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 | 451-456

Win Probability Added (WPA)Other WPA
RnkPlayerPosGmsWPAeWPAclWPAgbWPASHTOFTREBASTSTLBLKkWPA
51Leandro BarbosaG822.753.270.380.915.62-2.880.282.286.061.710.3013.09
52Josh Howard762.912.390.710.195.58-2.660.564.784.241.380.5513.86
53Kevin GarnettF712.032.64-0.150.465.57-3.530.226.046.712.721.5119.01
54David WestF760.961.26-0.210.095.41-4.450.667.226.171.831.6517.83
55Linas KleizaF793.532.061.930.465.30-1.78-0.032.852.471.200.4010.46
56John Salmons810.730.260.580.115.28-4.550.663.507.082.400.5014.22
57Anthony ParkerG823.342.811.170.645.22-1.890.132.844.921.730.3313.16
58Tyson ChandlerC792.202.020.680.495.16-2.97-0.8710.072.141.121.5717.09
59Raja BellG753.472.381.190.105.13-1.660.272.554.091.350.4311.89
60Mehmet Okur722.651.721.180.254.92-2.270.274.993.511.450.6613.25
61Dwyane WadeG51-1.30-0.44-0.660.204.91-6.210.202.1910.312.810.9214.93
62Ronnie BrewerF763.072.890.620.444.85-1.790.142.473.202.810.3311.87
63Josh Smith81-1.03-1.380.610.264.84-5.87-0.536.496.913.084.2019.65
64Jamal CrawfordG80-0.491.04-0.910.624.81-5.300.851.9010.332.250.3014.29
65Richard HamiltonG721.821.560.630.364.78-2.960.362.537.431.900.1513.82
66Tony ParkerG690.910.550.460.104.66-3.75-0.592.1512.201.860.1217.23
67Andris Biedrins762.762.360.680.284.66-1.90-0.678.612.481.311.6116.77
68Emeka OkaforC820.160.340.210.404.65-4.49-1.869.382.091.733.1816.54
69Andrei Kirilenko720.980.690.560.274.64-3.660.133.407.032.011.9815.40
70Al HarringtonF812.312.190.07-0.054.64-2.320.204.213.891.800.2712.47
71Andre MillerG82-0.77-0.11-0.510.154.62-5.390.433.5213.222.560.0818.61
72Grant HillF702.291.760.620.084.60-2.310.393.276.241.631.0214.45
73Devin HarrisG640.290.530.080.324.58-4.290.431.5910.542.250.2814.96
74J.R. SmithG-F742.152.390.540.784.54-2.39-0.401.212.861.220.097.54
75Marvin WilliamsF801.370.780.46-0.124.50-3.130.604.413.532.060.7112.08
76Lamar OdomF770.621.29-0.440.234.49-3.88-0.648.027.461.691.2119.00
77DeShawn StevensonF-G821.730.910.830.014.49-2.750.472.186.561.540.4512.46
78Ryan Gomes821.841.310.740.214.48-2.640.504.643.771.530.2211.99
79Andres Nocioni820.811.290.140.614.41-3.600.083.052.760.770.708.09
80Shane BattierF802.511.451.070.014.40-1.890.114.204.302.021.6314.66
81David LeeF-C811.892.100.410.624.33-2.440.318.162.841.370.5514.81
82Rashad McCantsG750.050.48-0.030.404.17-4.12-0.011.964.321.720.268.31
83Beno UdrihG650.14-0.370.750.244.14-4.000.452.328.641.540.2112.85
84Derek FisherG822.161.660.730.234.12-1.960.391.566.462.250.0512.49
85LaMarcus AldridgeC-F760.990.910.630.564.12-3.13-0.047.433.591.271.8915.17
86Jarrett JackG82-0.54-0.670.160.034.12-4.660.512.319.301.760.0312.85
87Brad MillerC-F72-0.32-0.03-0.110.184.11-4.430.787.738.112.031.4318.98
88Ricky Davis82-1.13-0.36-0.750.024.09-5.21-0.043.147.342.320.2011.87
89Troy Murphy751.751.900.150.314.07-2.330.244.625.201.230.6613.46
90Sasha VujacicG722.752.211.100.564.04-1.280.171.292.270.990.077.38
91Andrew BogutC78-0.73-0.51-0.200.024.03-4.76-1.608.626.241.682.6818.50
92Mikki MooreF-C821.111.150.180.224.01-2.90-0.145.332.230.840.7610.27
93Daniel GibsonG581.901.340.850.294.00-2.100.081.514.771.740.1910.11
94Tayshaun PrinceF821.870.900.68-0.283.97-2.100.074.318.140.980.6115.90
95Kyle KorverG-F752.321.790.830.303.93-1.600.611.432.410.990.507.65
96Michael FinleyG-F822.411.170.91-0.333.92-1.510.232.213.310.650.138.72
97Tracy McGradyG-F66-0.13-1.000.33-0.533.85-3.98-0.522.8811.931.600.4416.72
98Jameer NelsonG690.210.080.410.283.84-3.630.382.1312.101.490.0716.00
99Lou WilliamsG801.07-0.170.94-0.303.78-2.710.211.746.881.920.2911.89
100Gerald WallaceF62-1.570.44-1.480.533.75-5.32-0.203.426.043.551.1612.59