inpredictable
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NBA Player Win Probability (what is this?)
Season: Position: Team: Playoffs:
From Date: To Date: | Total WPA Per Game WPA
Rank: 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-350 | 351-400 | 401-450 | 451-500 | 501-528

Win Probability Added (WPA)Other WPA
RnkPlayerPosGmsWPAeWPAclWPAgbWPASHTOFTREBASTSTLBLKkWPA
51Ricky RubioG60-1.95-1.73-0.37-0.142.28-4.230.291.9110.042.020.1512.17
52Klay ThompsonG675.424.482.101.157.77-2.350.292.624.851.640.7715.30
53Joe HarrisG-F684.823.092.270.557.51-2.690.282.565.101.030.2413.74
54Emmanuel MudiayG520.00-0.150.350.203.78-3.770.281.696.731.040.229.69
55Kevin LoveF-C160.590.650.130.191.27-0.680.281.390.930.160.063.12
56Jusuf NurkicC69-0.140.59-0.340.394.07-4.210.287.695.481.741.5716.34
57Justin HolidayF-G700.76-0.020.73-0.053.22-2.460.262.583.432.290.629.68
58Bojan BogdanovicF723.304.020.321.056.31-3.010.262.323.911.360.0010.88
59Nik StauskasG581.260.380.75-0.132.27-1.010.260.832.150.400.074.71
60Terrence RossG-F703.522.311.650.445.54-2.010.252.273.251.770.5711.38
61Enes KanterC561.311.220.420.333.65-2.340.256.012.810.650.4211.21
62Darren CollisonG710.830.960.200.334.16-3.340.252.2411.812.580.1617.62
63Jonas ValanciunasC412.031.790.560.323.61-1.580.242.861.570.290.647.40
64Alec BurksG620.000.460.090.541.61-1.610.241.793.030.800.315.93
65Gordon HaywardF640.890.810.590.513.23-2.340.242.286.091.190.2510.70
66Nikola MiroticF452.562.320.650.413.52-0.970.232.721.550.680.548.04
67Nicolas BatumG-F690.630.98-0.150.193.21-2.580.223.388.021.400.7914.23
68Collin SextonG71-1.37-0.55-0.420.401.86-3.230.221.805.400.720.106.65
69Langston GallowayG682.111.930.360.182.79-0.680.211.442.240.640.126.55
70Ryan ArcidiaconoG711.271.030.620.372.61-1.330.211.516.971.390.1211.26
71Monte MorrisG683.292.151.06-0.074.35-1.070.211.697.951.350.0614.34
72Davis BertansF642.932.630.720.423.63-0.700.211.812.580.590.508.41
73De'Aaron FoxG69-0.140.14-0.38-0.105.20-5.340.212.1815.643.420.6421.74
74Wesley MatthewsG611.601.430.450.293.36-1.760.201.443.801.070.268.16
75Dewayne DedmonC600.931.14-0.070.142.75-1.820.204.662.661.311.2510.82
76Thomas BryantC-F614.292.772.220.715.28-0.990.203.272.110.530.9111.11
77Shabazz NapierG540.810.370.620.182.17-1.360.190.703.480.670.285.94
78Boban MarjanovicC451.230.900.580.242.34-1.110.191.980.830.250.384.67
79Malik MonkG610.820.150.750.092.61-1.800.190.732.010.460.214.22
80Kyle KorverG-F642.041.780.280.033.34-1.300.191.131.810.480.175.63
81Dennis SchroderG670.46-0.770.89-0.353.73-3.270.192.058.401.270.0912.27
82Kelly OlynykF-C672.581.611.290.325.03-2.460.182.773.691.120.3810.54
83Bogdan BogdanovicG581.410.380.88-0.153.85-2.440.181.737.301.260.1411.84
84Ersan IlyasovaF561.100.620.32-0.151.98-0.890.182.351.270.710.225.65
85Tomas SatoranskyG690.080.73-0.290.362.06-1.980.182.549.101.250.2313.19
86Kelly Oubre Jr.F-G692.871.871.600.605.58-2.710.173.162.372.361.0811.85
87Gorgui DiengC641.060.610.480.031.90-0.840.172.081.680.630.606.05
88Al HorfordC-F612.981.921.250.205.23-2.260.174.318.001.331.4718.08
89Marcus SmartG70-0.070.57-0.310.332.29-2.350.171.938.032.980.4613.34
90Patrick BeverleyG720.590.630.040.072.28-1.680.173.267.671.740.6613.91
91CJ McCollumG683.373.530.931.096.08-2.710.162.626.501.120.4114.02
92Mikal BridgesG-F721.281.290.470.482.56-1.280.161.984.342.410.5410.55
93John CollinsF-C533.993.701.331.036.52-2.530.155.633.000.380.5713.57
94Landry ShametG703.102.840.950.703.87-0.770.150.782.290.760.137.06
95Jonathan IsaacF650.330.68-0.140.212.05-1.730.153.511.841.191.188.05
96Allonzo TrierG641.210.230.55-0.423.25-2.040.151.552.840.450.196.25
97Patty MillsG702.171.480.66-0.034.05-1.880.151.376.440.910.1711.05
98Zaza PachuliaC570.14-0.300.24-0.201.21-1.070.142.682.130.900.236.09
99D'Angelo RussellG721.030.350.53-0.156.65-5.620.142.4314.362.200.3020.31
100Deandre AytonC661.872.790.531.454.67-2.800.146.563.361.511.0014.31