2025 MLS stats: every player, position by position
Regular-season stats, as totals, by position group: goals, assists, expected goals, shots, key passes and passing for outfield players; saves, shots faced and goals conceded for goalkeepers. Pick a position group or a team, click a header to sort.
| # | Player | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Lionel MessiMIA · ST · 38 | 29 | 16 | 24.1 | 13.1 | 157 | 71 | +4.9 | 79.0 | 3.7 | .524 | 2720 |
| 2 | Sam SurridgeNSH · ST · 26 | 24 | 3 | 26.8 | 4.7 | 108 | 26 | -2.8 | 69.4 | -3.8 | .196 | 3266 |
| 3 | Petar MusaDAL · ST · 27 | 18 | 6 | 14.7 | 5.0 | 77 | 30 | +3.3 | 67.4 | -4.2 | .087 | 2585 |
| 4 | Dejan JoveljicSKC · ST · 25 | 18 | 2 | 14.2 | 2.6 | 69 | 30 | +3.8 | 71.9 | -7.9 | -.132 | 3090 |
| 5 | Eric Maxim Choupo-MotingRBNY · ST · 36 | 17 | 3 | 13.9 | 3.8 | 59 | 36 | +3.1 | 75.1 | -1.4 | -.038 | 3088 |
| 6 | Alonso MartínezNYC · ST · 26 | 17 | 1 | 22.1 | 1.9 | 102 | 19 | -5.1 | 72.4 | -5.7 | .085 | 2745 |
| 7 | Hugo CuypersCHI · ST · 28 | 17 | 2 | 22.1 | 4.2 | 83 | 30 | -5.1 | 72.3 | -4.0 | .085 | 3118 |
| 8 | Brian WhiteVAN · ST · 29 | 16 | 1 | 15.5 | 1.3 | 54 | 10 | +0.5 | 74.8 | -6.8 | .089 | 1855 |
| 9 | Martín OjedaORL · ST · 26 | 16 | 9 | 12.9 | 9.5 | 105 | 94 | +3.1 | 78.8 | 3.6 | .076 | 2972 |
| 10 | Hany MukhtarNSH · ST · 30 | 16 | 8 | 16.9 | 10.8 | 123 | 89 | -0.9 | 79.4 | 2.5 | .086 | 3340 |
| 11 | Tai BariboPHI · ST · 27 | 16 | 2 | 13.9 | 1.5 | 55 | 19 | +2.1 | 77.6 | -3.1 | .028 | 2055 |
| 12 | Kévin DenkeyCIN · ST · 24 | 15 | 1 | 13.8 | 2.6 | 77 | 24 | +1.2 | 83.7 | 0.7 | -.044 | 2505 |
| 13 | Danny MusovskiSEA · ST · 29 | 14 | 4 | 14.8 | 1.0 | 54 | 9 | -0.8 | 79.5 | -3.0 | .102 | 1745 |
| 14 | Josef MartínezSJ · ST · 32 | 14 | 2 | 13.6 | 1.4 | 55 | 17 | +0.4 | 86.8 | -0.6 | .054 | 2111 |
| 15 | Cristian ArangoSJ · ST · 30 | 13 | 3 | 16.0 | 3.6 | 124 | 27 | -3.0 | 70.7 | -4.1 | .060 | 2839 |
| 16 | Prince OwusuMTL · ST · 28 | 13 | 3 | 17.6 | 4.2 | 83 | 31 | -4.6 | 67.0 | -9.8 | .102 | 3120 |
| 17 | Rafael NavarroCOL · ST · 25 | 12 | 3 | 16.8 | 6.2 | 88 | 29 | -4.8 | 66.8 | -6.7 | .098 | 2974 |
| 18 | Milan IloskiSD · ST · 25 | 12 | 5 | 6.1 | 3.2 | 60 | 17 | +5.9 | 70.9 | 0.0 | .174 | 1240 |
| 19 | Idan ToklomatiCLT · ST · 20 | 11 | 3 | 10.6 | 3.1 | 42 | 20 | +0.4 | 79.4 | -2.1 | -.011 | 2041 |
| 20 | Tani OluwaseyiMIN · ST · 25 | 10 | 7 | 10.8 | 4.3 | 62 | 22 | -0.8 | 69.1 | -6.0 | -.039 | 2049 |
| 21 | Ezequiel PonceHOU · ST · 28 | 10 | 0 | 13.6 | 1.1 | 81 | 11 | -3.6 | 81.3 | -1.4 | -.055 | 2989 |
| 22 | João KlaussSTL · ST · 28 | 10 | 2 | 12.0 | 4.1 | 100 | 32 | -2.0 | 73.0 | -0.9 | .067 | 2695 |
| 23 | Luis SuárezMIA · ST · 38 | 10 | 9 | 13.8 | 8.6 | 80 | 47 | -3.8 | 77.6 | -1.5 | .031 | 2535 |
| 24 | Luis MurielORL · ST · 34 | 9 | 5 | 8.7 | 6.1 | 77 | 44 | +0.3 | 69.9 | -3.5 | .023 | 2330 |
| 25 | Kelvin YeboahMIN · ST · 25 | 9 | 0 | 12.9 | 1.1 | 62 | 13 | -3.9 | 67.5 | -5.9 | .015 | 2266 |
| 26 | Christian BentekeDC · ST · 34 | 9 | 3 | 14.3 | 2.3 | 78 | 17 | -5.3 | 63.1 | -1.7 | .130 | 2092 |
| 27 | Darren YapiCOL · ST · 20 | 8 | 2 | 6.3 | 1.7 | 29 | 15 | +1.7 | 67.6 | -5.5 | .012 | 1593 |
