Over/Under Stats by Teams — Rankings 2025/26

Find teams that consistently land over or under the goal line — every threshold from 1.5 to 3.5, full match and per half.

1,200+ leagues — 2025/26 season
Refreshed daily from 1,200+ leagues
Excludes friendly matches
Minimum 5 matches required
Bookmaker odds verified
Full-match data — half-time splits where available

How Over/Under goal stats work

Over/Under percentages show how often a team's matches cleared specific goal thresholds — 1.5, 2.5 and 3.5 — the three goal-line stats most studied in football analytics. Higher percentages mean a team's matches produce more goals on average. The average-goals-per-match column anchors each percentage to the underlying scoring rate, separating consistent high-scorers from variance-driven outliers.

TeamHitsO2.5Next MatchOdds
1
Brisbane City logo
Brisbane City
Queensland NPL flagQueensland NPL
13/13
100%
TomorrowGold Coast United
1.35
2
Qviding FIF logo
Qviding FIF
Division 2 - Västra Götaland flagDivision 2 - Västra Götaland
11/11
100%
TomorrowJonsered
1.28
3
KR Reykjavik logo
KR Reykjavik
Úrvalsdeild flagÚrvalsdeild
10/10
100%
In 4 daysVikingur Reykjavik
1.21
4
Monaro Panthers logo
Monaro Panthers
Capital Territory NPL flagCapital Territory NPL
10/10
100%
TomorrowQueanbeyan City
1.27
5
Guabirá logo
Guabirá
Primera División flagPrimera División
9/9
100%
In 3 daysBolívar
1.22
6
JS Hercules logo
JS Hercules
Kakkonen - Lohko C flagKakkonen - Lohko C
8/8
100%
In 2 daysJaro 2
1.13
7
Christos logo
Christos
USL League Two flagUSL League Two
7/7
100%
In 3 daysAnnapolis Blues
1.44
555+ more teams available
Full RankingsAll FiltersAll Pages

Get the complete rankings, advanced filters, custom sorting, and full pagination across every league and all 7 betting markets.

Instant access — full rankings, filters, and pagination.

About this ranking

This Over/Under goals ranking surfaces every team by how often their matches clear the 1.5, 2.5 and 3.5 goal lines — the three goal-line stats most studied in football analytics. Sort by season hit rate or recent form (last 5/10/20 matches) and use the average-goals-per-match column to separate genuinely high-scoring sides from variance-driven outliers. Filter by sub-market line to focus on a single threshold, and split by home/away to find venue effects on scoring. Pair with our BTTS team ranking to spot teams that not only score over the line but also concede.

Frequently asked questions

What does Over 2.5 goals mean and which teams hit it most?

Over 2.5 means 3 or more goals were scored in a match. We track Over 1.5, 2.5 and 3.5 thresholds — the three goal-line stats most studied in football analytics. Teams ranked highest combine attacking productivity with defensive fragility, producing high-scoring matches consistently.

How does Over/Under interact with average goals per match?

Average goals per match is the underlying signal; Over/Under percentages are how often that average crosses specific thresholds. A team averaging 3.2 goals/match with consistent results will have higher Over 2.5 hit rate than a team averaging 3.5 with high variance. Use both columns together to separate consistency from outliers.

Why do home/away Over/Under splits matter?

Home teams typically score more goals per match than away teams, so home Over rates run higher. Some teams have dramatically different scoring profiles at home vs away — open at home, cautious away. The home/away filter surfaces these venue-dependent patterns.

Which teams hit Over 2.5 goals most often by league?

Sort the team rankings by Over 2.5 hit rate to surface the teams whose matches clear three or more goals most often this season. Filter by league to narrow to a specific competition, then layer the average-goals-per-match column to separate consistent high-scorers from variance-driven outliers. The form filter (last 5/10/20) captures recent goal-scoring shifts that full-season averages may mask.