Draft Comparison by Numbers

With just over 24 hours left until the 2010 NBA Draft, scouting reports, opinions, analysis and comparisons are flying around at a fevered pace. The culmination of two and a half months worth of anticpation for many NBA fans, there is a huge mass of information and discussion available about each player, their strengths, weaknesses and potential. One of the most frustrating components of this coverage for me is the comparison of draft prospects to current NBA players. As the easiest way for casual fans and analysts to contribute, these can make up the bulk of discussion on many media outlets (I’m looking at you sports talk radio.) I don’t have a problem with these comparisons in theory, I have a problem with the criteria used to make the comparisons.

For years, every guard with exceptional leaping ability was potentially the next Michael Jordan. Every long white player who can shoot is the next Larry Bird, Keith Van Horn or Adam Morrison; depending on the era. Although, in some parts of Rhode Island they’re referred to as the second coming of Austin Croshere. Every point guard from Gonzaga is the next John Stockton, every huge, awkward center is the next Greg Ostertag and every shot-blocking center with African roots is the next Dikembe Mutombo. These comparisons, based on skin color, position, the college they attended or one singular attribute do a diservice to the players and fans alike.

I began this project almost two months ago, with the idea of creating a system for comparing draft prospects to current NBA players, based on statistical outputs alone. With limited math and statistics skills it was a serious undertaking, and I have arrived at a system with some serious flaws. We’ll address the flaws in a moment, let me start by explaining what I’ve done.

My goal was to create a database whereby I could plug in a statistical profile for a draft prospect and return the statistical profile for the past draftee who’s profile is most similar, in addition I was hoping to find a way to create a numeric representation of how similar their profiles were. In this way you could make accurate comparisons without any subjective opinions. I understand that this project is an over-reaction in the other direction, and that potential and subjective opinions are invaluable tools for making personnel decisions. I just wanted to remind everyone that there are other tools being largely ignored by the casual fan and analyst.

I started by selecting 27 statistical categories which I thought I would offer a semi-complete profile of a player’s skills and abilities. Some of these categories were simple statistical production (Ast/40), some were ratios designed to help inform a player’s tendencies (3PA/FGA). I was somewhat limited in what stats I could use because I needed ones that I could find for college players over the last decade for comparison. For example, I would have liked to use Rebound Rates, but couldn’t find those numbers for college seasons before 2004. The complete list of categories I decided on is below:

  1. Height
  2. Weight
  3. Minutes per Game
  4. Points per 40 minutes
  5. Rebounds per 40 minutes
  6. Offensive Rebounds per 40 minutes
  7. Defensive Rebounds per 40 minutes
  8. Assists per 40 minutes
  9. Steals per 40 minutes
  10. Blocks per 40 minutes
  11. Turnovers per 40 minutes
  12. Personal Fouls per 40 minutes
  13. 2PT Field Goal Percentage
  14. 3PT Field Goal Percentage
  15. Free Throw Percentage
  16. Effective Field Goal Percentage
  17. True Shooting Percentage
  18. Free Throw Attempts per 40 minutes
  19. 3PT Attempts per Field Goal Attempt
  20. Assists per Field Goal Attempt
  21. Assist to Turnover Ratio
  22. Pure Point Rating
  23. Percentage of Team’s Possessions Used
  24. Points per Possession
  25. Field Goal Attempts per Possession
  26. Turnovers per Possession
  27. Player Efficiency Rating (PER)

Once I had the categories for a statistical profile, I put together the database for comparison, including every player drafted in the 1st Round since the 2001 NBA Draft. Subtracting high schoolers and foreign players, this left me with 171 players for comparison. Adding the top 40 college players available in this year’s draft (I used Draftexpress.com’s mock draft as a reference.) The next step was to calculate the average and standard deviation for each statistical category in the database. With that information I could standardize the individual values for each player in each category. Adding those standardized values together then gives us a single numeric value for each player’s statistical profile which can be used for comparison.

Now the sum of these standardized values is not a measure of a player’s worth. Some the values you see below are negatives, as for certain categories it would be better to below average, turnovers for example. By comparing these sums I was able to find the previous college player with the most similar statistical profile to each of the 40 players available in this draft. The results are below with the sum of the standardized values for each player in paraentheses. After the tables we can talk about some of the flaws.
 

