Premier Division

Republic of Ireland · 2026
Avg goals
2.79
BTTS
60.0%
Over 2.5
53.0%
Under 2.5
47.0%
H/D/A
40.0% / 31.0% / 29.0%

Top Over 2.5 teams

  1. Shelbourne FC67.0%
  2. Dundalk FC63.0%
  3. Galway United FC57.0%
  4. Bohemian FC56.0%
  5. Drogheda United FC54.0%

Top BTTS teams

  1. Shelbourne FC75.0%
  2. Dundalk FC71.0%
  3. Galway United FC70.0%
  4. Derry City FC64.0%
  5. Drogheda United FC63.0%

Top Under 2.5 teams

  1. St Patrick's Athletic FC62.0%
  2. Shamrock Rovers FC56.0%
  3. Sligo Rovers FC50.0%
  4. Waterford FC50.0%
  5. Derry City FC48.0%

This page is a season-long research hub for Premier Division (Republic of Ireland, 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 Premier Division season so far, matches are averaging 2.79 goals, both teams have scored in about 60.0% of games, roughly 53.0% of fixtures have gone Over 2.5 goals, about 47.0% 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 40.0% of games to date, with 31.0% drawn and 29.0% won by the away side. That home and away split often shapes how generous the goal markets look from one week to the next.

Shelbourne FC rank highly for Over 2.5 games. The tables below name the leading sides in each market before the interactive charts and fixture list load.

Premier Division 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.