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 | 501-512

Win Probability Added (WPA)Other WPA
RnkPlayerPosGmsWPAeWPAclWPAgbWPASHTOFTREBASTSTLBLKkWPA
51Nicolas BatumG-F291.351.260.310.221.72-0.370.061.101.480.950.175.05
52Jayson TatumF-G243.031.251.66-0.124.73-1.710.501.634.221.140.3010.31
53Richaun HolmesF251.191.250.110.172.44-1.250.082.631.670.440.986.92
54Bam AdebayoC-F291.601.240.670.303.69-2.080.332.744.920.660.7910.72
55Eric GordonG231.131.240.330.442.00-0.860.150.461.760.240.253.85
56Marcus Morris Sr.F221.621.210.40-0.012.05-0.430.100.790.690.250.043.39
57Donovan MitchellG291.441.200.540.293.23-1.790.061.024.480.610.187.73
58Julius RandleF-C290.471.19-0.260.462.55-2.080.152.555.000.560.138.71
59De'Andre HunterF-G171.121.170.330.381.67-0.550.160.811.530.250.203.90
60Cameron JohnsonF301.821.170.680.032.37-0.560.121.121.400.470.225.03
61Luka DoncicF-G281.171.170.420.423.97-2.800.141.888.760.670.2912.77
62Rudy GobertC311.661.160.670.172.47-0.81-0.403.201.290.151.277.57
63Lauri MarkkanenF-C141.061.140.160.241.54-0.480.010.580.200.200.142.18
64Tyrese HaliburtonG271.591.140.770.322.66-1.070.061.134.250.880.458.30
65Davis BertansF251.681.100.49-0.091.94-0.260.250.930.610.390.143.76
66Jrue HolidayG231.001.100.240.341.63-0.630.050.903.130.910.196.13
67Mike MuscalaF-C291.501.100.690.281.91-0.400.040.870.710.180.123.38
68Kristaps PorzingisF-C161.361.080.300.021.88-0.520.171.200.890.140.574.16
69Ivica ZubacC311.511.080.660.222.12-0.610.122.050.980.270.305.12
70Malcolm BrogdonG291.381.060.750.433.03-1.650.201.566.630.830.1410.55
71Myles TurnerC-F271.911.060.990.142.81-0.910.161.780.820.711.837.05
72Naz ReidC-F281.141.060.370.282.05-0.900.021.411.190.360.544.65
73Wayne EllingtonG230.881.060.070.251.19-0.31-0.050.370.930.220.082.49
74Bojan BogdanovicF300.661.040.160.541.60-0.940.100.811.570.310.023.37
75Fred VanVleetG310.871.02-0.090.072.41-1.540.331.417.541.260.4111.49
76Clint CapelaC271.681.020.900.242.58-0.90-0.343.820.810.500.807.61
77Collin SextonG241.551.020.750.223.22-1.660.030.572.520.700.075.41
78Brook LopezC310.781.010.180.411.30-0.530.071.590.470.400.653.89
79Mike ConleyG240.621.000.040.431.61-0.990.010.733.690.530.055.63
80Paul MillsapF260.891.000.110.231.41-0.52-0.091.381.420.470.244.39
81Jeremy LambG-F161.141.000.310.171.60-0.460.180.820.660.370.183.17
82Evan FournierG-F160.930.990.190.261.84-0.920.090.402.770.390.044.52
83Monte MorrisG291.420.990.540.111.84-0.42-0.000.582.870.380.115.35
84Michael Porter Jr.F201.130.970.250.081.67-0.540.051.350.520.450.463.91
85Seth CurryG241.400.960.610.172.12-0.730.140.452.070.390.104.42
86Damion LeeG-F302.010.961.260.212.31-0.300.190.771.260.450.024.52
87Enes KanterC290.860.960.070.171.43-0.58-0.053.371.210.390.516.34
88Jalen BrunsonG251.430.950.590.112.00-0.570.210.593.000.150.005.17
89Deandre AytonC290.990.940.170.122.70-1.72-0.104.332.090.190.608.20
90Andrew WigginsF310.630.92-0.220.071.94-1.31-0.121.572.230.510.575.50
91Garrison MathewsG220.600.880.120.410.70-0.100.090.240.740.410.062.05
92Saddiq BeyF280.740.880.110.251.29-0.550.060.790.840.300.012.68
93Kyle AndersonF-G260.710.860.030.181.64-0.920.081.282.220.600.335.15
94Daniel TheisF-C280.500.86-0.190.161.35-0.85-0.141.601.080.330.494.00
95Domantas SabonisF-C291.140.840.640.353.47-2.33-0.173.595.460.940.4311.57
96Josh HartG300.420.83-0.090.320.83-0.41-0.072.291.930.470.185.28
97Serge IbakaF310.870.830.220.181.72-0.850.051.891.590.150.525.02
98OG AnunobyF201.080.830.370.112.17-1.09-0.071.251.080.880.204.50
99Thomas BryantC-F101.530.800.790.061.74-0.21-0.200.980.570.080.173.34
100Brandon ClarkeF221.060.790.320.051.37-0.31-0.101.221.100.550.244.17