PickALeague.com

2022 MLS WAR: the wins every player adds

WAR — wins above replacement — says how many wins a player adds to his team over a replacement player. MLS publishes none: ours starts from American Soccer Analysis goals added (g+), the value in goals of each of a player's actions, turned into standings points, then wins.

Caveat: a goalkeeper's WAR rests mostly on his saves against post-shot expected goals, a measure that varies a lot from season to season. A single goalkeeper season should be read with care; the ratings, over four seasons, are steadier.

#Player
1Andre BlakePHI · GK · 313.817.895-0.06—————2.030.030.13-0.020.041.613394
2Đorđe PetrovićNE · GK · 223.416.298-0.01—————2.410.010.02-0.010.030.982065
3Aljaž IvačičPOR · GK · 282.913.589-0.10—————1.270.030.020.060.051.523208
4Brad StuverATX · GK · 312.612.2920.10—————1.040.020.03-0.01-0.011.433004
5Dayne St. ClairMIN · GK · 252.411.1850.00—————0.700.010.100.070.011.473094
6Eloy RoomCLB · GK · 332.311.082-0.13—————0.860.040.11-0.13-0.031.613398
7Maarten PaesDAL · GK · 241.88.447-0.15—————0.77-0.04-0.16-0.14-0.011.513189
8Steve ClarkHOU · GK · 361.77.969-0.07—————0.470.03-0.10-0.13-0.061.543237
9Stefan FreiSEA · GK · 361.78.063-0.03—————0.63-0.07-0.100.000.001.272679
10Drake CallenderMIA · GK · 241.67.479-0.02—————0.43-0.020.09-0.02-0.051.142392
11Sean JohnsonNYC · GK · 331.57.260-0.01—————-0.07-0.040.03-0.010.021.603378
12Hany MukhtarNSH · ST · 271.57.0990.190.310.210.33-0.040.18—————0.313082
13Joe WillisNSH · GK · 331.46.566-0.09—————-0.140.05-0.030.08-0.021.513178
14Alex BonoTOR · GK · 281.46.5730.01—————0.29-0.070.010.04-0.031.132386
15Zac MacMathRSL · GK · 301.46.5500.14—————-0.31-0.14-0.040.110.021.603361
16Gabriel SloninaCHI · GK · 181.36.240-0.18—————0.190.00-0.03-0.15-0.011.513181
17Carles GilNE · AM · 291.25.7980.57-0.240.60-0.050.000.10—————0.233181
18Carlos CoronelRBNY · GK · 251.15.3560.00—————-0.570.030.040.020.031.573302
19Maxime CrépeauLAFC · GK · 281.15.353-0.03—————-0.590.040.020.090.031.573297
20José CifuentesLAFC · CM · 231.15.2990.350.310.160.120.040.00—————0.112557
21Diego RubioCOL · AM · 291.04.7920.240.34-0.030.120.040.08—————0.202670
22Luciano AcostaCIN · AM · 281.04.7990.420.36-0.060.05-0.020.04—————0.202708
23Thiago AlmadaATL · AM · 210.94.4970.41-0.040.330.16-0.08-0.04—————0.192622
24James PantemisMTL · GK · 250.83.776-0.06—————0.260.010.040.010.010.521104
25Bill TuilomaPOR · CB · 270.83.6980.140.150.000.150.270.04—————0.032532
26Michael BradleyTOR · DM · 340.83.8980.35-0.130.27-0.070.25-0.01—————0.143348
27Luiz AraújoATL · W · 260.84.0900.03-0.070.530.23-0.040.00—————0.182382
28Andreu FontàsSKC · CB · 320.73.4990.28-0.010.100.040.190.08—————0.032672
29Emanuel ReynosoMIN · AM · 260.73.5880.30-0.080.12-0.010.040.17—————0.202718
30Ryan GauldVAN · AM · 260.73.5860.150.150.070.080.090.00—————0.182435
31Maxi MoralezNYC · AM · 350.73.3820.42-0.020.13-0.040.07-0.02—————0.172321
32Jordan MorrisSEA · W · 270.73.176-0.130.450.060.060.020.01—————0.182500
33Taty CastellanosNYC · ST · 230.73.497-0.030.280.050.120.020.12—————0.161590
34ChicharitoLA · ST · 340.73.564-0.080.260.050.03-0.070.25—————0.292811
35Kristijan KahlinaCLT · GK · 290.62.8440.06—————-1.100.010.030.15-0.021.463081
36Roman CelentanoCIN · GK · 210.62.937-0.07—————-0.450.01-0.08-0.04-0.021.272674
37Walker ZimmermanNSH · CB · 290.62.8780.130.200.070.120.08-0.05—————0.042784
38Santiago RodríguezNYC · AM · 220.62.9940.020.030.34-0.020.010.02—————0.202667
39Talles MagnoNYC · W · 200.63.181-0.070.250.160.11-0.060.05—————0.212823
40Sebastián BlancoPOR · AM · 340.62.6890.45-0.070.100.01-0.090.00—————0.152010
41Cucho HernándezCLB · ST · 230.63.1700.190.010.140.170.00-0.02—————0.151445
42Cristian ArangoLAFC · ST · 270.62.7840.030.10-0.160.160.140.03—————0.262562
43Mikael UhrePHI · ST · 270.63.0880.090.000.240.07-0.060.13—————0.181758
44Pedro GalleseORL · GK · 320.52.321-0.20—————-0.700.00-0.170.000.041.523200
45Alan FrancoATL · CB · 250.52.4960.22-0.070.120.010.120.06—————0.042993
46Jack ElliottPHI · CB · 260.52.495-0.110.03-0.090.040.62-0.01—————0.043167
47Andrew GutmanATL · FB · 250.52.356-0.050.330.030.11-0.020.01—————0.082162
48Lassi LappalainenMTL · FB · 230.52.492-0.010.230.080.09-0.020.04—————0.082097
49Brandon ByeNE · FB · 260.52.1870.010.23-0.040.070.040.03—————0.112806
50Pedro SantosCLB · FB · 340.52.3800.43-0.110.010.000.040.03—————0.102570
How it's calculated

Goals added: every on-ball action (passing, receiving, dribbling, shooting, interrupting, fouling; for a goalkeeper, shot stopping, claiming, sweeping, handling, distribution) changes the probability that the team scores or concedes. American Soccer Analysis sums it, in goals, above the position average.

Replacement: the position average is not the right zero. We measure the per-minute output of bench players in each position group (300 to 1,000 minutes over the season, prorated to games played); every player is credited with the gap between the average and that level, by his minutes (the “Repl.” column).

Conversion: 0.636 standings point per goal of differential (the regression of points per game on goal differential per game, every season since 2021), then 3 points = 1 win, a win's value in the standings.

Data: American Soccer Analysis (goals added, xG, xPass) and ESPN. PickALeague calculations.