Clean sheet betting explained
A clean sheet bet wins if your team concedes nothing in 90 minutes, whatever the result. How it settles, how it differs from win to nil, and the maths.
On this page
A clean sheet bet wins if the team you pick does not concede a goal in normal time. The result does not matter: a 0–0 draw and a 3–0 win both settle as a win for the team that kept the clean sheet. One goal against, from any source, own goals included, and the bet loses. Most bookmakers offer it as a yes or no on each team.
How it settles
| Final score | Home clean sheet | Away clean sheet |
|---|---|---|
| 0–0 | Wins | Wins |
| 2–0 | Wins | Loses |
| 0–1 | Loses | Wins |
| 1–1 | Loses | Loses |
| 3–2 | Loses | Loses |
Like nearly every football market, it is settled on 90 minutes plus stoppage time. Extra time and penalties do not count.
Clean sheet against win to nil
The two get confused. A win to nil bet needs your team to win and not concede. A clean sheet bet only needs the second part. So every result that wins a win to nil bet also wins the clean sheet bet, plus one more: the goalless draw. That is why the clean sheet price for a team is always shorter than its win to nil price.
Working out the chance
The usual method is a Poisson model on goals, the same one behind correct score betting. If the other team is expected to score λ goals, the chance they score none is e^−λ. Here is an illustrative match where the home side is expected to score 1.5 and the away side 1.1. These are example inputs, not a BAI8 number:
| Bet | Wins if | Chance | Fair price |
|---|---|---|---|
| Home clean sheet | away score 0 | e^−1.1 = 33.3% | 3.00 |
| Away clean sheet | home score 0 | e^−1.5 = 22.3% | 4.48 |
| Home win to nil | home score 1+, away 0 | 77.7% × 33.3% = 25.9% | 3.86 |
| 0–0 | both score 0 | 22.3% × 33.3% = 7.4% | 13.5 |
The gap between the home clean sheet (33.3%) and the home win to nil (25.9%) is exactly the 0–0, 7.4%. The Smarkets help pages walk through the same Poisson steps. The model assumes the two teams' goals are independent, which real matches only roughly follow.
What a Desk card can and cannot tell you
Take today's Desk card for Trabzonspor v SC Freiburg: Trabzonspor 50.7%, the draw 23.2%, Freiburg 26.1%. Those three numbers sum to 100%, but none of them is a clean sheet chance. A Trabzonspor win can be 1–0 or 4–3, and the draw can be 0–0 or 2–2. To get from a match result to a clean sheet you need each side's expected goals, and the Desk does not publish them. The full card is in the Trabzonspor v Freiburg prediction.
What this does not tell you
It does not tell you a clean sheet price is good or bad value; that needs your own chance against the price, with the bookmaker's margin taken out. Poisson gives a sensible first estimate, but it is weakest for low-scoring games, where 0–0 tends to happen a little more often than the plain model says. And BAI8 does not publish clean sheet numbers, so treat the table above as arithmetic, not a call.
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Common questions
What is a clean sheet bet?
A bet that a named team will not concede a goal in normal time. It wins on 0–0 and on any win to nil, and loses as soon as the team concedes, own goals included.
Does a 0–0 draw count as a clean sheet?
Yes, for both teams. A clean sheet is about goals conceded, not the result, so a goalless draw wins a clean sheet bet on either side.
What is the difference between clean sheet and win to nil?
Win to nil needs the team to win as well as not concede, so it loses on 0–0. A clean sheet bet wins on 0–0, which is why its price is always shorter than the win to nil price for the same team.
How do you work out the chance of a clean sheet?
Estimate how many goals the other team is expected to score and use a Poisson model: the chance of zero goals is e to the power of minus that number. With 1.1 expected goals against you, that is about 33%, a fair price of about 3.00.
Does BAI8 publish clean sheet predictions?
No. The Desk prices the match result only. A clean sheet number needs a goals model, and we say so rather than guess.
Sources
- bet365, football goalscoring market ruleshelp.bet365.com
- Smarkets Help Centre, how to calculate Poisson distribution for football bettinghelp.smarkets.com
- Dixon and Coles, Modelling association football scores and inefficiencies in the football betting marketdoi.org
- BAI8 Desk preview, 5 November 2026bai8.app