveland) CB Morris Claiborne LSU
6. St. Louis (from Washington) WR Justin Blackmon Oklahoma St.
7. Jacksonville DT Fletcher Cox Mississippi St.
8. Miami QB Ryan Tannehill Texas A&M
9. Carolina DT Michael Brockers LSU
10. Buffalo T Riley Reiff Iowa
11. Kansas City LB Luke Kuechly Boston College
12. Seattle S Mark Barron Alabama
13. Arizona G David DeCastro Stanford
14. Dallas DE Melvin Ingram South Carolina
15. Philadelphia CB Stephon Gilmore South Carolina
16. New York Jets DE Quinton Coples North Carolina
17. Cincinnati (from Oakland) DE Courtney Upshaw Alabama
18. San Diego DE Chandler Jones Syracuse
19. Chicago DT Dontari Poe Memphis
20. Tennessee LB Shea McClellin Boise St.
21. Cincinnati WR Michael Floyd Notre Dame
22. Cleveland (from Atlanta) T Jonathan Martin Stanford
23. Detroit CB Dre Kirkpatrick Alabama
24. Pittsburgh LB Dont’a Hightower Alabama
25. Denver DE Whitney Mercilus Illinois
26. Houston DT Jerel Worthy Michigan St.
27. New England (from New Orleans) G Kevin Zeitler Wisconsin
28. Green Bay RB Doug Martin Boise St.
29. Baltimore C Peter Konz Wisconsin
30. San Francisco DT Devon Still Penn St.
31. New England DE Nick Perry USC
32. New York Giants T Cordy Glenn Georgia

I probably have Floyd, Poe, Jones, and Gilmore too low, with McClellin, Martin, Zeitler, and Cox too high.  In the draft I submitted to ESPN, I had Claiborne and Kalil switched, but I did it this way when I realized that would not happen on any planet.  Enjoy, and come back soon!

Note. (5/17) This post was initially published approximately half an hour after the draft started.  However, I was unaware of any picks at the time either that this post or my ESPN Mock Draft were submitted.

Why I’m Not Covering the NFL Draft

This year, I have been trying not to become involved with the NFL Draft.  There are a couple of reasons why I have been trying to do this.

For one, I have been trying to disassociate myself from football in all forms because of its extreme violence.  The rampant concussions, retiree suicides, hip replacements, and other maladies directly related to former players’ careers are enough to turn me off to football.  I have not always been successful, and in all probability I will watch this year’s Super Bowl, but it has been a nice deterrent to wasting my Sundays.  Of course, I never really did that in the first place….

The other, bigger reason that I am trying to not become involved is the unpredictability of each individual selection.  Whenever draft gurus like Mel Kiper and Todd McShay talk about prospects, they mention watching the guy’s game tape, or how good a quarterback’s arm is, how good at a wide receiver is at route running, or his Combine performance.  Honestly, they sound like the old baseball men in Moneyball!  Remember “The Good Face”?  Although it’s not quite that ridiculous, it seems pretty close if you step away and try to look from an unbiased point of view.  Believe me, it’s hard; I’ve gotten suckered in myself a couple of times!  No hint of quantitative statistical analysis is to be find in their discussions.

Besides, it doesn’t even work!  In 2001, seventeen future Pro Bowlers were drafted in the first round, including Michael Vick and LaDanian Tomlinson.  After that, twenty Pro Bowlers remained on the board, including three undrafted rookies (Rob Bironas, Antonio Pierce, and Shayne Graham)!  Mind you, two of the undrafteds were kickers, but Drew Brees, Kris Jenkins, Matt Light, Steve Smith, and T.J. Housmanzadeh were still there too.  In 2006, twenty-one of thirty-six future Pro Bowlers were not first-rounders.  Five of them went undrafted, including the one and only Miles Austin from Monmouth.  Meanwhile, Matt Leinart and John McCargo were first-rounders!  See what I mean when I say that NFL draft scouting has unpredictable results?

