Note: Wins Produced has now been officially adjusted to take diminishing returns for defensive rebounds into account.
The topic of the week seems to be rebounding, and in particular whether or not Wins Produced overrates them. In fact, that seems to be the primary criticism of the metric. Skeptics suggest that a player should not get all the credit for his rebounds for a number of reasons: the defense that caused the missed shot should be accounted for, and the players who played the defense should accordingly get credit; it is usually the case where many players could have got the rebound, but deferred to the player that actually got it; and Wins Produced accounts for diminishing returns in scoring, but does not account for them in rebounding. I’m not saying I buy into any of these points of view; in fact, there have been a lot of compelling points by Dave Berri and Arturo that dispute them (see Here, Here, and Here), and I have trouble giving players credit for something another player actually did. At the same time, I’m intrigued to see what the results would look like if we distributed rebounding numbers in Wins Produced. So here’s what I’ve been doing: I credited each player 20% of his defensive rebounds and 80% of his offensive rebounds, then redistributed the 80% of the defensive rebounds and 20% of offensive rebounds to all teammates by minutes played. Then I recalculated the Adjusted P48 by position and recalculated the WP48 and Wins Produced. Now these numbers aren’t perfect because I have only looked at 12 teams so far. But, I’ll post more numbers when I get them. So here are some of the findings:
The top 5 players according to Wins Produced this season:
| Player | WP48 | Wins Produced | Adjusted WP48 | Adjusted Wins |
|---|---|---|---|---|
| Love | 0.474 | 25.8 | 0.284 | 15.4 |
| Howard | 0.382 | 23.4 | 0.288 | 17.6 |
| James | 0.356 | 22.7 | 0.322 | 20.5 |
| Paul | 0.358 | 21.4 | 0.326 | 19.5 |
| Wade | 0.322 | 18.9 | 0.247 | 14.5 |
As far as I can tell, the top 5 consists of the same players, albeit in a different order, with the exception of Gasol bumping Wade out. Also, it looks like LeBron is the king in this method in terms of total Wins Produced for the season, while CP3 takes the WP48 crown.
Some other players of interest:
| Player | WP48 | Wins Produced | Adjusted WP48 | Adjusted Wins |
|---|---|---|---|---|
| Bryant | 0.200 | 11.6 | 0.162 | 9.4 |
| Rose | 0.197 | 12.4 | 0.196 | 12.4 |
| Durant | 0.216 | 13.7 | 0.189 | 12.0 |
| Nowitzki | 0.195 | 10.2 | 0.170 | 8.9 |
| Gasol | 0.258 | 16.3 | 0.258 | 16.3 |
| Humphries | 0.344 | 14.8 | 0.179 | 7.7 |
| Camby | 0.310 | 9.9 | 0.170 | 5.5 |
| Aldridge | 0.123 | 8.3 | 0.150 | 10.0 |
| Milicic | -0.096 | -3.4 | -0.023 | -0.8 |
General Observations
Almost uniformly the players at the top of each team saw a drop in Wins Produced. Perhaps unexpectedly, below average rebounders did not usually see a rise in their production. Because the position averages were readjusted, players like Kobe Bryant and Derrick Rose did not benefit at all. Instead, the players in middle of each team in terms of Wins Produced were the ones who benefited. However, rather than seeing steep increases in their production, many players from each team increased very slightly.