1. John Wall (0.2779)Jerryd Bayless (0.2166)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
John WallPG76.0196.034.819.14.90.94.07.52.00.64.62.250.932.575.450.056.07.20.260.551.620.7823.41.010.720.2422.2
Jerryd BaylessPG/SG75.0204.035.722.13.10.52.64.51.10.13.32.548.940.783.954.061.08.30.380.321.36-0.8525.31.190.760.1823.7

2. Evan Turner (12.4739)George Hill (12.9405)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Evan TurnerSG79.0214.035.822.810.22.28.06.71.91.04.93.154.036.475.854.058.06.60.120.401.36-1.2529.61.050.760.2330.4
George HillPG/SG74.5181.036.823.37.31.75.74.61.90.43.23.058.045.081.261.066.08.30.270.341.46-0.3026.51.260.740.1732.4

3. Derrick Favors (1.2534)Al Horford (1.2752)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Derrick FavorsPF82.0245.027.518.112.34.47.91.51.33.03.63.861.3-62.961.062.05.80.000.130.41-6.6315.91.110.720.2224.8
Al HorfordPF82.0246.027.819.013.63.610.03.11.12.62.63.661.40.064.461.063.07.60.010.271.21-1.3116.31.200.730.1630.2

4. DeMarcus Cousins (10.0594)Jason Thompson (10.4672)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
DeMarcus CousinsPF/C83.0292.023.525.816.86.99.91.71.73.03.55.556.516.760.456.058.012.00.020.100.59-5.9318.81.140.730.1534.4
Jason ThompsonPF/C83.0250.034.623.614.03.910.13.21.23.13.43.457.832.458.157.058.07.80.070.190.94-3.2025.61.130.800.1631.4

5. Wesley Johnson (2.6055)Luther Head (2.5294)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Wesley JohnsonSG/SF79.0206.035.018.99.82.57.32.51.92.12.62.454.041.577.256.060.04.70.300.190.96-2.4119.71.180.840.1725.4
Luther HeadSG75.0179.033.319.24.80.74.04.62.10.32.11.754.741.078.859.061.03.10.610.322.172.3119.11.270.940.1425.5

6. Greg Monroe (5.3338)Chris Bosh (5.7637)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Greg MonroePF/C83.0247.034.218.911.32.58.74.41.41.83.83.054.525.966.058.061.07.20.070.331.14-2.3623.11.050.730.2125.9
Chris BoshPF83.0225.031.019.511.23.87.31.51.22.62.92.957.646.873.060.063.07.00.160.130.53-4.8918.31.210.750.1827.6

7. Al-Farouq Aminu (-3.3085) –  Spencer Hawes (-3.3208)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Al-Farouq AminuSF/PF80.5216.031.320.213.75.58.21.71.81.84.13.848.427.369.847.053.08.20.180.110.41-7.4221.91.000.760.2023.6
Spencer HawesC85.0244.028.920.68.82.76.12.70.72.43.53.153.333.375.553.056.04.40.010.170.77-4.2919.41.080.850.1822.8

8. Xavier Henry (-4.4071)Tayshaun Prince (-4.4495)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Xavier HenrySG/SF78.5210.027.519.56.31.74.62.12.20.72.82.749.241.878.356.059.04.60.470.150.77-3.4416.31.180.860.1721.9
Tayshaun PrinceSF81.0215.034.020.57.42.44.91.91.21.62.31.956.434.070.354.056.04.30.430.120.81-2.7920.71.180.930.1323.4

9. Ed Davis (-1.3980)Jason Maxiell (-1.5073)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Ed DavisPF82.0227.026.919.213.64.19.61.40.64.02.92.657.8-65.958.061.08.20.000.110.48-4.8815.21.160.720.1726.8
Jason MaxiellPF78.0258.031.419.59.84.15.71.11.33.52.53.254.540.064.555.059.010.20.020.090.44-4.3918.81.170.700.1526.3

10. Ekpe Udoh (-2.8560)Brandan Wright (-2.2947)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Ekpe UdohPF/C82.0237.035.115.811.14.17.03.90.94.22.82.850.526.968.550.054.05.10.070.251.11-1.8219.71.040.810.1825.1
Brandan WrightPF82.0200.027.421.59.03.06.01.51.42.62.32.264.6-56.765.064.06.20.000.100.63-3.4115.81.260.810.1427.0

11. Patrick Patterson (-2.5771)Jared Jeffries (-3.0796)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Patrick PattersonPF81.0240.033.017.39.03.75.31.10.91.61.31.962.634.869.261.063.04.10.180.100.88-1.3715.61.300.890.1024.0
Jared JeffriesSF/PF82.0215.032.619.49.83.36.62.71.91.73.73.247.238.066.749.053.07.20.170.180.73-4.5222.11.030.790.2022.7

