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 | 501-550 | 551-565

Win Probability Added (WPA)Other WPA
RnkPlayerPosTeamGmsWPAeWPAclWPAgbWPASHTOFTREBASTSTLBLKkWPA
51Dennis SchroderGOKC532.271.641.060.436.25-3.990.521.766.510.720.4711.73
52Tobias HarrisFPHI552.262.340.680.764.53-2.270.053.175.310.910.6812.33
53Landry ShametGLAC382.251.780.790.322.86-0.610.210.571.760.370.105.05
54Devin BookerGPHX522.232.820.811.397.32-5.091.331.8810.521.050.2315.92
55Lou WilliamsGLAC522.230.391.52-0.335.72-3.490.681.339.651.210.2314.66
56Kemba WalkerGBOS452.222.540.590.914.96-2.730.671.847.470.980.4012.91
57Richaun HolmesFSAC372.202.080.500.383.36-1.160.153.570.980.991.178.91
58Buddy HieldGSAC542.191.940.950.705.66-3.470.212.884.811.260.5511.70
59Jonas ValanciunasCMEM502.182.050.610.474.22-2.040.015.022.830.531.0311.59
60Evan FournierG-FORL532.172.61-0.020.425.02-2.850.191.205.421.510.1510.45
61Kentavious Caldwell-PopeGLAL532.091.570.670.152.95-0.860.111.152.521.250.127.13
62Jaylen BrownG-FBOS442.072.070.550.554.68-2.61-0.092.562.721.230.278.84
63Trae YoungGATL502.062.270.951.167.71-5.651.071.8011.951.480.0817.37
64Gordon HaywardFBOS371.981.770.750.553.42-1.440.162.204.340.550.279.34
65Christian WoodFDET531.982.300.520.853.38-1.40-0.243.051.250.370.747.40
66Jordan ClarksonGUTA231.971.360.850.232.51-0.530.060.591.230.330.094.22
67CJ McCollumGPOR501.911.780.510.374.08-2.17-0.011.906.340.910.5411.60
68Marvin WilliamsFCHA411.910.871.01-0.032.71-0.800.150.991.590.570.365.42
69Russell WestbrookGHOU451.91-0.491.77-0.645.99-4.080.403.4011.091.840.3818.62
70Steven AdamsCOKC491.900.741.05-0.113.66-1.76-0.545.964.131.101.0014.08
71Domantas SabonisF-CIND521.901.090.940.135.71-3.810.006.887.940.820.5018.04
72Jimmy ButlerFMIA461.891.880.410.404.53-2.640.463.418.591.860.3516.11
73Derrick WhiteGSAS521.861.120.64-0.103.41-1.550.361.594.900.810.9610.12
74Shai Gilgeous-AlexanderG-FOKC541.831.940.650.755.09-3.250.343.095.342.140.6613.06
75George HillGMIL441.831.910.300.382.47-0.640.121.233.230.810.097.19
76Kawhi LeonardFLAC421.762.280.280.805.17-3.410.672.687.171.940.5314.07
77Michael Porter Jr.FDEN381.731.000.890.172.26-0.530.041.650.840.350.424.98
78Harrison BarnesFSAC541.721.810.530.623.65-1.930.222.613.560.840.128.85
79Nerlens NoelC-FOKC461.721.410.450.142.92-1.200.112.611.511.181.058.06
80Alec BurksGGSW471.711.370.950.613.49-1.790.832.073.951.050.359.13
81Fred VanVleetGTOR451.711.021.020.334.22-2.510.311.349.202.430.2014.87
82Tony SnellGDET501.701.690.430.422.34-0.640.070.722.850.560.216.04
83Dwight PowellF-CDAL401.691.520.390.222.43-0.74-0.212.371.750.670.336.81
84Josh HartGNOP451.691.110.710.132.96-1.27-0.062.912.631.250.298.76
85Terence DavisGTOR551.641.320.890.562.58-0.940.081.862.350.990.187.02
86Jordan ClarksonGCLE291.631.190.34-0.102.47-0.840.170.762.720.270.085.47
87D'Angelo RussellGGSW321.630.960.65-0.014.09-2.460.071.054.580.640.168.06
88Daniel TheisF-CBOS481.631.150.44-0.042.54-0.91-0.073.232.310.731.339.23
89Danny GreenGLAL521.601.070.48-0.052.67-1.080.001.671.861.510.346.98
90DeAndre JordanCBKN451.560.950.680.082.92-1.36-0.134.612.960.510.9310.58
91Dorian Finney-SmithFDAL541.551.380.440.272.85-1.30-0.163.662.630.870.659.35
92Jeremy LambG-FIND441.531.120.550.143.07-1.540.231.742.861.210.387.72
93Aron BaynesC-FPHX331.470.840.770.142.47-1.00-0.031.972.010.180.386.00
94Eric GordonGHOU271.460.720.740.002.00-0.54-0.050.541.460.410.144.01
95Bryn ForbesGSAS541.441.610.160.332.83-1.380.131.022.350.550.005.37
96Bam AdebayoC-FMIA531.441.050.870.474.57-3.12-0.315.798.921.311.1518.61
97Kevin HuerterG-FATL451.440.560.940.063.39-1.950.101.624.540.860.448.90
98Jaxson HayesC-FNOP491.441.590.260.412.34-0.90-0.432.091.700.560.776.57
99JaVale McGeeC-FLAL511.411.310.310.212.04-0.62-0.162.590.730.431.186.34
100P.J. TuckerFHOU521.390.420.97-0.002.64-1.250.163.562.621.740.459.76