The NBA Draft is coming up, and experts are projecting it to be a big year for drafting foreign players. In fact, 4-5 foreign players are projected to go in the lottery. But, doesn’t it seem like foreigners are usually flops? Think Darko Milicic or Andrea Bargnani. On the other hand, players like Pau Gasol and Dirk Nowitzki, though they are rare, have been perennial stars in the league. Still, it seems like there is more risk in drafting a foreign player than a college player. This observation can be at least somewhat contributed to the difference in foreign style of play and the lack of familiarity of scouts with the foreign leagues compared to American college basketball, which is largely due to the fact that there are a number of different leagues across the world form which NBA teams choose players. So I thought I’d raise the question: is it worth it to take a foreign player in the lottery? The following is a table showing the success of foreign players (who didn’t play at an American college) drafted in the lottery in the last 10 years:
| Year | Player | Drafted | Career Minutes | Career Wins Produced | Career WP48 |
|---|---|---|---|---|---|
| 2001 | Pau Gasol | 3 | 26258 | 118.4 | 0.217 |
| 2001 | Vladimir Radmanovic | 12 | 15265 | 1.1 | 0.003 |
| 2002 | Yao Ming | 1 | 15815 | 73.2 | 0.222 |
| 2002 | Nikoloz Tskitishvili | 5 | 1945 | -6.8 | -0.167 |
| 2002 | Nene Hilario | 7 | 15621 | 46.1 | 0.142 |
| 2003 | Darko Milicic | 2 | 8161 | -1.4 | -0.008 |
| 2003 | Mikael Pietrus | 11 | 10645 | 7.4 | 0.033 |
| 2004 | Andris Biedrins | 11 | 9863 | 47.3 | 0.230 |
| 2005 | Fran Vazquez | 11 | 0 | 0.0 | 0.000 |
| 2005 | Yaroslav Korolev | 12 | 169 | -0.5 | -0.137 |
| 2006 | Andrea Bargnani | 1 | 11095 | -15.0 | -0.065 |
| 2006 | Mouhamed Sene | 10 | 260 | -0.1 | -0.011 |
| 2007 | Yi Jianlian | 6 | 5835 | -3.5 | -0.029 |
| 2008 | Danilo Gallinari | 6 | 5263 | 5.5 | 0.050 |
| Averages | 9014 | 19.4 | 0.103 |
Though this is a relatively small sample size, what immediately jumps out is the lack of players around the average mark. While together the data comes out right about average, only two players, Nene and Gallinari, come within .050 of the mark of an average player, which is 0.100. Perhaps more alarming is the number of foreign lottery picks who have actually cost their teams wins over the years. 6 out of the 14 foreign lottery picks in the last 10 years, which is about 43%, have produced in the negative range. But is this out of the ordinary? Consider the averages of all lottery picks from 2001 to 2005. These players have on average produced at a rate of 0.131 Wins Produced per 48 minutes over their collective careers. And only about 16% of those players have produced in the negative range. About half of the lottery picks over the five year period have been above average for their careers, while only one third of the foreign lottery picks have. But is the possibility of the reward worth the risk? About 20% of the foreign players have produced at star level (0.200) over their careers, while 16% of all the lottery picks have hit this mark. So it doesn’t seem like it is worth it to pick a foreign player high without a great deal of confidence in the pick. The probability of drafting a flop is just too high.