12. Luke Babbitt (6.2743) - Troy Bell (6.2797)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Luke BabbittSF81.0218.037.123.69.62.27.42.31.10.92.62.852.141.691.754.062.06.90.200.140.89-2.6625.01.240.840.1327.6
Troy BellPG/SG74.0178.038.626.14.71.63.13.82.30.22.62.248.440.284.755.062.08.90.520.231.46-0.2627.71.280.830.1329.5

13. Avery Bradley (-20.2629) - Demar Derozan (-15.7546)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Avery BradleySG75.0180.029.515.83.91.32.62.81.80.72.13.245.737.554.549.050.02.60.300.191.37-0.5114.91.050.970.1414.5
Demar DerozanSG78.5211.033.416.66.92.94.01.71.10.42.52.556.216.764.653.056.05.00.100.140.70-3.3719.41.090.830.1619.3

14. Cole Aldrich (1.1862) - Charlie Villanueva (1.1378)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Cole AldrichC83.0236.026.816.914.74.610.11.31.15.22.33.856.2-67.956.060.06.60.000.120.55-3.6913.91.160.760.1628.7
Charlie VillanuevaPF81.0237.025.821.112.94.18.82.01.02.93.53.452.250.068.853.057.06.70.040.130.57-5.4617.31.090.790.1825.9

15. Gordon Hayward (-2.7436)Jared Jeffries (-3.0796)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Gordon HaywardSF80.0211.033.518.59.82.37.52.01.31.02.92.659.229.482.953.050.07.00.430.170.73-3.5620.61.170.760.1724.9
Jared JeffriesSF/PF82.0215.032.619.49.83.36.62.71.91.73.73.247.238.066.749.053.07.20.170.180.73-4.5222.11.030.790.2022.7

16. Larry Sanders (-0.6325)Hakim Warrick (-0.9993)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Larry SandersPF82.5222.026.921.413.64.59.11.41.13.82.54.454.725.064.154.056.07.10.040.090.59-3.7818.41.150.840.1330.0
Hakim WarrickPF80.5215.037.522.89.23.35.91.61.00.82.72.556.629.068.156.060.09.70.070.110.58-4.1626.41.190.760.1426.9

17. Paul George (5.6852)Al Thornton (5.4371)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Paul GeorgeSG/SF81.0214.033.220.28.72.36.43.72.71.03.93.548.535.390.951.057.05.50.460.240.94-3.7323.11.090.810.2125.4
Al ThorntonSF79.0221.031.225.39.23.95.30.91.91.53.23.554.944.479.057.062.07.70.180.050.28-6.5223.71.220.810.1530.0

18. Eric Bledsoe (-11.6073)Daequan Cook (-10.7018)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Eric BledsoePG/SG73.5182.030.314.94.10.73.43.81.90.44.02.951.638.366.754.057.04.40.410.340.96-3.6916.11.000.740.2714.4
Daequan CookSG78.0203.019.719.88.71.57.22.11.50.52.93.446.541.569.753.055.03.40.410.130.71-3.8413.31.120.930.1621.2

19. Solomon Alabi (-4.9582)Marcus Haislip (-5.5872)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Solomon AlabiC85.0237.025.618.29.73.95.80.81.03.73.03.753.4-79.453.060.06.60.000.060.26-6.1515.31.130.750.1824.6
Marcus HaislipPF82.0221.033.519.87.92.75.31.10.52.12.44.155.132.672.154.057.05.30.150.080.47-4.2020.51.160.870.1421.6

20. Damion James (4.3035)Tyler Hansbrough (4.2418)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Damion JamesSF/PF80.0227.030.323.813.64.29.41.32.21.62.73.953.538.367.454.058.08.10.220.080.48-4.5920.41.180.810.1328.6
Tyler HansbroughPF81.5234.030.327.410.74.06.71.31.60.52.43.052.139.184.152.061.011.50.050.080.54-3.9421.71.260.780.1130.4

21. Daniel Orton (-20.1845)Chris Wilcox (-15.6641)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Daniel OrtonC81.5269.013.210.310.03.66.51.21.74.23.07.053.90.052.453.053.05.00.020.160.39-5.605.20.920.650.2715.8
Chris WilcoxPF82.0218.024.118.411.04.16.82.31.22.32.34.150.60.058.550.052.06.30.010.151.00-2.0814.61.080.860.1323.7

