MLS: table, results and fixtures
Season Anomaly Rating — Major League Soccer (MLS)
based on analysed matches — 27 cases on file| # | Team | Cases | Avg Crime | Robbed | Stole | Δ xG |
|---|---|---|---|---|---|---|
| 1 | New York Red Bulls | 1 | 96% | 1 | — | +1.76 |
| 2 | New England Revolution | 4 | 80% | 1 | — | +5.09 |
| 3 | Atlanta United FC | 3 | 75% | 1 | 1 | -0.29 |
| 4 | Nashville SC | 2 | 75% | — | 1 | -0.61 |
| 5 | Charlotte | 2 | 74% | — | 1 | -1.27 |
| 6 | Austin | 2 | 74% | — | 1 | -0.99 |
| 7 | Houston Dynamo | 3 | 71% | — | 1 | +0.56 |
| 8 | Inter Miami | 1 | 69% | — | — | -0.58 |
| 9 | Chicago Fire | 1 | 68% | — | — | -0.03 |
| 10 | Los Angeles FC | 2 | 68% | — | — | -0.82 |
| 11 | Seattle Sounders | 3 | 65% | 1 | — | -2.47 |
| 12 | Los Angeles Galaxy | 2 | 65% | — | 1 | -2.11 |
| 13 | Minnesota United FC | 2 | 63% | 2 | — | +1.65 |
| 14 | San Jose Earthquakes | 1 | 62% | 1 | — | +1.00 |
| 15 | Vancouver Whitecaps | 3 | 62% | 1 | — | +3.59 |
| 16 | Colorado Rapids | 1 | 62% | — | 1 | -0.28 |
| 17 | San Diego | 1 | 62% | 1 | — | +0.28 |
| 18 | Toronto FC | 3 | 54% | — | 1 | -3.56 |
| 19 | New York City FC | 3 | 54% | — | 1 | +0.85 |
| 20 | Portland Timbers | 3 | 53% | — | — | +5.21 |
| 21 | CF Montreal | 3 | 50% | — | — | -1.35 |
| 22 | Columbus Crew | 2 | 49% | 1 | — | -0.23 |
| 23 | FC Dallas | 1 | 49% | — | — | -1.48 |
| 24 | DC United | 1 | 48% | — | — | -1.32 |
| 25 | Sporting Kansas City | 2 | 40% | — | 1 | -2.11 |
| 26 | Real Salt Lake | 1 | 36% | — | — | -2.02 |
| 27 | St. Louis City | 1 | 24% | — | — | +1.53 |
The Major League Soccer (MLS) xG table: the biggest over- and underperformers of the season by expected goals.
"Robbed" — lost while winning the xG. "Stole" — won while losing the xG. greyed out — teams with a single case: not enough data to rank.
Bravsen Intelligence automatically monitors Major League Soccer (MLS) matches and publishes a risk report for every statistical anomaly. An investigation opens when a match's Crime Index exceeds 60% — indicating a significant divergence between team xG figures and the actual score. Total for MLS published 27 investigations.
LA Galaxy Beat San Jose Earthquakes 1:0 While Playing Almost an Hour a Man Down
Sanabria picked up a straight red card in the 45th minute, and LA Galaxy played the entire second half a man down against a team that held the ball for nearly two-thirds of the match. San Jose fired 22 shots to the hosts' ten and outscored them on expected goals, 2.41 to 1.41 — but the match wasn't won by the team with the better process: a single Paintsil goal in the 79th minute delivered Galaxy a gritty 1:0 win.
22 August 2026
Atlanta Beat Minnesota 2-1 Despite Trailing On Expected Goals By Half
Minnesota United put up thirteen shots, held more than half the possession, and doubled Atlanta United's expected-goals total — but still lost 1-2 at home. Atlanta won its third meeting in the last four against Minnesota and repeated the scoreline from their encounter two years earlier. Per the Bravsen model, a result like this at this size of xG gap shows up in roughly 17% of comparable matches.
21 Aug
Houston Dynamo Beat Vancouver With Just One Shot On Target
Vancouver Whitecaps put up seventeen shots and held nearly two-thirds of possession, but only one of those shots forced a save — and the hosts lost 0-1 at home. Houston Dynamo scored the only goal of the night in the 34th minute through defender Franco Negri and protected the slim lead the rest of the way. On expected goals (xG), the hosts led 1.32 to 0.55. The match anomaly score here is high: per the Bravsen model, a result like this at this size of chance-quality gap shows up in roughly 15% of comparable matches.
21 Aug
Vancouver Whitecaps Beat Seattle Sounders 2:0 Without the Hosts Testing the Keeper
Montreal Draw 1:1 With DC United Thanks to Seven Away Saves
Charlotte Beat Columbus Crew 3:1 With Two Goals in Nine Minutes
Nashville Rout Inter Miami 4:1 After Messi's Missed Penalty
Toronto FC Beat New England Revolution 2:1 From Three Shots
New England Revolution vs Houston Dynamo 0:2: Nine Corners, Zero Goals, One Costly Half-Chance
CF Montreal vs New England Revolution 2:2: Nine Minutes That Broke the Board
Major League Soccer is built unlike the European leagues: the draft, the salary cap and the playoffs flatten the field and make matches harder to predict. For a statistical model that is fertile ground — when anyone can beat anyone, every gap between play and score deserves an audit.
MLS Match Reviews: Stats And xG
Every MLS game gets a full breakdown: shots, possession, set pieces, discipline — and an xG valuation of what both teams created. Long travel and a hot-weather calendar produce matches with anomalous finishing; those receive an index and a detailed Bravsen Intelligence report.
American Soccer Results In Numbers
MLS grows every season — and increasingly produces football worth reading through statistics: 3:3 shootouts, goalkeeping spectacles, wins from one shot against fifteen. The reviews above carry goal minutes, chance conversion and table context for every match in the league.
MLS History And Format
Major League Soccer kicked off in 1996 and runs on the American model: no relegation, a draft, a salary cap and the Designated Player rule (the mechanism that brought Beckham and Messi to the league). Clubs are split into Eastern and Western Conferences; the best regular-season team lifts the Supporters' Shield, while the champion is decided in the MLS Cup play-offs.
Is there relegation in MLS?
No: the franchise system works without demotion, and the league keeps expanding — the club count runs deep into the twenties and beyond.
How does the MLS calendar shape its statistics?
A spring-to-autumn season, heat and travel across four time zones create a unique fatigue profile: road trips regularly break teams' xG models.