It should be noted that these numbers are not entirely conclusive. The sample size of foreign players picked in the lottery is very small. Perhaps more importantly, every player is unique. It might be unfair to lump all foreign players into a category together because each is a different player. Still, the results are interesting. To cap this post off, here are the Win Scores of the foreign players in DraftExpress’s top 100 prospects for the 2011 draft (7.1 is average):
| DX Rank | Player | Age | Position | Height | Weight | Team | PAWS40 |
|---|---|---|---|---|---|---|---|
| 4 | Jonas Valanciunas | 19 | C | 6’11″ | 240 | Lietuvos Rytus | 12.6 |
| 6 | Jan Vesely | 21 | SF/PF | 6’11″ | 240 | KK Partizan Belgrade | 8.2 |
| 7 | Bismack Biyombo | 18 | PF/C | 6’9″ | 240 | Baloncesto Fuenlabrada | 8.8 |
| 8 | Enes Kanter | 19 | C | 6’11″ | 260 | Kentucky | 1.4 |
| 9 | Donatas Motiejunas | 20 | PF/C | 7’0″ | 215 | Benetton Treviso | 6.6 |
| 18 | Nikola Mirotic | 20 | PF | 6’10″ | 210 | Real Madrid | 9.5 |
| 22 | Lucas Nogueria | 18 | C | 7’0″ | 225 | MMT Estudiantes | N/A |
| 28 | Davis Bertans | 18 | SF | 6’10″ | 210 | Union Olimpiga Ljubljana | 7.2 |
| 33 | Bojan Bogdanovic | 22 | SG/SF | 6’7″ | 216 | Cibona VIP Zagreb | 5.9 |
| 51 | Jeremy Tyler | 19 | PF/C | 6’11″ | 260 | Tokyo Apache | 7.8 |
| 59 | Michael Dunigan | 21 | C | 6’10″ | 240 | BC Kalev/Cramo Tallinn | 7.2 |
| 62 | Xavi Rabaseda | 22 | SG/SF | 6’7″ | 205 | Baloncesto Fuenlabrada | 4.2 |
| 63 | Giorgi Shermadini | 22 | C | 7’1″ | 248 | Union Olimpiga Ljubljana | 8.3 |
| 67 | Jamine Peterson | 22 | SF/PF | 6’6″ | 230 | New Mexico Thunderbirds | 7.3 |
| 69 | Joffrey Lauvergne | 19 | SF/PF | 6’10″ | 220 | ES Chalon-Sur-Saone | 6.5 |
| 70 | Leon Radosevic | 21 | PF/C | 6’10″ | 210 | Cibona VIP Zagreb | 6.8 |
| 71 | Furkan Aldemir | 19 | PF | 6’9″ | 220 | Pinar Karsiyaka | 10 |
| 79 | Milan Macvan | 21 | PF | 6’9″ | 265 | KK Hemofarm | 10.8 |
| 80 | Nihad Djedovic | 21 | SG/SF | 6’6″ | 195 | Lottomatica Roma | 7.8 |
| 81 | Antonie Diot | 22 | PG | 6’4″ | 188 | Le Mans Sarthe Basket | 8.2 |
It looks like whoever takes Enes Kanter, who is projected to go top 5 in a lot of mock drafts, will be very disappointed. Oh, and Ricky Rubio, who it looks like will finally make his debut for the Timberwolves after being drafted a few years ago, posted a Win Score in 2010-11 of about 7.7.
Beware of these numbers because many of these players played in different leagues against different competition.
-James
With Dirk, Kidd, and LeBron all going to the finals, the question begs: who is the best active player to never win an NBA title? Of course, “best” is hard to define. So, why don’t we look at it like this: which active players that haven’t won a title have had the most productive careers; in other words, who has produced the most wins throughout their careers and never won it?
| Rank | Player | Career Wins Produced |
|---|---|---|
| 1 | Jason Kidd | 291.8 |
| 2 | Shawn Marion | 185.3 |
| 3 | LeBron James | 162.8 |
| 4 | Steve Nash | 160.9 |
| 5 | Dirk Nowitzki | 158.8 |
| 6 | Marcus Camby | 156.5 |
| 7 | Grant Hill | 146.1 |
| 8 | Dwight Howard | 138.9 |
| 9 | Tracy McGrady | 135.0 |
| 10 | Andre Miller | 116.8 |
So there you have it. Four players in the top five are in the finals. Additionally, it is certain that one of the top three will win a title this year. As a quick note, before anyone complains that Shawn Marion has more wins produced than LeBron, keep in mind these numbers are a total of all these players’ seasons. LeBron is #1 per season.