That’s why I am trying to disenfranchise myself from the NFL Draft.  The emphasis should be placed on “try” though; as we speak, I have the latest issue of Sports Illustrated opened to Peter King’s mock draft.  However, I invite you all to join me in not watching this spectacle Thursday through Saturday.  It may not be a waste of time for the NFL and ESPN, but I’m sure the Radio City Music Hall could have found a nice Broadway show to present on a Thursday night instead of the first round.

Go Kings!

I feel psyched!  For the first time in eleven years, the Los Angeles Kings hockey teams has won a play-off series.  For the third time in four years, the President’s Cup winner has fallen in the first round to an eight seed after the Vancouver Canucks were defeated by my beloved Kings in five games.  (The President’s Cup is awarded to the team that accumulates the most points during the season.  Teams are rewarded two points for a win and one for an overtime or shootout loss.)  For the first time all season, I got around to watching my favorite team play hockey, and it was amazing.

We came back from a 1-0 deficit when Brad Richardson scored a garbage goal early in the third period, avenging a wonderful piece of teamwork created by the Sedin twins late in the first.  Throughtout the game, my nerves were tense as both teams traded short periods of dominance.  Regulation provided no winner, and I was worried.  I had a sinking feeling that if we lost that game, we drop the next two to the Canucks and blow our first 3-0 series lead in years.  Needless to say, we did not fail.  Approximately five minutes into the overtime, after both teams had let loose a barrage of shots on the opposing, seemingly indomitable goaltenders, Jarret Stoll let loose a beautiful slap shot on the break over Vancouver goalie Cory Schneider’s shoulder.  When you looked at it, you could tell that Kings fans were somewhat lucky.  For one, Schneider had turned in response to the shot, causing him to dip his shoulder.  If he had not turned, the puck could possibly have slammed into him in that general area, and who knows what would have happened then?  Furthermore, the pick hit the crossbar on the inside, directing it into the net.  Had that puck been much higher, there would have been no goal.

But when that goal scored, I was ecstatic.  I ran around and pumped my fist.  I then proceeded to vault over my sister.  Thank goodness I jumped with my legs open; otherwise, my hundred-forty pound body would have slammed straight into her face.  Not a pretty picture.  However, for that period, luck was with me; my team had won, and I did not mutilate my sister in a moment of stupidity.  Hurrah!  May we beat the Preds in the next round, too.

P.S. The Ottawa Senators are one game away from toppling the No. 1 seed in the east, the New York Rangers.  It would be amazing if both teams were knocked out in the first round.  Of course, that’s the magic of the Stanley Cup Play-offs for you!

April 22 Quotes for the Week

“Don’t cry because it’s over; smile because it happened.”  Dr. Seuss

“So many books, so little time.”  Frank Zappa

“To be yourself in a world that is constantly trying to make something else is the greatest accomplishment.”  Ralph Waldo Emerson

“If you don’t stand for something, you will fall for anything.”  Malcolm X

“There are only two ways to live your life.  One is as though nothing is a miracle.  The other is as though everything is a miracle.”  Albert Einstein

“Whenever you find yourself on the side of the majority, it is time to pause and reflect.”  Mark Twain

“The man who does not read has no advantage over the man who cannot read.”  Mark Twain (I need to remember this whenever I am in a reading funk.)

Background on Phillip Humber

I have heard that Phillip Humber became the third White Sox pitcher to ever throw perfect game in a nine-strikeout outing against the Mariners.  This is amazing, and we should all congratulate Humber on his historic performance.  Even posting nine strikeouts in a game is really good.  Something that I find really interesting about this is the fact that Humbe had never before thrown a complete game, let alone a no-hitter.  The twenty-nine year-old has made major league appearances every year since 2006 with the Mets, Twins, Royals, and White Sox, but last year was his first extended stay in the show.  In the previous years, he had thrown a grand total of 51 1/3 innings.  The hurler, who hails from the same city in Texas as soccer star Clint Dempsey, went 9-9 last year with a 1.18 WHIP and a 3.75 ERA.  His Win Probability Added was equal to 1.4 wins, while he posted a WAR of 3.3.  This casts him as a solid but not spectacular starter.  He wears the number 41, but he has worn three others in the big leagues.  He was drafted third overall by the Mets in 2004 out of Rice University in Houston.   In last year’s version of Out of the Park, I had used him on my largely unsuccessful Mariners squad.  (Go figure.)  I wrote this article to help us all get a glimpse into the career of perfect game hurler Phillip Humber.

