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 | 551-589

Win Probability Added (WPA)Other WPA
RnkPlayerPosTeamGmsWPAeWPAclWPAgbWPASHTOFTREBASTSTLBLKkWPA
51Carmelo AnthonyNYK400.781.070.150.443.08-2.300.212.893.341.090.268.36
52Kawhi LeonardFSAS641.512.19-0.250.443.70-2.200.154.174.463.410.8314.38
53Charlie VillanuevaFDAL630.120.81-0.270.430.65-0.53-0.081.140.600.360.362.58
54Bojan BogdanovicFBKN781.371.180.620.433.15-1.780.122.141.640.830.166.15
55Mike ConleyGMEM702.150.931.660.436.51-4.350.542.0510.052.700.2517.20
56Wesley MatthewsGPOR603.002.920.510.425.09-2.09-0.022.214.752.340.1212.41
57Serge IbakaFOKC640.891.31-0.010.413.56-2.670.125.191.680.612.9311.30
58Meyers LeonardF-CPOR551.181.080.490.391.92-0.740.071.890.880.220.204.37
59Wayne EllingtonGLAL65-0.560.53-0.700.380.80-1.360.081.923.440.920.045.76
60Brandon KnightGMIL52-0.070.040.270.384.09-4.160.802.017.201.950.1711.27
61Chandler ParsonsFDAL652.362.460.290.385.15-2.78-0.133.213.981.780.3111.64
62Hassan WhitesideCMIA481.701.530.540.383.12-1.43-0.904.920.180.712.089.59
63Enes KanterCOKC260.891.260.010.382.08-1.190.073.450.910.310.315.88
64Greg MonroeCDET69-0.310.51-0.440.383.75-4.06-0.507.314.081.980.6513.71
65Anthony MorrowGOKC744.743.321.800.375.55-0.810.251.662.161.130.219.91
66Alonzo GeeDEN39-0.130.230.010.370.38-0.51-0.060.550.280.390.061.15
67Mike MuscalaF-CATL400.270.530.110.370.63-0.36-0.010.810.450.370.212.11
68Robin LopezCPOR590.600.750.210.362.42-1.81-0.084.791.650.401.418.85
69Anthony TolliverFDET520.531.07-0.180.351.36-0.83-0.041.611.110.460.213.92
70John JenkinsGATL240.180.59-0.060.350.26-0.08-0.000.190.240.070.000.68
71Andrew WigginsFMIN82-1.20-0.26-0.600.343.45-4.660.164.124.462.271.1410.79
72Quincy AcyNYK68-0.57-0.05-0.180.330.53-1.09-0.012.221.690.460.193.99
73Andre DrummondCDET82-0.59-0.400.140.332.48-3.08-2.9811.741.332.102.5817.15
74Paul MillsapFATL730.861.26-0.070.334.52-3.66-0.035.346.393.291.3917.27
75Avery BradleyGBOS770.370.430.260.323.41-3.040.032.393.542.000.208.50
76Tim DuncanC-FSAS771.161.060.410.324.60-3.44-0.467.766.571.823.1520.45
77Andrea BargnaniNYK29-0.310.33-0.330.310.62-0.930.191.260.970.030.472.42
78Rodney StuckeyIND71-0.300.26-0.250.312.82-3.120.262.026.571.340.229.84
79Amar'e StoudemireF-CNYK360.170.55-0.070.311.85-1.67-0.032.771.080.460.575.05
80Andre IguodalaG-FGSW770.830.490.650.312.62-1.79-0.342.187.372.170.3312.89
81Devin HarrisGDAL751.150.810.640.313.22-2.070.171.167.982.020.1912.50
82Timofey MozgovCCLE460.790.850.240.312.13-1.350.013.000.910.380.755.83
83Ersan IlyasovaFMIL581.401.540.150.302.37-0.97-0.383.331.840.940.257.75
84Luis ScolaIND81-0.55-0.13-0.130.301.69-2.24-0.444.943.430.940.299.05
85Rasual ButlerWAS750.780.920.150.291.78-0.99-0.161.901.760.660.445.55
86Marc GasolCMEM813.211.501.990.297.76-4.550.376.189.681.772.7323.57
87Jeff GreenFBOS330.230.72-0.210.291.68-1.450.481.341.700.650.164.07
88Cory JosephGSAS790.760.670.370.282.12-1.37-0.161.635.261.010.298.94
89Kemba WalkerGCHA62-0.48-0.230.030.281.99-2.470.582.188.012.240.6912.65
90Isaiah CanaanPHI22-0.710.13-0.560.280.28-0.990.110.501.940.370.042.15
91Ben McLemoreGSAC820.930.980.230.273.95-3.010.272.103.341.570.318.26
92Markieff MorrisFPHX820.610.000.880.275.63-5.020.075.366.312.711.0816.07
93Brandon BassFBOS821.281.370.170.273.22-1.940.164.503.240.870.7010.58
94Omri CasspiSAC670.630.570.320.262.48-1.850.012.442.650.810.136.65
95Jared SullingerBOS58-0.190.15-0.070.262.29-2.47-0.224.884.941.010.5711.21
96NeneC-FWAS67-1.32-0.43-0.630.262.03-3.35-0.743.293.161.580.447.15
97Kentavious Caldwell-PopeGDET820.890.610.540.263.11-2.22-0.332.313.112.140.278.72
98LaMarcus AldridgeC-FPOR713.622.201.670.266.89-3.270.817.494.431.381.1318.04
99Darren CollisonGSAC45-0.230.55-0.530.252.76-2.99-0.061.386.191.700.169.20
100Jabari ParkerFMIL25-0.84-0.13-0.470.250.54-1.39-0.041.471.130.850.082.70