What about before this year? The media keeps saying that Dirk and the Mavs decided this season that it would be “NBA Title or Bust.” So why don’t we look at the numbers for career wins produced of active NBA players to have never won a title before this season (after all, adding this season’s numbers is pointless since one of the top 3 will have a title for this season):
| Rank | Player | Wins Produced Before 2010-11 |
|---|---|---|
| 1 | Jason Kidd | 278.5 |
| 2 | Shawn Marion | 176.1 |
| 3 | Dirk Nowitzki | 148.6 |
| 4 | Marcus Camby | 146.6 |
| 5 | Steve Nash | 146.2 |
| 6 | Grant Hill | 141.2 |
| 7 | LeBron James | 140.1 |
| 8 | Tracy McGrady | 128.5 |
| 9 | Dwight Howard | 115.5 |
| 10 | Vince Carter | 107.8 |
Now that makes for a great story. The three players with the most career wins produced and no title…all on the same team. All of them are aging. And they may never have this good of a shot again. So they decide it’s title or bust. Now all they have to do is beat the super team from South Beach. It’s always a shame to see great players not win a title. Some of the best ever – Barkley, Stockton & Malone, and Patrick Ewing – never won the title and consequently, have lost a great deal of respect from the media and fans as a consequence. And this phenomenon is not limited to basketball. In all sports, a player has to win a championship to get the ultimate respect (See Dan Marino). On the other hand, a number of mediocre players who won titles have received more respect than they deserve. It’s tough to watch great players have their legacy tarnished because they never had a good enough team to win a championship. Accordingly, it’s hard not to root for the Mavs in this one, especially since LeBron will have plenty more opportunities with this Heat team.
Just for fun, here is the top 10 of all time to have never won it all:
| Rank | Player | Career Wins Produced |
|---|---|---|
| 1 | Charles Barkley | 313.6 |
| 2 | John Stockton | 311.1 |
| 3 | Karl Malone | 291.6 |
| 4 | Jason Kidd | 278.5 |
| 5 | Dikembe Mutombo | 208 |
| 6 | Buck Williams | 197.5 |
| 7 | Shawn Marion | 185.3 |
| 8 | Mark Jackson | 174.1 |
| 9 | Patrick Ewing | 172.2 |
| 10 | Reggie Miller | 162.9 |
2011 Draft Win Score Numbers
The following table shows the position adjusted win scores per 40 minutes (PAWS40) for the top 100 prospects for the 2011 NBA Draft (as ranked by Draft Express). Win Score is a relatively simple player evaluation metric created by Dave Berri. Win Score is calculated by the following equation: PTS + REB + STL + ½*BLK + ½*AST – FGA – ½*FTA – TO – ½*PF. Draft Express reports the raw win scores for every college basketball player. Position Adjusted Win Score is calculated by subtracting the average win score at the particular player’s position, then adding the overall average win score. Dr. Berri has provided numbers for average win scores for college basketball players, but I came up with slightly different numbers. However, while the numbers themselves are different, the position differences are nearly identical relatively. The important number for this table is 7.1, the Win Score of the average player. Thus, all players who have PAWS greater than 7.1 are above average, and all less than 7.1 are below average.
