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xG MLS 2026/27

Expected goals (xG) for and against every team in 404 matches, calculated with the Balonario xG model from every shot (zone, body part, situation and pass type). Updated Sunday 4 October 2026.

Most xG created per game: Vancouver Whitecaps (2.12). Least xG conceded per game: Vancouver Whitecaps (0.92).

xG table by team

#TeamPxGxGADiff.GoalsxG/pxGA/p
1Vancouver Whitecaps2655.124.0+31.059:262.120.92
2Philadelphia Union2749.734.3+15.354:441.841.27
3Nashville2737.229.1+8.055:211.381.08
4St. Louis CITY2740.032.4+7.648:361.481.20
5Colorado Rapids2736.030.5+5.538:381.331.13
6New England Revolution2741.235.8+5.445:361.531.33
7Dallas2736.431.8+4.750:421.351.18
8Chicago Fire2641.036.7+4.346:381.581.41
9LAFC2839.535.5+4.043:301.411.27
10Inter Miami2746.443.0+3.464:501.721.59
11San Jose Earthquakes2742.739.6+3.049:391.581.47
12Minnesota United2740.339.4+0.940:491.491.46
13New York City2737.537.5+0.041:361.391.39
14Columbus Crew2730.030.6-0.639:431.111.13
15Real Salt Lake2735.936.6-0.640:441.331.35
16Houston Dynamo2730.332.6-2.334:321.121.21
17Seattle Sounders2738.240.5-2.335:351.411.50
18D.C. United2638.040.3-2.334:421.461.55
19Charlotte2738.340.8-2.547:381.421.51
20Cincinnati2646.248.8-2.555:641.781.88
21LA Galaxy2841.544.2-2.837:441.481.58
22San Diego2740.243.1-2.947:471.491.60
23Montréal2737.240.2-3.034:541.381.49
24Atlanta United2734.137.6-3.532:451.261.39
25Portland Timbers2737.742.4-4.748:511.401.57
26Red Bull New York2741.147.7-6.634:511.521.77
27Toronto2730.340.3-10.039:511.121.49
28Orlando City2738.149.2-11.048:641.411.82
29Sporting Kansas City2730.047.9-17.932:651.111.77
30Austin2727.445.3-17.935:471.021.68

xG: expected goals for · xGA: expected goals against · sorted by xG difference per game.

Top players by xG

PlayerTeamShotsxGnpxGxAChances created
Brian WhiteVancouver Whitecaps8015.3314.361.8719
Rafael NavarroSt. Louis CITY7913.8110.911.9528
Prince OwusuMontréal6513.477.685.8335
Kévin DenkeyCincinnati5612.829.922.0621
Kelvin YeboahMinnesota United5812.698.832.1118
Lionel MessiInter Miami13412.5611.6010.3760
Milan IloskiPhiladelphia Union9912.217.384.5543
Petar MusaMLS All-Stars7812.119.221.9623
Sam SurridgeMLS All-Stars5311.218.321.1910
Denis BouangaLAFC7810.639.678.1052
Anders DreyerMLS All-Stars7810.346.488.0065
Martín OjedaOrlando City639.695.833.6329
Carles GilMLS All-Stars559.473.686.2973
Germán BerterameInter Miami499.359.353.4625
Simon BecherSt. Louis CITY669.349.342.4322
Julian HallMLS All-Stars489.339.332.6815
Luis SuárezInter Miami459.287.353.0723
EvanderMLS All-Stars849.226.339.2769
Tai BariboD.C. United428.685.781.2016
Pep BielMLS All-Stars558.586.656.0346

npxG: non-penalty xG · xA: expected assists (xG of the shots created by their passes).

All players with xG and xAMLS: standings