A Revision of PERrate

Today at lunch, I briefly thought about how to refine my rescaling of PER, which I call PERrate.  I had noticed when doing my assessment of the Spurs yesterday that the PERrate scores tended to be clustered around the league average.  This led to the understanding that I needed to create an exponential function that would convert PER onto the same scale as Wins Produced, Win Shares, and (by extension) Composite Score.  My first attempt was a straight exponential function, where I divided PER squared by 15 squared, or 225.  However, when I tested this using Wilt Chamberlain’s 31.84 PER season in 1963, I got the utterly ridiculous answer of .446.  After that, I player around with dividing the actual PER level by a small number before dividing by 225.  Even though I knew this would skew the league average downward, I find it unreasonable to believe that anyone has thought that any player is 4.5 times better than the league average, save maybe George Mikan.  I started with 1.15, then 1.20, and I finished at 1.25.  I decided to use 1.15 as my modifier.  The final formula is: PERrate=(PER^2/1.15)/225.  Chamberlain’s record-setting season has a score of .385, while the league average of 15 is .087.  This is not meant to fix PER or make it more palatable; on the contrary, I believe it should be used to determine how highly is rated compared to how highly he should be rated.  Of course, this is tentative, and I might try to come up with something better.  Until then, I think this is a good way to measure both perception and perception relative to ability.

P.S.  In the end, this would change the judgments I made about the Spurs yesterday if I wished to redo them.  I will not at this time, in part because it would eliminate some of the more interesting phenomena, but I will use it in any future evaluations.  It would strengthen my “Trade Tony Parker” argument considerably, though….

Revisions: (April 20, 2012) Originally, I had my modifier set to 1.2.  However, after publishing this post, I was looking on the Wages of Wins Journal and seeing some old Wins Produced numbers which I only can access when reading certain articles.  The fact that a .400 WP48 was not in the realm of fantasy led to adjusting my modifier downward.  In the future, I may adjust the modifier depending on league size, but I am not sure if I will do this in the foreseeable future.

My Assessment of the San Antonio Spurs

Lately, I have been considering become a Spurs front office intern when the time comes that I am ready to apply for such internships.  I would choose the Lakers, being the better of the local teams, except for the fact that I’m not sure if Jim Buss would be open to analytical ideas.  I’m afraid that he will be (when he officially owns the team) a very hands-on owner like Mark Cuban or George Steinbrenner.  However, the Spurs are a team that my dad has admired ever since the beginning of their dynasty for their class, and that I have admired for their ability to remain relevant.  The Spurs are a very interesting in that the majority of the team is either underrated to some degree, or have been a superstar for a long time (that is Duncan, Parker, and Ginobli).  In the case of Ginobli, it’s been both.  I have also noticed that it’s been a couple days since my last post, so the combination of these three factors leads to me wanting to evaluate the Spurs.  (Please note that over the course of this post I will be using Wins Produced that has not been adjusted for defense, as I do not have the resources to do the adjustments and Arturo Galletti does not consistently update this statistic.)

To make decisions on how overrated/underrated each player was, I converted PER to the same scale as Composite Score using the formula PERrate=(PER/15)*.099.  Admittedly, this still fails to completely show PER on the same scale as Composite Score since the best season of all time would only record a PERrate of .210, and that using an exponential function would be better, but I think that this is sufficient for my purposes.  I determined the exact proportions by subtracting PERrate from Composite Score.  Right off the bat, I noticed something peculiar: San Antonio has fourteen active players, seven of which are underrated, seven of which are overrated.  Okay, fair enough.  However, San Antonio’s seven best players according to Composite Score are overrated, while its seven weakest players are underrated.  The same (concerning ability) is true for both of the statistics used to calculate Composite Score-Win Shares and Wins Produced, both prorated over 48 minutes.  Admittedly, sometimes the difference is rather close (Tim Duncan is only overrated by .003 wins per 48), but it still exists.  I’m not going to try to explain this, but I think it’s very interesting.  San Antonio’s players, listed by Composite Score, can be found at spursassessment.  (I wish I knew how to stick a table in the middle of my post without learning HTML, but I don’t, so we’re stuck with the Excel links.  Sorry.)

