How Many Shots on Target Can a Team Face and Keep a Clean Sheet?
A study of 134,094 team-matches shows how quickly clean-sheet chances collapse as shots on target pile up, and why BTTS bettors should think in shots, not reputations.
- 27.5%Clean-sheet rate across all team-matches
- 43.9%Clean-sheet rate when facing exactly 2 on target
- 15.8%Clean-sheet rate when facing exactly 5 on target
- 2.7Average shots on target faced in a clean sheet
Every BTTS bet is really two clean-sheet questions stitched together. Will this defence hold, and will that one? Most of the reasoning behind my both teams to score tips page comes back to one blunt variable: how many shots on target a side is likely to give up. So I measured exactly how the clean-sheet rate falls as that number climbs.
The headline is harsher than most people expect. Across 21 European divisions and 67,047 matches, teams kept a clean sheet 27.5% of the time. A clean sheet stayed more likely than not only up to 1 shot on target faced. Once a side allows a second effort on target, the shutout is already the less likely outcome.
Q1How many shots on target can a defence survive?
This is the core curve. Teams facing 0 shots on target kept a clean sheet 97.2% of the time, and the handful of exceptions are mostly own goals. At 1 on target the rate drops to 65.6%, at 2 it is 43.9% and at 3 it is 31.2%. By 5 on target you are down to 15.8%, and at 10 or more it is just 3.1%.
The steepest falls come early. The first two shots on target do far more damage to a clean sheet than the seventh or eighth, because by then the shutout is usually gone already.
View the data: clean-sheet rate by shots on target faced
| Share of 134,094 team-matches with no goal conceded | |
|---|---|
| 0 | 97.2% |
| 1 | 65.6% |
| 2 | 43.9% |
| 3 | 31.2% |
| 4 | 21.5% |
| 5 | 15.8% |
| 6 | 11.4% |
| 7 | 8.6% |
| 8 | 5.6% |
| 9 | 4.5% |
| 10+ | 3.1% |
What I take from this: a clean sheet is a low-volume event. Teams that kept one faced 2.7 shots on target on average, against 4.8 when they conceded. If I can't make a case that a defence holds an opponent to around two efforts on target, I don't believe in its clean sheet.
Q2When the shots pile up, how many goals actually follow?
A clean sheet is binary, but BTTS punters also care about how the scoring spreads. Overall, 31.4% of shots on target faced ended up as goals. In the 4-5 band, teams conceded exactly one goal 37.6% of the time and two goals 29.4% of the time. That middle band is where BTTS lives: the defence is breached, but not always buried.
At the top end things get ugly. Teams facing 8 or more shots on target conceded 3+ goals 53.6% of the time and kept a clean sheet only 4.5%.
View the data: goals conceded by shots on target faced
| 0 | 1 | 2 | 3+ | |
|---|---|---|---|---|
| 0-1 on target | 73.2% | 26.0% | 0.8% | 0.0% |
| 2-3 on target | 36.9% | 43.4% | 17.3% | 2.5% |
| 4-5 on target | 18.9% | 37.6% | 29.4% | 14.1% |
| 6-7 on target | 10.3% | 27.9% | 31.3% | 30.6% |
| 8+ on target | 4.5% | 16.4% | 25.4% | 53.6% |
For BTTS this matters because a side under siege usually concedes more than once. That often drags the opponent forward and opens the game at both ends.
Q3Does playing at home help a defence facing the same shots?
I wanted to know whether venue changes the equation once you control for shots faced. It does, but only slightly. Home sides facing 2-3 shots on target kept a clean sheet 38.4% of the time, away sides 34.9%. In the 6-7 band it was 10.8% at home against 9.9% away.
The gap is consistent but small at every band. Whatever home advantage does for a defence, it mostly does it by reducing the shots allowed, not by turning those shots into saves.
