MLS

USA · 2026
Avg goals
3.30
BTTS
61.0%
Over 2.5
62.0%
Under 2.5
38.0%
H/D/A
48.0% / 22.0% / 30.0%

Top Over 2.5 teams

  1. Sporting Kansas City87.0%
  2. Montreal Impact73.0%
  3. Orlando City SC73.0%
  4. Club Internacional de Fútbol Miami73.0%
  5. San Diego FC73.0%

Top BTTS teams

  1. LA Galaxy81.0%
  2. Toronto FC80.0%
  3. New York Red Bulls73.0%
  4. Club Internacional de Fútbol Miami73.0%
  5. FC Cincinnati73.0%

Top Under 2.5 teams

  1. Seattle Sounders FC64.0%
  2. St. Louis City SC60.0%
  3. Houston Dynamo57.0%
  4. Atlanta United FC53.0%
  5. New York City FC47.0%

This page is a season-long research hub for MLS (USA, 2026). Soccer Stats Hub brings together league averages, market trends and team-level signals so you can compare fixtures with context rather than relying on a single headline number.

Across the MLS season so far, matches are averaging 3.30 goals, both teams have scored in about 61.0% of games, roughly 62.0% of fixtures have gone Over 2.5 goals, about 38.0% have stayed Under 2.5 goals. These figures refresh as the 2026 progresses and are a sensible starting point before you open individual matches.

Home teams have won 48.0% of games to date, with 22.0% drawn and 30.0% won by the away side. That home and away split often shapes how generous the goal markets look from one week to the next.

Sporting Kansas City rank highly for Over 2.5 games, while LA Galaxy are among the stronger BTTS teams. The tables below name the leading sides in each market before the interactive charts and fixture list load.

MLS stats guide

What can I research on this page?

Soccer Stats Hub tracks league averages, BTTS rates, Over and Under 2.5 trends, home advantage, standings, corners, cards, team rankings, player leaders and related fixture predictions where data is available. The goal is to show the evidence behind each market, not just the percentage in isolation.

How should I use these competition stats?

Start with the league-wide profile above, then compare team rankings, recent form and individual fixtures. A side can look strong on points yet weak on xG, or vice versa, so cross-check a few metrics before you settle on a view.

Where do the numbers come from?

Season and fixture data are drawn from established football statistics providers used across the site. Model outputs and probability views are described in our methodology page. Predictions are illustrative research tools, not guarantees of results.

Responsible use

Stats support informed judgement; they do not remove match-day risk. If you choose to bet, do so responsibly and within your limits. See our about page for more on how Soccer Stats Hub is built.