National League

England · 2026/2027
Avg goals
3.00
BTTS
57.0%
Over 2.5
57.0%
Under 2.5
42.0%
H/D/A
38.0% / 17.0% / 46.0%

Top Over 2.5 teams

  1. Forest Green Rovers FC100.0%
  2. FC Halifax Town100.0%
  3. AFC Fylde100.0%
  4. Boreham Wood FC100.0%
  5. Tamworth FC100.0%

Top BTTS teams

  1. Carlisle United FC100.0%
  2. Forest Green Rovers FC100.0%
  3. FC Halifax Town100.0%
  4. AFC Fylde100.0%
  5. Boreham Wood FC100.0%

Top Under 2.5 teams

  1. Hartlepool United FC100.0%
  2. Aldershot Town FC100.0%
  3. Yeovil Town FC100.0%
  4. Scunthorpe United FC100.0%
  5. Boston United FC100.0%

This page is a season-long research hub for National League (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 National League season so far, matches are averaging 3.00 goals, both teams have scored in about 57.0% 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 38.0% of games to date, with 17.0% drawn and 46.0% won by the away side. That home and away split often shapes how generous the goal markets look from one week to the next.

Forest Green Rovers FC rank highly for Over 2.5 games, while Carlisle United 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.

National League 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.