22. Hassan Whiteside (3.5234)Demarre Carroll (3.5869)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Hassan WhitesidePF/C83.5227.026.120.113.64.19.50.40.98.22.93.752.260.058.853.055.08.40.020.030.16-6.4616.91.090.780.1629.8
Demarre CarrollSF80.0207.028.023.610.33.56.83.12.20.92.13.257.936.463.458.059.07.20.100.191.46-0.1818.61.230.860.1130.3

23. Dominique Jones (1.6883)Marcus Williams (1.6426)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Dominique JonesSG77.0216.037.123.06.61.25.43.91.80.63.23.052.131.174.150.056.09.20.340.241.24-1.4528.81.130.790.1626.3
Marcus WilliamsPG75.0215.033.314.84.60.93.710.31.10.34.42.041.040.086.247.056.05.70.290.972.335.9617.90.960.690.2919.3

24. Elliot Williams (-1.0605)Kirk Snyder (-1.0392)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Elliot WilliamsPG/SG76.0175.033.321.54.80.93.94.51.60.13.52.452.736.675.854.060.09.00.420.331.28-1.3723.31.150.730.1923.8
Kirk SnyderSG79.0228.031.723.77.22.44.84.31.30.84.42.747.034.873.149.054.08.20.320.240.98-3.8725.61.050.800.2023.4

25. Craig Brackins (-9.8072)Darrell Arthur (-9.2456)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Craig BrackinsPF82.0229.035.118.89.72.47.32.50.91.42.42.344.631.076.045.050.05.50.190.151.01-2.0022.41.050.910.1320.3
Darrell ArthurPF80.5216.024.720.610.13.76.41.30.82.13.04.855.516.770.255.057.04.60.030.080.44-5.3816.61.110.860.1623.5

26. Greivis Vasquez (5.5496)Josh Childress (5.3564)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Greivis VasquezPG/SG78.5211.033.923.15.51.44.17.42.00.44.02.547.035.985.750.055.05.80.370.411.872.3525.71.080.850.1825.8
Josh ChildressSF79.0196.029.821.010.12.67.53.61.22.23.03.253.639.582.156.060.05.50.340.241.20-1.5719.51.190.840.1728.5

27. Armon Johnson (-9.8069)Jordan Farmar (-9.7921)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Armon JohnsonPG75.0195.034.518.33.90.93.06.51.00.43.92.154.423.967.851.054.04.00.160.431.660.9222.21.000.830.2118.4
Jordan FarmarPG74.0171.030.417.73.40.72.66.71.50.34.82.247.233.371.748.052.04.50.450.451.40-0.9122.30.950.800.2617.9

28. James Anderson (5.1228)Quincy Douby (5.2268)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
James AndersonSG/SF78.0208.034.126.26.82.34.62.81.60.72.83.154.934.181.053.060.09.20.440.161.03-2.2426.31.230.830.1329.1
Quincy DoubySG75.0175.036.727.74.70.93.83.41.90.93.02.051.540.184.756.060.05.80.470.171.12-1.9831.31.240.920.1430.7

29. Stanley Robinson (-9.1744)Wilson Chandler (-10.0241)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Stanley RobinsonSF/PF80.0213.034.217.08.93.15.81.21.01.42.61.857.134.262.956.057.03.30.200.090.44-4.6919.21.110.870.1720.7
Wilson ChandlerSF80.0210.031.718.48.72.36.41.80.81.72.03.649.433.365.450.052.04.00.270.110.87-2.1620.81.100.960.1221.6

30. Terrico White (-14.1043)Demar Derozan (-15.7564)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Terrico WhitePG/SG77.0203.031.519.35.82.03.81.91.10.31.72.348.734.371.450.053.04.30.400.121.11-1.1518.51.150.970.1018.7
Demar DerozanSG78.5211.033.416.66.92.94.01.71.10.42.52.556.216.764.653.056.05.00.100.140.70-3.3719.41.090.830.1619.3

31. Willie Warren (-4.4783)Frank Williams (-4.4793)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Willie WarrenSG76.0208.032.320.24.10.83.25.11.20.14.72.852.430.979.550.057.07.50.400.361.08-3.4323.11.030.730.2418.6
Frank WilliamsPG75.0212.032.519.85.71.14.65.32.50.33.42.542.334.080.845.053.07.10.360.351.590.4421.81.060.830.1822.5

