Over/Under Stats by Matches — 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.
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.
Capital Territory NPL
Queanbeyan City
Monaro PanthersQueensland NPL
Gold Coast United
Brisbane City
Kakkonen - Lohko C
Jaro 2
JS HerculesCapital Territory NPL
Canberra Juventus
Cooma Tigers FC
Meistriliiga
Trans Narva
Nõmme United
Úrvalsdeild
Vikingur Reykjavik
KR ReykjavikQueensland NPL
WDSC Wolves
Eastern SuburbsMonaro PanthersCapital Territory NPLBrisbane CityQueensland NPLJS HerculesKakkonen - Lohko CCooma Tigers FCCapital Territory NPLNõmme UnitedMeistriliigaKR ReykjavikÚrvalsdeildEastern SuburbsQueensland NPL
About this ranking
This upcoming Over/Under matches view ranks fixtures by combined goal-line hit rate — both teams' historical Over 1.5/2.5/3.5 percentages shown side-by-side with next-match goal-line odds. Use it to scout matches where both teams favour Over outcomes (high combined number) or where one team's history clashes with the other (mismatch fixtures). Filter by sub-market line, recent form and odds availability to narrow to high-conviction goal-line situations. Pair with our BTTS matches view to validate both-teams-score signals on the same fixtures.
Frequently asked questions
How is combined Over/Under probability calculated for upcoming matches?
We average both teams' historical Over hit rates (at the selected line) to produce a combined number. High combined values suggest matches likely to clear the goal line based on historical patterns. We do not predict goals — we surface where two teams' goal-scoring histories align toward the same threshold.
Should I focus on Over 1.5, 2.5 or 3.5 goal lines?
Over 2.5 is the most-studied threshold and produces the broadest data. Over 1.5 surfaces matches almost certain to see at least 2 goals — useful for defensive league analysis. Over 3.5 isolates only the highest-scoring fixtures. Switch sub-market lines to compare how a match looks at each threshold.
How does next-match odds context help with Over/Under reading?
Bookmaker over/under odds reflect market consensus on the goal-line. When our historical hit rate diverges significantly from the implied odds probability, the divergence may indicate either a shift in team form not yet priced in by the market, or insufficient sample size on our side.
How are upcoming matches ranked by Over/Under probability?
Each upcoming fixture blends both teams' historical Over hit rates at the selected goal line (1.5, 2.5 or 3.5) into a combined probability ranking. Sort the matches table by combined value to surface games most likely to clear the threshold based on historical pattern. Switch sub-market lines to compare match expectancy at each goal-line, and combine with our BTTS matches view to validate two-way scoring signals.