| DX Rank | Player | Age | Position | Height | Weight | Team | PAWS40 |
|---|---|---|---|---|---|---|---|
| 1 | Kyrie Irving | 19 | PG | 6’3″ | 190 | Duke | 13.6 |
| 2 | Derrick Williams | 19 | PF | 6’9″ | 250 | Arizona | 12.7 |
| 3 | Kemba Walker | 21 | PG | 6’1″ | 185 | Uconn | 10.6 |
| 5 | Brandon Knight | 19 | PG/SG | 6’3″ | 180 | Kentucky | 6.3 |
| 10 | Alec Burks | 19 | SG | 6’6″ | 195 | Colorado | 10.7 |
| 11 | Kawhi Leonard | 19 | SF | 6’7″ | 225 | SDSU | 13.8 |
| 12 | Marcus Morris | 21 | PF | 6’9″ | 230 | Kansas | 11.6 |
| 13 | Markieff Morris | 21 | PF | 6’10″ | 240 | Kansas | 13.5 |
| 14 | Tristan Thompson | 20 | PF | 6’9″ | 230 | Texas | 8.1 |
| 15 | Tobias Harris | 18 | SF/PF | 6’8″ | 225 | Tennessee | 8.0 |
| 16 | Jordan Hamilton | 20 | SF | 6’9″ | 230 | Texas | 11.0 |
| 17 | Jimmer Fredette | 22 | PG | 6’2″ | 195 | BYU | 9.3 |
| 19 | Klay Thompson | 21 | SG/SF | 6’7″ | 205 | Washington St. | 8.6 |
| 20 | Chris Singleton | 21 | SF/PF | 6’9″ | 230 | Florida St. | 7.8 |
| 21 | Kenneth Faried | 21 | PF | 6’8″ | 225 | Morehead St. | 17.2 |
| 23 | Reggie Jackson | 21 | PG | 6’3″ | 208 | Boston College | 4.7 |
| 24 | Nolan Smith | 22 | PG/SG | 6’4″ | 190 | Duke | 9.4 |
| 25 | Tyler Honeycutt | 20 | SF | 6’8″ | 190 | UCLA | 7.3 |
| 26 | Travis Leslie | 21 | SG | 6’4″ | 205 | Georgia | 9.0 |
| 27 | Justin Harper | 21 | PF | 6’9″ | 230 | Richmond | 9.5 |
| 29 | Josh Selby | 20 | SG | 6’3″ | 195 | Kansas | 3.8 |
| 30 | Trey Thompkins | 20 | PF | 6’10″ | 240 | Georgia | 11.3 |
| 31 | Jereme Richmond | 19 | SF | 6’7″ | 210 | Illinois | 6.0 |
| 32 | Darius Morris | 20 | PG/SG | 6’5″ | 190 | Michigan | 8.5 |
| 34 | JaJuan Johnson | 22 | PF | 6’10″ | 220 | Purdue | 9.6 |
| 35 | Iman Shumpert | 20 | PG/SG | 6’6″ | 220 | G Tech | 10.0 |
| 36 | Charles Jenkins | 22 | PG/SG | 6’3″ | 220 | Hofstra | 11.8 |
| 37 | Nikola Vucevic | 20 | PF/C | 7’0″ | 260 | USC | 10.9 |
| 38 | Kyle Singler | 23 | SF/PF | 6’9″ | 225 | Duke | 5.9 |
| 39 | Keith Benson | 22 | PF/C | 6’11″ | 220 | Oakland | 11.6 |
| 40 | Jimmy Butler | 21 | SF/PF | 6’8″ | 220 | Marquette | 9.9 |
| 41 | E’Twaun Moore | 22 | SG | 6’4″ | 191 | Purdue | 7.8 |
| 42 | Shelvin Mack | 21 | PG | 6’2″ | 210 | Butler | 7.1 |
| 43 | Malcolm Lee | 20 | SG | 6’5″ | 200 | UCLA | 5.6 |
| 44 | Norris Cole | 22 | PG | 6’2″ | 175 | Cleveland St. | 11.4 |
| 45 | Ben Hansbrough | 23 | PG/SG | 6’3″ | 203 | Notre Dame | 10.5 |
| 46 | Jordan Williams | 20 | C | 6’9″ | 250 | Maryland | 11.5 |
| 47 | Jon Leuer | 22 | PF | 6’11″ | 225 | Wisconsin | 10.0 |
| 48 | David Lighty | 22 | SG | 6’6″ | 215 | Ohio St. | 7.3 |
