inpredictable
Powered by Blogger.
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
51Tobias HarrisF463.672.781.350.466.21-2.540.642.724.810.920.6412.76
52Saddiq BeyF491.421.750.130.462.40-0.980.111.611.650.690.085.45
53Nassir LittleF-G310.210.650.020.450.38-0.170.040.680.540.040.151.62
54Domantas SabonisF-C470.760.930.280.454.80-4.04-0.265.379.201.690.5617.58
55Gorgui DiengC250.160.61-0.010.440.77-0.610.030.820.660.390.152.18
56Richaun HolmesF452.932.890.470.434.73-1.800.204.832.540.841.6412.77
57Wayne EllingtonG361.411.640.200.431.96-0.55-0.020.541.350.310.113.71
58Norman PowellG463.973.710.680.425.90-1.920.401.283.001.230.209.68
59Jimmy ButlerF341.681.790.310.423.80-2.120.603.098.391.990.2615.42
60Harrison BarnesF473.972.421.970.425.79-1.820.413.225.471.130.1713.97
61Jamal MurrayG473.592.611.390.416.36-2.770.351.557.121.260.2813.81
62Collin SextonG402.851.721.540.415.76-2.900.181.035.031.360.0710.34
63Nicolas BatumG-F481.421.570.250.412.24-0.820.081.883.021.290.247.85
64Mychal MulderG390.120.54-0.010.400.32-0.19-0.050.180.330.090.050.77
65OG AnunobyF331.071.230.240.402.73-1.66-0.111.901.831.270.356.42
66Kendrick NunnG380.680.950.120.401.85-1.170.110.832.400.780.144.83
67Tyrese HaliburtonG442.311.611.100.404.06-1.750.201.596.971.330.6112.81
68Karl-Anthony TownsC-F292.221.970.650.404.93-2.710.643.784.390.611.1512.16
69De'Andre HunterF-G190.981.090.290.391.58-0.600.150.851.550.250.223.85
70Gordon HaywardF442.261.980.670.394.05-1.790.482.155.561.390.2411.60
71Eric GordonG271.091.140.320.382.10-1.010.130.481.920.300.284.07
72Chris PaulG481.891.221.060.385.03-3.140.601.9213.471.830.2119.33
73Kemba WalkerG32-0.530.66-0.810.381.03-1.560.290.924.680.780.296.14
74Jae'Sean TateF511.271.350.300.382.67-1.39-0.122.483.221.040.398.41
75Dwayne BaconG-F51-0.070.37-0.070.370.72-0.800.131.161.780.530.093.48
76Eric PaschallF390.470.540.290.371.35-0.88-0.021.001.340.260.053.12
77Immanuel QuickleyG461.021.210.180.372.09-1.080.410.993.650.610.216.47
78Deandre AytonC482.782.410.740.365.03-2.24-0.056.672.730.461.1013.76
79Anthony DavisF-C231.401.280.490.362.38-0.98-0.172.122.290.960.697.46
80Kelly OlynykF-C491.311.260.410.363.03-1.720.182.723.521.220.669.43
81Kyle AndersonF-G471.031.370.010.362.60-1.570.052.194.191.260.649.29
82Shai Gilgeous-AlexanderG343.512.221.650.356.04-2.530.671.486.940.710.3112.96
83Khris MiddletonF472.142.040.450.355.51-3.370.742.357.441.070.1313.13
84Rui HachimuraF390.831.020.160.352.13-1.300.002.112.270.760.056.02
85Tony BradleyC-F260.250.68-0.090.340.58-0.32-0.030.910.380.110.231.90
86Jaylen NowellG360.650.790.210.341.28-0.620.020.681.480.330.173.31
87Kevin DurantF202.611.911.040.344.49-1.880.551.263.150.350.597.96
88Jaxson HayesC-F390.861.040.160.341.42-0.550.081.210.710.220.243.24
89Jakob PoeltlC490.220.530.020.341.84-1.62-0.554.412.650.931.259.45
90Naz ReidC-F481.841.610.550.333.11-1.27-0.072.121.640.560.857.00
91Clint CapelaC453.301.871.760.334.56-1.26-0.536.551.030.771.5213.17
92Sterling BrownG-F481.041.200.160.321.78-0.730.021.781.860.660.155.49
93Mike MuscalaF-C351.881.330.870.322.35-0.470.051.100.780.200.174.12
94George HillG130.670.640.330.310.91-0.240.150.311.430.330.052.78
95Anthony EdwardsG52-0.48-0.290.110.302.18-2.67-0.132.164.611.300.317.89
96Lonzo BallG410.520.85-0.030.302.47-1.95-0.041.477.271.170.2910.72
97Ivica ZubacC512.101.590.820.303.15-1.050.193.671.600.500.658.52
98Malik MonkG311.751.090.950.302.61-0.860.100.601.830.280.024.48
99Enes KanterC492.491.950.830.293.70-1.210.086.292.530.610.8112.73
100Avery BradleyG16-0.170.17-0.050.290.11-0.290.000.230.640.200.050.94