View the data: clean sheets at home vs away, same shots faced
| Home side | Away side | |
|---|---|---|
| 0-1 on target (14,482 team-matches) | 74.2% | 71.4% |
| 2-3 on target (42,236 team-matches) | 38.4% | 34.9% |
| 4-5 on target (41,204 team-matches) | 20.2% | 17.7% |
| 6-7 on target (23,178 team-matches) | 10.8% | 9.9% |
| 8+ on target (12,994 team-matches) | 4.9% | 4.3% |
The division doesn't change much either. Facing 4-5 shots on target, top-flight sides kept a clean sheet 19.0% of the time and lower-division sides 18.8%. Shot volume travels across leagues far better than reputation does.
Q4What is a clean sheet really worth at each shot level?
Here the frequencies become prices. Fair odds are simply one divided by the observed rate, with no margin added. A side facing 0-1 shots on target has a fair clean-sheet price of 1.37. At 4-5 it is 5.29, and at 8+ it stretches to 22.06.
The main caveat: shots on target faced is only known after the match, and these are full-match totals that can't show whether pressure came before or after a goal. These prices describe what a clean sheet requires, not a pre-match forecast. Your job is to estimate the likely shot band, then compare.
| Shots on target faced | Team-matches | Clean sheet | Fair odds CS yes | Fair odds CS no |
|---|---|---|---|---|
| 0-1 | 14,482 | 73.2% | 1.37 | 3.73 |
| 2-3 | 42,236 | 36.9% | 2.71 | 1.58 |
| 4-5 | 41,204 | 18.9% | 5.29 | 1.23 |
| 6-7 | 23,178 | 10.3% | 9.74 | 1.11 |
| 8+ | 12,994 | 4.5% | 22.06 | 1.05 |
If I think a defence will concede around 2-3 on target, a fair clean-sheet price near 2.71 is my anchor. A shorter market price needs a reason beyond the badge on the shirt.
The playbook
How we would use these numbers before the next BTTS bet.
- Project shots, not reputations. Before backing BTTS No, estimate how many shots on target each defence is likely to face. Clean sheets stay more likely than not only up to 1 on target, so both sides need to be very tight.
- Anchor on band prices. Use the fair odds as a sanity check: 2.71 for a clean sheet at 2-3 on target, 5.29 at 4-5. If the market prices a shutout much shorter than your projected band suggests, pass.
- Discount the home bonus. At equal shots faced, home sides keep only slightly more clean sheets, 38.4% against 34.9% at 2-3 on target. Credit venue for limiting shots, not for converting them into saves.
Data & method
- Data: 21 European divisions, 2016/17–2025/26, 67,047 matches with full match statistics.
- One row per team per match from league matches with full match statistics; shots on target are those faced by the team in the whole match.
- Clean sheet = the team conceded 0 goals at full time.
- Bands group exact counts of shots on target faced; home and away sides are shown separately in one chart.
- Fair odds = 1 / observed frequency, with no bookmaker margin added.
- Caveat: Shots on target are full-match totals; the data cannot show whether they came before or after a goal, and a team that leads may face more late pressure.
- Caveat: Own goals and some penalties explain why a few teams conceded despite facing very few shots on target.
- Caveat: Shots on target faced is only known after the match, so these rates describe what a clean sheet needs, not a pre-match signal.
Quick Q&A
- How often do football teams keep a clean sheet?
- Across 134,094 team-matches in 21 European divisions, teams kept a clean sheet 27.5% of the time. That rate climbs to 97.2% when a side faces no shots on target at all.
- How many shots on target does a team face when it keeps a clean sheet?
- Teams that kept a clean sheet faced 2.7 shots on target on average. When they conceded, the average was 4.8.
- What percentage of shots on target become goals?
- Overall, 31.4% of shots on target faced ended up as goals. That's why a defence facing 5 on target kept a clean sheet only 15.8% of the time.
I'm Beatrix Lund, a betting writer who's narrowed right down to Both Teams To Score markets, where patient research into goal patterns tends to pay off.
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