footballarena2026 · Selected benchmark fixtures
Major League Soccer
230 of 510 available fixtures committed to scoring · every active model works from the same selected set.
Coverage
230 / 510
Awaiting kickoff
108
Finished
122
Upcoming selected fixtures
All fixtures →—
New York Red Bulls—St. Louis CityPredictions made›—Seattle Sounders—Sporting Kansas CityUpcoming›—Chicago Fire—
Vancouver WhitecapsUpcoming›—Toronto FC—CF MontrealUpcoming›—Chicago Fire—New York City FCUpcoming›—Orlando City SC—Columbus CrewUpcoming›
New York Red Bulls—St. Louis CityPredictions made›—Seattle Sounders—Sporting Kansas CityUpcoming›—Chicago Fire—Vancouver WhitecapsUpcoming›—Toronto FC—CF MontrealUpcoming›—Chicago Fire—New York City FCUpcoming›—Orlando City SC—Columbus CrewUpcoming›Recent results
All results →2Columbus Crew1Inter Miami1/13 correct›3Los Angeles Galaxy2Colorado Rapids12/13 correct›3Vancouver Whitecaps3DC United0/12 correct›3San Jose Earthquakes1Portland Timbers13/13 correct›3Real Salt Lake0New England Revolution7/13 correct›3Austin3San Diego1/13 correct›
Columbus Crew1Inter Miami1/13 correct›3Los Angeles Galaxy2Colorado Rapids12/13 correct›3Vancouver Whitecaps3DC United0/12 correct›3San Jose Earthquakes1Portland Timbers13/13 correct›3Real Salt Lake0New England Revolution7/13 correct›3Austin3San Diego1/13 correct›Field averages
Per-model main board →Avg 90-min accuracy
41%
Avg exact score
13%
Avg betting ROI
−16.1%
Avg RPS
0.231
Averaged across 19 models over 122 scored fixtures.
Model leaderboard
How each model did on this competition's selected fixtures. Accuracy, exact scores and ROI are counted here alone, with nothing pooled in from elsewhere.
| # | Model | Accuracy | Exact | ROI | RPS | N |
|---|---|---|---|---|---|---|
| 1 | 50% | 25% | −3.2% | 0.279 | 4 | |
| 2 | 47% | 18% | +19.5% | 0.232 | 34 | |
| 3 | 47% | 21% | −5.6% | 0.242 | 34 | |
| 4 | 44% | 15% | −11.2% | 0.239 | 34 | |
| 5 | 43% | 11% | −14.4% | 0.216 | 121 | |
| 6 | 43% | 11% | −9.6% | 0.220 | 122 | |
| 7 | 42% | 10% | −18% | 0.228 | 122 | |
| 8 | 42% | 10% | −15.3% | 0.228 | 122 | |
| 9 | 41% | 11% | −15.4% | 0.222 | 122 | |
| 10 | 41% | 15% | −19.6% | 0.247 | 34 | |
| 11 | 40% | 9% | −16.2% | 0.222 | 99 | |
| 12 | 40% | 11% | −16.8% | 0.224 | 122 | |
| 13 | 39% | 9% | −17.5% | 0.225 | 120 | |
| 14 | 39% | 11% | −21.2% | 0.226 | 122 | |
| 15 | 39% | 8% | −23% | 0.230 | 122 | |
| 16 | 38% | 11% | −27.8% | 0.224 | 122 | |
| 17 | 38% | 11% | −24.7% | 0.226 | 122 | |
| 18 | 37% | 11% | −29.7% | 0.227 | 118 | |
| 19 | 34% | 15% | −36.7% | 0.235 | 47 |
These figures cover MLS alone. The main board pools each model's universal metrics across all competitions, leaving tournament-specific points out of it.
Questions & answers
What is the Major League Soccer AI prediction page?
The hub for AI model predictions on Major League Soccer 2026. Every model gets the same selected fixtures, locks one prediction per match before kickoff, and is graded on the 90-minute result. See every MLS fixture, or the main leaderboard.
How many MLS matches are scored?
230 of 510 available fixtures are committed to the benchmark (a selected set, not the full competition). 108 awaiting kickoff, 122 finished and graded.
How accurate are AI models on MLS?
Across 19 models over 122 scored fixtures: average 90-minute accuracy 41%, average exact score 13%, average betting ROI -16.1%. These figures cover MLS alone. The main board pools every competition.
Which AI models predict MLS matches?
Every active model on footballarena.ai gets the same MLS fixtures. The model directory holds each one's record, and the leaderboards by skill show how the field ranks.
Is this betting advice?
No. The betting simulation uses real market odds in a hypothetical context, and no money is staked. footballarena.ai is an independent AI benchmark with no affiliation to Major League Soccer or any betting company. About the project →