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League Table
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | San Jose Earthquakes | 11 | 9 | 1 | 1 | 26 | 7 | 19 | 28 | DWWWW |
| 1 | Nashville SC | 10 | 7 | 2 | 1 | 21 | 6 | 15 | 23 | DWWWL |
| 2 | Vancouver Whitecaps | 10 | 8 | 1 | 1 | 26 | 6 | 20 | 25 | DWWWW |
| 2 | New England Revolution | 10 | 6 | 1 | 3 | 18 | 12 | 6 | 19 | WDWWW |
| 3 | Los Angeles FC | 11 | 6 | 3 | 2 | 19 | 8 | 11 | 21 | DWDLL |
| 3 | Inter Miami | 11 | 5 | 4 | 2 | 22 | 19 | 3 | 19 | LDWWD |
| 4 | Seattle Sounders | 9 | 6 | 2 | 1 | 13 | 5 | 8 | 20 | DWWWD |
| 4 | Chicago Fire | 10 | 5 | 2 | 3 | 19 | 11 | 8 | 17 | LWDWW |
| 5 | Minnesota United FC | 11 | 6 | 2 | 3 | 14 | 16 | -2 | 20 | WLWWW |
| 5 | DC United | 11 | 4 | 3 | 4 | 13 | 15 | -2 | 15 | WWDDL |
| 6 | Real Salt Lake | 10 | 6 | 1 | 3 | 19 | 14 | 5 | 19 | WLLWW |
| 6 | FC Cincinnati | 11 | 4 | 3 | 4 | 22 | 25 | -3 | 15 | WWDDD |
| 7 | FC Dallas | 11 | 4 | 4 | 3 | 20 | 15 | 5 | 16 | WLLDD |
| 7 | Charlotte | 11 | 4 | 2 | 5 | 18 | 19 | -1 | 14 | LLLWL |
| 8 | Houston Dynamo | 10 | 5 | 0 | 5 | 13 | 18 | -5 | 15 | WLWWL |
| 8 | Toronto FC | 11 | 3 | 5 | 3 | 18 | 20 | -2 | 14 | DLDDD |
| 9 | Colorado Rapids | 11 | 4 | 1 | 6 | 22 | 19 | 3 | 13 | LLDLW |
| 9 | New York City FC | 11 | 3 | 3 | 5 | 19 | 18 | 1 | 12 | LLDLL |
| 10 | Los Angeles Galaxy | 11 | 3 | 4 | 4 | 16 | 17 | -1 | 13 | DWLDW |
| 10 | Columbus Crew | 11 | 3 | 3 | 5 | 16 | 16 | 0 | 12 | LWWLD |
| 11 | Austin | 11 | 3 | 4 | 4 | 16 | 19 | -3 | 13 | WWLDL |
| 11 | New York Red Bulls | 11 | 3 | 3 | 5 | 16 | 27 | -11 | 12 | LLDLD |
| 12 | San Diego | 11 | 3 | 3 | 5 | 19 | 19 | 0 | 12 | DLLLL |
| 12 | Atlanta United FC | 11 | 3 | 1 | 7 | 12 | 18 | -6 | 10 | WWLLL |
| 13 | Portland Timbers | 10 | 3 | 1 | 6 | 13 | 21 | -8 | 10 | LWLWL |
| 13 | Orlando City SC | 11 | 3 | 1 | 7 | 16 | 32 | -16 | 10 | WLWLD |
| 14 | CF Montreal | 10 | 3 | 0 | 7 | 14 | 23 | -9 | 9 | LWWLL |
| 14 | St. Louis City | 10 | 1 | 3 | 6 | 9 | 18 | -9 | 6 | LLLDD |
| 15 | Philadelphia Union | 11 | 1 | 3 | 7 | 9 | 17 | -8 | 6 | DLDDW |
| 15 | Sporting Kansas City | 10 | 1 | 2 | 7 | 8 | 26 | -18 | 5 | DLLLL |
| Form legend: W - win, D - draw, L - loss | ||||||||||
-
Avg goals3.3Per match
-
Over 2.562.4%Season hit rate
-
BTTS61.5%Both teams to score
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Home wins48.2%Share of matches
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Draws22%Share of matches
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Away wins29.8%Share of matches
Major League Soccer (MLS) is one of the most unique football competitions in the world, combining a closed-league structure with a high-scoring and attack-oriented style of play. Unlike most European leagues, MLS features playoffs, salary caps, and significant squad rotation, all of which directly impact match predictability.
Teams such as LAFC, Inter Miami, and Seattle Sounders are among the strongest in the league, but overall parity remains high. The absence of relegation allows teams to take more tactical risks, often resulting in open and dynamic matches.
One of the defining characteristics of MLS is its high goal output. Matches frequently produce multiple goals, making markets such as Over 2.5 goals and Both Teams To Score (BTTS) particularly relevant.
Another key factor is home advantage. Due to extensive travel distances across the United States and varying climate conditions, home teams often perform significantly better than away teams. This creates a strong imbalance that must be considered in any betting strategy.
From a betting perspective, MLS typically presents:
- High-scoring matches → frequent Over and BTTS outcomes
- Strong home advantage → away teams struggle with consistency
- Rotations and unpredictability → lineup changes affect performance
Because of the league’s unique structure, traditional European-style analysis often fails to capture its dynamics.
Our MLS predictions are generated using a data-driven model built on real match statistics, historical performance, and betting market signals, rather than subjective opinions. The system evaluates:
- recent team form and attacking efficiency
- home vs away performance differences
- goal-scoring trends and defensive weaknesses
- bookmaker odds and implied probabilities
Given the nature of the league, our model focuses on identifying value in high-scoring scenarios and home-driven advantages, where bookmakers may not fully account for underlying patterns.
All predictions are tracked transparently and measured in betting units (u), allowing you to evaluate real long-term performance rather than short-term accuracy.
For bettors who understand its structure, MLS offers a dynamic environment with consistent opportunities — especially in goal-related markets.