32. Quincy Pondexter (2.2165)Antoine Wright (2.2119)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Quincy PondexterSF78.0220.032.323.99.13.75.42.21.60.72.33.155.035.382.755.061.07.80.110.140.93-2.2721.41.240.830.1228.2
Antoine WrightSG/SF78.0203.033.921.07.01.95.12.61.40.82.93.054.044.769.159.061.05.40.410.180.92-2.8022.01.220.850.1724.7

33. Darrington Hobson (-1.7650)Aaron Brooks (-1.7392)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Darrington HobsonSF78.5204.033.618.911.12.68.55.41.50.53.52.346.536.165.348.052.06.80.250.361.540.1422.91.020.800.1924.0
Aaron BrooksPG72.0161.036.819.34.61.03.74.61.50.22.82.750.240.484.655.059.04.20.430.321.670.7222.51.170.880.1722.2

34. Devin Ebanks (-15.6870)Demar Derozan (-15.7654)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Devin EbanksSF80.0208.034.114.19.53.46.12.91.20.82.61.949.510.077.046.053.05.20.100.261.11-1.7418.11.020.790.1920.3
Demar DerozanSG78.5211.033.416.66.92.94.01.71.10.42.52.556.216.764.653.056.05.00.100.140.70-3.3719.41.090.830.1619.3

35. Gani Lawal (-8.6004)Darrell Arthur (-9.2456)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Gani LawalPF81.0233.025.820.313.14.58.60.60.72.13.43.353.1-57.253.055.09.50.000.050.19-7.3217.31.060.730.1822.9
Darrell ArthurPF80.5216.024.720.610.13.76.41.30.82.13.04.855.516.770.255.057.04.60.030.080.44-5.3816.61.110.860.1623.5

36. Jordan Crawford (-2.3259)Casey Jacobsen (-2.3250)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Jordan CrawfordSG76.5198.032.825.05.81.24.63.51.60.23.02.050.139.177.353.057.05.40.360.181.19-1.6024.61.170.910.1424.8
Casey JacobsenSG/SF78.0215.035.224.04.91.63.33.90.70.12.72.048.137.277.651.057.08.60.370.231.45-0.2925.51.190.840.1324.2

37. Mikhail Torrance (-0.4767)Mike Conley (-0.4634)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Mikhail TorrancePG/SG76.0207.032.919.24.60.44.26.21.00.33.31.952.135.886.553.059.06.00.310.471.882.0121.01.130.780.1923.3
Mike ConleyPG73.0175.031.614.34.40.93.57.72.80.32.81.957.930.469.455.059.04.70.220.772.775.7715.81.090.760.2124.2

38. Lance Stephenson (-15.6001) - Demar Derozan (-15.7654)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Lance StephensonSG78.0227.028.217.57.62.65.03.51.30.33.42.849.521.966.446.049.05.00.200.231.04-2.6618.80.970.850.1917.7
Demar DerozanSG78.5211.033.416.66.92.94.01.71.10.42.52.556.216.764.653.056.05.00.100.140.70-3.3719.41.090.830.1619.3

39. Jarvis Varnado (-0.2561)Hilton Armstrong (-0.2794)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Jarvis VarnadoPF82.0210.031.717.412.93.89.21.10.86.02.53.158.2 -61.058.060.07.40.000.100.45-4.3717.41.150.740.1728.6
Hilton ArmstrongPF82.0240.027.714.09.62.96.71.10.94.53.34.060.950.069.261.064.05.30.010.130.32-6.4212.31.090.640.2619.8

40. Trevor Booker (-4.7462)Luol Deng (-4.7329)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Trevor BookerSF79.5236.030.819.810.93.67.33.31.71.82.52.654.726.559.147.053.07.00.090.221.31-0.8719.41.110.830.1426.7
Luol DengSF80.0220.031.119.48.92.96.02.41.71.42.92.951.436.071.052.055.04.70.250.150.82-3.3219.61.100.870.1623.0

41. Sherron Collins (-6.7597)T.J. Ford (-6.7383)

 PositionHeightWeightMin/gPts/40Reb/40Oreb/40Dreb/40Ast/40Stl/40Blk/40TO/40PF/402PT%3PT%FT%eFG%TS%FTA/403PA/FGAAst/FGAA/TOPPR% of Tm Pos.Pts/Pos.FGA/PosTO/PosPER
Sherron CollinsPG72.0217.033.018.82.50.32.35.41.30.12.92.046.937.085.551.056.04.70.440.371.891.7919.81.120.870.1719.1
T.J. FordPG72.0162.033.617.24.50.73.78.02.30.23.72.942.926.582.042.051.06.80.170.642.375.4621.80.970.780.2122.0