| 49 | Demetri McCamey | 22 | PG | 6’3″ | 205 | Illinois | 8.4 |
| 50 | Isaiah Thomas | 22 | PG | 5’10″ | 190 | Washington | 8.2 |
| 52 | Marshon Brooks | 22 | SG | 6’5″ | 195 | Providence | 9.9 |
| 53 | Andrew Goudelock | 22 | PG | 6’3″ | 200 | Charleston | 8.4 |
| 54 | Justin Holiday | 22 | SG/SF | 6’6″ | 185 | Washington | 8.9 |
| 55 | DeAndre Liggins | 23 | SG/SF | 6’6″ | 205 | Kentucky | 6.8 |
| 56 | Scotty Hopson | 21 | SG | 6’7″ | 205 | Tennessee | 4.3 |
| 57 | Chandler Parsons | 22 | SF | 6’10″ | 220 | Florida | 10.7 |
| 58 | Malcolm Thomas | 22 | SF/PF | 6’9″ | 225 | SDSU | 10.6 |
| 60 | Greg Smith | 20 | C | 6’9″ | 250 | Fresno St. | 9.1 |
| 61 | Cory Joseph | 19 | PG/SG | 6’3″ | 185 | Texas | 7.6 |
| 64 | Rick Jackson | 21 | PF/C | 6’9″ | 240 | Syracuse | 11.7 |
| 65 | Jamie Skeen | 23 | PF | 6’8″ | 240 | VCU | 9.1 |
| 66 | Gilbert Brown | 23 | SG/SF | 6’6″ | 200 | Pittsburgh | 8.0 |
| 68 | Damian Saunders | 22 | SF/PF | 6’7″ | 205 | Duquesne | 10.0 |
| 72 | Jon Diebler | 22 | SG | 6’6″ | 200 | Ohio St. | 9.9 |
| 73 | Brad Wanamaker | 21 | PG/SG | 6’4″ | 210 | Pittsburgh | 8.9 |
| 74 | Vernon Macklin | 24 | PF | 6’9″ | 245 | Florida | 5.8 |
| 75 | Matthew Bryan-Amaning | 23 | PF | 6’9″ | 240 | Washington | 9.5 |
| 76 | Josh Harrellson | 22 | C | 6’10″ | 275 | Kentucky | 11.8 |
| 77 | Willie Reed* | 21 | PF | 6’9″ | 220 | St. Louis | 10.4 |
| 78 | Gary Flowers | 25 | PF | 6’8″ | 214 | Southern Miss | 8.6 |
| 82 | Jacob Pullen | 21 | PG/SG | 6’0″ | 200 | Kansas St. | 7.2 |
| 83 | Chris Wright | 22 | SF/PF | 6’8″ | 214 | Dayton | 6.6 |
| 84 | LaceDarius Dunn | 23 | SG | 6’4″ | 190 | Baylor | 5.7 |
| 87 | Gary McGhee | 22 | C | 6’11″ | 250 | Pittsburgh | 11.7 |
| 88 | Jerai Grant | 22 | PF | 6’8″ | 220 | Clemson | 11.4 |
| 89 | Lavoy Allen | 22 | PF | 6’9″ | 225 | Temple | 8.0 |
| 90 | D.J. Kennedy | 21 | SF | 6’6″ | 210 | St. John’s | 10.2 |
| 92 | Matt Howard | 22 | PF | 6’8″ | 225 | Butler | 9.6 |
| 93 | Kalin Lucas | 21 | PG | 6’0″ | 180 | Michigan St. | 4.7 |
| 95 | Durrell Summers | 22 | SG | 6’4″ | 195 | Michigan St. | 4.0 |
| 96 | Will Coleman | 22 | PF/C | 6’9″ | 250 | Memphis | 6.9 |
| 97 | Mike Davis | 22 | PF/C | 6’9″ | 210 | Illinois | 7.8 |
A couple of notes on these numbers:
- I didn’t include players who did not play at an American college in this post. I plan on evaluating those players in a future post.
- The numbers are adjusted for team pace.
- The numbers are NOT adjusted for strength of schedule. So be careful when looking at players from mid-major teams because their numbers are probably inflated
- The numbers are not perfect because I am not 100% sure every position is perfect. I did my best to estimate each player’s position.
- The positions listed for each player represent what Draft Express lists the player as, not necessarily what he played in college. For these numbers, I used the position the player played in college.