| 28 | Ramiro EnriqueORL · ST · 24 | 8 | 0 | 7.3 | 0.3 | 30 | 5 | +0.7 | 75.4 | -2.8 | .055 | 1123 |
| 29 | Emmanuel Latte LathATL · ST · 26 | 7 | 0 | 10.9 | 1.6 | 58 | 19 | -3.9 | 70.0 | -4.5 | -.059 | 2441 |
| 30 | Leonardo CampanaNE · ST · 24 | 7 | 0 | 8.1 | 0.9 | 64 | 14 | -1.1 | 76.3 | -2.9 | -.007 | 1841 |
| 31 | Kevin KelsyPOR · ST · 20 | 7 | 0 | 6.8 | 0.9 | 35 | 12 | +0.2 | 75.1 | -4.9 | -.123 | 1807 |
| 32 | Bruno DamianiPHI · ST · 23 | 7 | 1 | 12.1 | 2.4 | 73 | 27 | -5.1 | 69.7 | -3.4 | .100 | 2257 |
| 33 | Jacen Russell-RoweCLB · ST · 22 | 7 | 1 | 6.7 | 3.4 | 48 | 23 | +0.3 | 74.4 | -4.8 | -.074 | 1912 |
| 34 | Preston JuddSJ · ST · 26 | 6 | 2 | 6.5 | 2.8 | 40 | 10 | -0.5 | 58.6 | -10.4 | .171 | 1253 |
| 35 | Patrick AgyemangCLT · ST · 24 | 6 | 0 | 6.0 | 2.6 | 35 | 17 | 0.0 | 77.5 | -2.9 | .078 | 1316 |
| 36 | Myrto UzuniATX · ST · 30 | 6 | 3 | 9.5 | 2.6 | 54 | 19 | -3.5 | 81.3 | 1.1 | -.004 | 2302 |
| 37 | Mikael UhrePHI · ST · 30 | 6 | 6 | 5.7 | 4.5 | 43 | 22 | +0.3 | 68.6 | -3.5 | .008 | 1489 |
| 38 | Brandon VázquezATX · ST · 26 | 5 | 0 | 9.9 | 0.8 | 54 | 8 | -4.9 | 64.1 | -7.5 | .037 | 1734 |
| 39 | Felipe MoraPOR · ST · 31 | 5 | 2 | 8.7 | 1.6 | 37 | 13 | -3.7 | 72.4 | -5.5 | -.050 | 1838 |
| 40 | Nathan OrdazLAFC · ST · 21 | 5 | 3 | 6.4 | 2.2 | 28 | 22 | -1.4 | 82.4 | -0.7 | -.124 | 1474 |
| 41 | Jamal ThiaréATL · ST · 32 | 5 | 0 | 6.3 | 0.6 | 34 | 2 | -1.3 | 70.3 | -3.0 | -.028 | 1185 |
| 42 | Logan FarringtonDAL · ST · 23 | 5 | 3 | 3.4 | 1.6 | 29 | 14 | +1.6 | 74.7 | -1.7 | -.015 | 1769 |
| 43 | Tomás ChancalayNE · ST · 26 | 4 | 2 | 6.3 | 2.6 | 53 | 18 | -2.3 | 71.9 | -4.7 | .038 | 1353 |
| 44 | Christian RamírezLA · ST · 34 | 4 | 1 | 5.2 | 0.8 | 23 | 10 | -1.2 | 72.6 | -3.4 | .036 | 1079 |
| 45 | Deandre KerrTOR · ST · 22 | 4 | 0 | 1.8 | 0.3 | 11 | 2 | +2.2 | 68.7 | -5.8 | -.151 | 1026 |
| 46 | Ibrahim AliyuHOU · ST · 23 | 3 | 2 | 4.0 | 3.2 | 26 | 24 | -1.0 | 80.2 | -0.2 | -.009 | 1562 |
| 47 | Daniel RíosVAN · ST · 30 | 3 | 0 | 7.3 | 1.5 | 42 | 9 | -4.3 | 79.3 | -1.3 | -.065 | 1650 |
| 48 | Cedric TeuchertSTL · ST · 28 | 3 | 1 | 3.8 | 0.9 | 27 | 9 | -0.8 | 67.3 | -5.9 | -.065 | 1365 |
| 49 | Matheus NascimentoLA · ST · 21 | 3 | 1 | 2.8 | 2.2 | 18 | 14 | +0.2 | 68.1 | -9.4 | -.129 | 1309 |
| 50 | Jacob MurrellDC · ST · 21 | 2 | 1 | 2.9 | 0.2 | 16 | 6 | -0.9 | 51.5 | -15.8 | -.085 | 1020 |
How it's calculatedHide the method
Data come from American Soccer Analysis. Expected goals (xG) give every shot its probability of becoming a goal, from its location and type; expected assists (xA), that of the pass leading to it. “xPass +” compares completed passes with what their difficulty predicted, per 100 passes. Goals added (g+) value every on-ball action, in goals, above the position average. For a goalkeeper, G−xG compares goals conceded with the post-shot expected goals of shots on target: lower is better.
“Regulars”: 1,000 minutes over a 34-game season, prorated to the games played. A player appears from 300 minutes (same proration).
Data: American Soccer Analysis (goals added, xG, xPass) and ESPN. PickALeague calculations.