Clean Sheets Stats by Matches — Rankings 2026/27
Find the teams that consistently keep the back door shut — full match, halves, and head-to-head splits.
How clean sheet stats isolate defensive performance
A clean sheet is a match where a team conceded zero goals. Clean sheet percentage ranks the strongest defensive sides — the teams that most often keep opponents from scoring. Clean sheets isolate defensive performance specifically (unlike low-goal matches which include both teams' contributions), which is why they correlate strongly with goalkeeper and back-line quality.
MatchHitsHitsCS%CombinedOdds
1
Green Buffaloes
ZESCO United
Super League1.52
Green BuffaloesZESCO UnitedSuper League4/5
4/6
80%
67%
73%
Tomorrow
DateHomeHome %Away %AwayCombinedCS%OddsBTTS YesLeague
About this ranking
This upcoming clean sheets matches view ranks fixtures by combined defensive solidity — both teams' historical shutout rates shown side-by-side with next-match odds. Use it to scout matches where both teams have strong defensive records (high combined number, predicting tight contests) or where one team's defensive history clashes with the other's attacking patterns. Filter by recent form and odds availability to narrow to high-conviction defensive scenarios. Pair with our BTTS matches view to validate the inverse defensive signal.
Frequently asked questions
How is combined clean sheet probability calculated?
We blend both teams' historical clean sheet rates to produce a combined defensive-solidity signal. High combined values indicate fixtures where both teams have strong defensive records — typically signalling low-scoring tight contests. The view surfaces defensive matchup signals, not match predictions.
How do I read home vs away clean sheet patterns?
Home teams typically produce more clean sheets than away teams — defensive structures are typically tighter at home venues. When an away team carries a high clean sheet rate, that's a structural signal of strong defensive organisation regardless of venue. The home/away split exposes these venue-resilient defensive teams.
How does the next-match odds column inform clean sheet reading?
Live odds on 'team to keep a clean sheet' reflect market consensus on defensive solidity. When our historical clean sheet rate diverges from implied odds, the gap can signal recent defensive changes (new manager, key injuries) that aggregate season stats haven't yet captured.
How are upcoming matches ranked by combined clean sheet probability?
Each upcoming fixture blends both teams' historical shutout rates into a combined defensive-solidity ranking. Sort the matches table by combined value to surface fixtures where both teams have strong defensive records — typically signalling low-scoring tight contests. Layer the form filter (last 5/10/20) to capture recent defensive shifts, and combine with our BTTS matches view to validate the inverse defensive signal.
Market average odds, aggregated across multiple licensed bookmakers. Shown for statistical comparison only — this is not an offer to bet, and no bookmaker is promoted or linked.