Here are the top 5 per position (position as in what is listed at Draft Express):
| Centers | |||||
|---|---|---|---|---|---|
| Player | Age | Height | Weight | College | PAWS40 |
| Josh Harrellson | 22 | 6’10″ | 275 | Kentucky | 11.8 |
| Gary McGhee | 22 | 6’11″ | 250 | Pittsburgh | 11.7 |
| Keith Benson | 22 | 6’11″ | 220 | Oakland | 11.6 |
| Jordan Williams | 20 | 6’9″ | 250 | Maryland | 11.5 |
| Nikola Vucevic | 20 | 7’0″ | 260 | USC | 10.9 |
| Power Forwards | |||||
| Kenneth Faried | 21 | 6’8″ | 225 | Morehead St. | 17.2 |
| Markieff Morris | 21 | 6’10″ | 240 | Kansas | 13.5 |
| Derrick Williams | 19 | 6’9″ | 250 | Arizona | 12.7 |
| Rick Jackson | 21 | 6’9″ | 240 | Syracuse | 11.7 |
| Marcus Morris | 21 | 6’9″ | 230 | Kansas | 11.6 |
| Small Forwards | |||||
| Kawhi Leonard | 19 | 6’7″ | 225 | SDSU | 13.8 |
| Jordan Hamilton | 20 | 6’9″ | 230 | Texas | 11.0 |
| Chandler Parsons | 22 | 6’10″ | 220 | Florida | 10.7 |
| D.J. Kennedy | 21 | 6’6″ | 210 | St. John’s | 10.2 |
| Damian Saunders | 22 | 6’7″ | 205 | Duquesne | 10.0 |
| Shooting Guards | |||||
| Alec Burks | 19 | 6’6″ | 195 | Colorado | 10.7 |
| Marshon Brooks | 22 | 6’5″ | 195 | Providence | 9.9 |
| Jon Diebler | 22 | 6’6″ | 200 | Ohio St. | 9.9 |
| Nolan Smith | 22 | 6’4″ | 190 | Duke | 9.4 |
| Travis Leslie | 21 | 6’4″ | 205 | Georgia | 9.0 |
| Point Guards | |||||
| Kyrie Irving | 19 | 6’3″ | 190 | Duke | 13.6 |
| Charles Jenkins | 22 | 6’3″ | 220 | Hofstra | 11.8 |
| Norris Cole | 22 | 6’2″ | 175 | Cleveland St. | 11.4 |
| Kemba Walker | 21 | 6’1″ | 185 | Uconn | 10.6 |
| Ben Hansbrough | 23 | 6’3″ | 203 | Notre Dame | 10.5 |
*Willie Reed did not play in the 10-11 season, so his 09-10 numbers are included.
While college production does not necessarily predict NBA production, I think there are quite a few interesting things about these numbers. Some highly touted point guards, especially Brandon Knight, were fairly unproductive in college. There don’t seem to be that many extremely productive players, although Faried really stands out. Of course, he didn’t play in a quality league, but to have numbers that stand out like that would make me very willing to take a chance on him, especially if I’m a late lottery team. Irving looks like the #1 pick, but he only played a handful of games, so the numbers aren’t entirely conclusive. Finally, other than Brandon Knight, all of the American players projected in the lottery look to be very productive.
-James
A Little Bit More on PGs and NBA success.
It has been suggested by a number of observers that point guard usage, not production, is what analysts are actually talking about when they say the NBA is a PG dominated league. Usage percentage (USG%) is an estimate of the percentage of team plays used by a player while he was on the floor. The following is a table of starting point guards’ usage sorted by team wins in the 2010-11 season. The player that started the most games at point guard for the particular team is the one used.
| Player | Team Wins | USG |
|---|---|---|
| Rose | 62 | 31.3 |
| Parker | 61 | 24.9 |
| Chalmers | 58 | 15 |
| Fisher | 57 | 12.8 |
| Kidd | 57 | 15.7 |
| Rondo | 56 | 19.7 |
| Westbrook | 55 | 30.8 |
| Nelson | 52 | 21.9 |
| Billups | 50 | 21.4 |
| Miller | 48 | 21.4 |
| Paul | 46 | 22.2 |
| Conley | 46 | 19.7 |
| Bibby | 44 | 15 |
| Lowry | 43 | 18.9 |
| Felton | 42 | 22.6 |
| Holiday | 41 | 20.6 |
| Nash | 40 | 23 |
| Williams | 39 | 26.2 |
| Collison | 37 | 21.4 |
| Curry | 36 | 23.8 |
| Jennings | 35 | 25.5 |
| Augustin | 34 | 21.2 |
| Davis | 32 | 27 |
| Stuckey | 30 | 24 |
| Harris | 24 | 24.4 |
| Udrih | 24 | 16.9 |
| Wall | 23 | 23.8 |
| Calderon | 22 | 16.8 |
| Williams | 19 | 25.9 |
| Ridnour | 17 | 17.8 |
A scatterplot might be helpful in visualizing this data:

Although the most used point guard in the NBA, Derrick Rose, was on the team with the most wins this season, USG% was pretty random overall. In fact, the teams with the 3rd, 4th,and 5th best records (Miami, LA, and Dallas) had 3 of the 4 least used starting point guards.
