EFL League One

England · 2026/2027
Avg goals
3.17
BTTS
75.0%
Over 2.5
57.0%
Under 2.5
42.0%
H/D/A
33.0% / 33.0% / 33.0%

Top Over 2.5 teams

  1. Cambridge United FC100.0%
  2. Sheffield Wednesday FC100.0%
  3. Huddersfield Town FC100.0%
  4. Reading FC100.0%
  5. Wigan Athletic FC100.0%

Top BTTS teams

  1. Leicester City FC100.0%
  2. Cambridge United FC100.0%
  3. Burton Albion FC100.0%
  4. Sheffield Wednesday FC100.0%
  5. Reading FC100.0%

Top Under 2.5 teams

  1. Leicester City FC100.0%
  2. Burton Albion FC100.0%
  3. Barnsley FC100.0%
  4. Blackpool FC100.0%
  5. Bradford City AFC100.0%

This page is a season-long research hub for EFL League One (England, 2026/2027). 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 EFL League One season so far, matches are averaging 3.17 goals, both teams have scored in about 75.0% of games, roughly 57.0% of fixtures have gone Over 2.5 goals, about 42.0% have stayed Under 2.5 goals. These figures refresh as the 2026/2027 progresses and are a sensible starting point before you open individual matches.

Home teams have won 33.0% of games to date, with 33.0% drawn and 33.0% won by the away side. That home and away split often shapes how generous the goal markets look from one week to the next.

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

EFL League One 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.