Now there are some obvious flaws with my method, as evidenced by the results. Since each of the categories are weighted equally, a close similarity in a subtle category like FGA/POS can make up for a large disparity in a more obvious category like Assists. In addition since my technique is really measuring how far away from average a player is in each of these categories, it doesn’t always lead to statistical profiles that match up perfectly. For example a guard could be above average in all the shooting categories  and come out looking the same as a power forward who is above average in all the rebounding or possession categories. The only subjective piece I had to add was factoring in a position played when a profile was close to two or more profiles.

I am hoping that this is a tool that I can continue to refine for next year’s draft. As this year’s draft classs gets incorporated into the comparison database I will have a larger sample for comparison. In addition if anyone has suggestions on how to improve or simply change my techniques I would love to hear them. Here is the link to the spreadsheet if anyone wants to look at the raw data.

That being said, there were some interesting results. Keep in my mind that this is not meant as a tool to predict future production, just compare what a player has already done. I am not saying that Wesley Johnson will have Luther Head’s career arc, but it is interesting that those two players had such similar profiles. The others that were extremely close were Willie Warren and Frank Williams as well as Antoine Wright and Quincy Pondexter. Remember, I am not advocating using this for any specific purpose, but I thought it would be fun to see. Enjoy!

About Ian Levy

Ian is the founder, owner, operator, editor, and lead writer at Hickory-High. For him, writing about basketball is a way of learning about basketball. You can find more from Ian at Indy Cornrows, The Two Man Game, Hardwood Paroxysm, and ProBasketballDraft.com. Follow him on Twitter, @HickoryHigh, or draw a circle around him on Google+.
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  • http://chrisross91.wordpress.com Chris Ross

    Great blog about the draft! I love draft time whether it be NBA, NFL or NHL it’s all so much fun. It’s going to be interesting to see who falls and who rises. Lotta tough decisions for teams to make. These stats are really in depth it’s great. Also, you think you could check out my piece on tomorrow’s draft? I really wanna hear your opinion on what I think. http://chrisross91.wordpress.com/

  • Devin

    Nice read.

    As you note, you didn’t weight various categories, but is this something you look to do in the future? Also, have you considered potentially just eliminating categories that aren’t at all statistically significant? Like, for example, you’ve got a center who’s taken 1 three pointer ever, and made it — presumably this would make him different from someone who was otherwise just the same, but who took one three pointer and missed it leaving a comparison of 0% to 100% in that one category, when really there’s pretty much no value in it, and would probably get a better, closer match, if the category were not even included.

    Anyhow, good stuff — I’m bookmarking and look forward to reading more.

    • http://ilevy.wordpress.com ilevy

      Devin, Thanks for taking the time to read and comment. I didn’t weight various categories and I know it caused some problems in the numbers. I wanted to weight the categories but couldn’t come up with a consistent way to handle and basically ran out of time before the draft. It’s something I will definitely be revisiting as this year’s draft approaches.

      Your example with 3Pointers is a perfect illustration of one of the problems I ran into. Leaving it the way I did you obviously end up with a few guys, big men who made something like 1 out of 2 3Pts on the season which statistically makes them look very different than a guy who didn’t make any, even though it is not a big difference. The problem is if I leave out 3Pts for big men I am discounting the value of those few big men who can shoot from the outside.

      I also really struggled with weighting the categories. Theoretically, there are some categories which are important to all players and these could be weighted more. But I ran out of time leading up the draft and didn’t have time to experiment as much as I would have liked.

      One of the major problems with weighting categories is, as I mentioned in the intro, I was trying to keep this analysis as free from subjective opinion as possible. I felt like any serious attempt at weighting the categories, would have to factor in the position a player plays in that the important categories for a point guard are different from the important categories for a center. However, even within a position there are such variances. A power forward at Duke is asked to do very different things from a power forward at Texas. This created a situation where I was thinking about breaking players down beyond positions. This injected more subjective analysis than I was comfortable with and I didn’t have time to come up with a good solution so I just left it until next season.

      I am glad you enjoyed the analysis. Hopefully, I will have something a little more refined and accurate ready for next spring. Thanks again for commenting!