2013-14 Real Plus-Minus

RKNAMETEAMGPMPGORPMDRPMRPMWINS
1Chris Paul, PGLAC6235.04.583.898.4717.24
2Stephen Curry, PGGS7836.57.79-1.266.5318.76
3Kevin Durant, PFOKC8138.56.17-0.305.8718.86
4James Harden, SGHOU7338.06.00-0.555.4516.13
5Dirk Nowitzki, FDAL8032.93.431.875.3014.54
6LeBron James, SFMIA7737.76.13-0.895.2515.56
7Kyle Lowry, PGTOR7936.23.900.964.8614.64
8Kevin Love, PFMIN7736.35.34-0.954.3914.28
9Patty Mills, PGSA8118.92.951.334.287.35
10Kawhi Leonard, SFSA6629.11.362.874.239.25
11Danny Green, SFSA6824.31.382.814.197.85
12Goran Dragic, PGPHX7635.13.680.474.1512.78
13Paul George, SGIND8036.20.923.204.1213.32
14Manu Ginobili, GSA6822.85.14-1.084.067.41
15Carmelo Anthony, PFNY7738.72.411.594.0013.26
16John Wall, PGWSH8236.33.560.263.8213.42
17Paul Pierce, SFBKN7528.00.423.343.769.11
18Mario Chalmers, GMIA7329.81.222.343.569.28
19Klay Thompson, SGGS8135.42.740.803.5412.75
20Russell Westbrook, PGOKC4630.75.54-2.073.476.27
21Joakim Noah, CCHI8035.3-0.253.623.3711.32
22Eric Bledsoe, SGPHX4332.91.152.103.255.89
23Matthew Dellavedova, PGCLE7217.71.621.623.245.14
24Andre Iguodala, SFGS6332.40.982.193.178.54
25Kyle Korver, GATL7133.92.081.003.089.73
26Jae Crowder, PFDAL7816.10.482.422.904.88
27Ryan Anderson, PFNO2236.12.430.412.843.01
28Iman Shumpert, SGNY7426.5-1.264.092.847.10
29Troy Daniels, GHOU515.04.23-1.402.830.33
30Jrue Holiday, PGNO3433.62.000.822.814.34
31Nate Robinson, PGDEN4419.71.810.972.773.28
32Isaiah Thomas, PGSAC7234.73.04-0.292.759.62
33Kemba Walker, PGCHA7335.8-0.403.142.749.50
34Channing Frye, FPHX8228.21.810.832.648.59
35Matt Barnes, SFLAC6327.52.330.102.436.38
36Josh McRoberts, PFCHA7830.30.931.462.407.94
37Greivis Vasquez, PGSAC/TOR7922.50.361.922.285.91
38Serge Ibaka, COKC8132.90.022.252.279.29
39Anthony Morrow, SGNO7618.81.330.932.274.78
40LaMarcus Aldridge, CPOR6936.2-0.212.462.258.59
471 Results
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Real Plus-Minus (RPM) was recently updated by the ESPN Sports Analytics Team. This new version of RPM was inspired by the original RPM created by Jeremias Engelmann, in consultation with Steve Ilardi, and now uses advanced box statistics derived from player tracking data, along with a slightly modified statistical model.