At this point, it is no longer possible to trade players with expiring contracts, eliminating Duncan, Green, Mills, Anderson, and Diaw from any discussion.  However, those by no means make up the entire roster.  However, their only overrated players of value are Stephen Jackson and (maybe) James Anderson.  I am of the belief that, until the analytics movement gains more steam, all times who do use advanced while acquiring more than their net worth.  Unfortunately for the Spurs, the only possibilities of this are Stephen Jackson and Gary Neal.  Jackson has an expiring contract and a reputation, making him a great “deadweight” player.  Unfortunately, Neal is not greatly overrated, and he makes something the minimum salary.  However, Neal is peaking, and people forget how old he is because he hasn’t been in the league very long.  Cory Joseph, although seemingly highly overrated, has a bloated PERrate because you can get a PER of 3.5 for breathing according to some blogpost I read the other day (I think it was Bill Simmons or something).  Joseph’s PER is 7.6.

However, even though he technically isn’t overrated according to PERrate, I think Tony Parker is a prime trade candidate, provided that they acquire a younger and/or secretly better point in the immediate aftermath.  Here’s my reasoning:

For one, Tony Parker will turn thirty next year.  This is the time when players start to “fall off the cliff”.  Any year now, Parker may lose spontaneously lose half of his life.  Second of all, he already (sort of, kind of) fell off the cliff; two years ago, he posted a Composite Score of .075.  Although he has returned to his previous form over the past two years, it might be a warning sign for future decline.  (I haven’t studied falling off the cliff personally or read anything players who resurrect their careers, but I would I imagine it would lead to a future decline.)  Third of all, he probably is overrated, considering that PERrate is clustered too closely to the center.  Of course, barring any other transactions, the Spurs’ best option at point guard next year would be (drumroll, please) Gary Neal!  However, I’m sure the Spurs could swing something; they are the Spurs, after all.

Then there is the question of Tim Duncan.  Duncan has declined considerably, according to both conventional wisdom and anayltical measurements.  He is old, as far as basketball players are concerned.  However, it is still clear that he remains a serviceable center.  On the other hand, Tiago Splitter is a considerably younger center of slightly higher value.  Then, you also have the ever-so-slightly overrated DeJuan Blair.  And there’s the loyalty factor.  In the end, I think that the Spurs should resign Duncan, albeit at a greatly reduced rate.  He would then start the season as the starting center, while Blair acts as the team’s seventh or eighth man and Splitter start at the 4.  If Duncan’s skill continues to slip, Blair would go to the 4, Splitter to the 5, and Duncan to the bench.  Ultimately, I believe that he wants to finish his career in San Antonio, and that somehow the two sides would work something out.

Here’s my verdict:  The Spurs are a very solid, very deep, and somewhat underrated team.  They should shop Stephen Jackson, Cory Joseph, and Gary Neal for young value.  (It’s unlikely they’ll get much for Joseph.)  They should also try to trade Tony Parker, ensuring that they pick up a point guard, an albatross contract (or two), and lots of draft picks along the way.  They should prepare for the possibility that some of their older players will fall off the cliff, and they should resign Danny Green and Patty Mills to the cheapest contracts possible.  (I’ve always been a fan of Mills since he whitewashed Oregon in one of his first collegiate games.  Then again, I’ll become a fan of almost any player who has a good run.  Regardless, a back-up point guard does not necessarily have to be a world beater.)  Keep doing what you’re doing, San Antone!

P.S. This is my fortieth post.  I have deleted a couple along the way, but of them are still available.  Check out my archives!

P.P.S. If you have anything to saw about this post, please comment!  I want constructive criticism (although if you bash me, I will delete your bashings).