To put it simply, there is not a correlation between USG% of starting point guards and team wins. Or, at least there wasn’t this season.
-James
Is the NBA a Point Guard Dominated League?
Anyone who watched the NBA Draft Lottery last night probably heard it at least 10 times (mostly from Jay Bilas): “It’s a point guard dominated league.” “You can’t have success in the NBA without a great point guard.” Of course, the media would have told you 10, 20, or 30 years ago it was a big man dominated league. But now they’re saying the point guard, not the big man, is the most important position for a team building for the future. How true is this though? Let’s take a look at the production offered by the point guards of the last five champions. (Note: I am using Dr. Dave Berri’s Wins Produced metric to determine production. For more information see the links at the bottom.).
| Year | Champion | Starting PG | WP48 |
|---|---|---|---|
| 2009-10 | LA Lakers | Derek Fisher | -0.050 |
| 2008-09 | LA Lakers | Derek Fisher | 0.051 |
| 2007-08 | Boston | Rajon Rondo | 0.219 |
| 2006-07 | San Antonio | Tony Parker | 0.194 |
| 2005-06 | Miami | Jason Williams | 0.104 |
WP48 is the wins produced by the particular player per 48 minutes he is on the floor. 0.100 is what the average player produces. 0.200 is considered to be “star” level. The most elite players in the NBA usually have a WP48 of greater than 0.300. Only one point guard starting for the championship team in the last five years has produced at the level of a star, Rajon Rondo (though Tony Parker was very close). Jason Williams was roughly average and Derek Fisher has actually been below average in the Lakers’ last two championship seasons. This data suggests that an elite point guard is not necessary in building a champion in the NBA. So is there a position that dominates the league? Let’s take a look at the main big man from the last five champions.
| Year | Champion | Starting Big | WP48 |
|---|---|---|---|
| 2009-10 | LA Lakers | Pau Gasol | 0.307 |
| 2008-09 | LA Lakers | Pau Gasol | 0.250 |
| 2007-08 | Boston | Kevin Garnett | 0.370 |
| 2006-07 | San Antonio | Tim Duncan | 0.355 |
| 2005-06 | Miami | Shaquille O’Neal | 0.225 |
Of course, the term “big man” covers two positions, the power forward and the center. Still, I think it’s a fair comparison since these two positions are generally interchangeable, where the point guard is a very unique position. The second table demonstrates the importance of big men in title teams. Every single primary big man produced at “star” levels the year his team won the championship, and every single big man substantially outproduced his point guard counterpart.
So it seems that this league has not actually become a point guard dominated league. In fact, it remains dominated by the bigs. Thus, a general manager looking to build a champion should look at the big guys first. Of course, that is not to say that Cleveland should attempt to take a big with their #1 pick. In fact, there is a lack of quality big men in the draft. Kyrie Irving might be the right choice, but that post is for another day. Also, Derrick Williams, who played center at Arizona, is being evaluated as a small forward by NBA scouts. But is SF the best position for him in the NBA, or will he benefit a team more at power forward? NBA scouts don’t like his size for the PF position. But is the obsession with size (e.g., particular measurements for a particular position) warranted? Again, that will be discussed in another post.
-James
More information on Wins Produced:
http://www.stumblingonwins.com/
http://www.stumblingonwins.com/CalculatingWinsProduced.html
http://dberri.wordpress.com/frequently-asked-questions-and-comments/
