3 Liga

Germany · 2025/2026
Avg goals
3.21
BTTS
64.0%
Over 2.5
64.0%
Under 2.5
36.0%
H/D/A
46.0% / 23.0% / 31.0%

Top Over 2.5 teams

  1. TSV Alemannia Aachen74.0%
  2. SC Verl 192474.0%
  3. FC Ingolstadt 0471.0%
  4. VfB Stuttgart 1893 II71.0%
  5. TSG 1899 Hoffenheim II71.0%

Top BTTS teams

  1. Rot-Weiss Essen82.0%
  2. TSV Havelse76.0%
  3. FC Ingolstadt 0474.0%
  4. TSG 1899 Hoffenheim II74.0%
  5. SSV Ulm 184674.0%

Top Under 2.5 teams

  1. VfL Osnabrück55.0%
  2. 1. FC Saarbrucken55.0%
  3. FC Viktoria Köln47.0%
  4. SV Wehen Wiesbaden45.0%
  5. SSV Jahn 2000 Regensburg45.0%

This page is a season-long research hub for 3 Liga (Germany, 2025/2026). 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 3 Liga season so far, matches are averaging 3.21 goals, both teams have scored in about 64.0% of games, roughly 64.0% of fixtures have gone Over 2.5 goals, about 36.0% have stayed Under 2.5 goals. These figures refresh as the 2025/2026 progresses and are a sensible starting point before you open individual matches.

Home teams have won 46.0% of games to date, with 23.0% drawn and 31.0% won by the away side. That home and away split often shapes how generous the goal markets look from one week to the next.

TSV Alemannia Aachen rank highly for Over 2.5 games, while Rot-Weiss Essen are among the stronger BTTS teams. The tables below name the leading sides in each market before the interactive charts and fixture list load.

3 Liga 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.