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Clean Sheet Predictions

Fixtures ranked by highest clean sheet probability β€” Tuesday 11 October 2022

Our prediction model calculates the probability that each team concedes zero goals based on their defensive strength and the opponent's attack rating. Fixtures at the top of this list have the highest probability of at least one team keeping a clean sheet β€” making them strong candidates for to-nil and correct score markets.

15 fixtures cleared the bar on Tuesday 11 October 2022. The strongest reading belongs to Al Taawon vs Abha at 54% in the Pro League. The shortlist runs from 54% down to 21%, which is a meaningful spread across a single day.

Pro League supplies five of the top 10, so the day's profile is concentrated rather than spread evenly.

Of the 15 fixtures on this list that have since finished, four landed the clean sheet market — 27%. This is a single day's sample and swings heavily; the rolling record across all fixtures is on the model accuracy page.

Model output for information only β€” not betting advice. See the model's accuracy record.

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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

#1 Pro League Β· Saudi-Arabia
Al Taawon
1 : 3 FT
Abha
Win 58%
Draw 27%
Win 15%
Under 2.5 65% BTTS No 64% Al Taawon Clean Sheet 54%
#2 Pro League Β· Saudi-Arabia
Al-Nassr
4 : 1 FT
Al-Adalah
βœ“ Win 54%
Draw 29%
Win 16%
Under 2.5 68% BTTS No 65% Al-Nassr Clean Sheet 54%
#3 Serie A Β· Brazil
Santos
4 : 1 FT
Juventude
βœ“ Win 67%
Draw 21%
Win 12%
BTTS No 58%
#4 League One Β· England
Peterborough
4 : 1 FT
Forest Green
βœ“ Win 68%
Draw 19%
Win 13%
✓ Over 2.5 55%
#5 Pro League Β· Saudi-Arabia
Al Khaleej Saihat
1 : 2 FT
Al-Fateh
Win 22%
Draw 30%
βœ“ Win 48%
Under 2.5 64% BTTS No 58%
#6 Pro League Β· Saudi-Arabia
Al-Fayha
0 : 3 FT
Al-Ettifaq
Win 29%
Draw 34%
βœ“ Win 37%
Under 2.5 73% ✓ BTTS No 64%
#7 Championship Β· England
Wigan
1 : 0 FT
Blackburn
Win 25%
Draw 29%
Win 46%
✓ Under 2.5 62% ✓ BTTS No 57%
#8 K League 1 Β· South-Korea
Pohang Steelers
1 : 1 FT
Ulsan Hyundai FC
Win 47%
Draw 28%
Win 25%
✓ Under 2.5 61% BTTS No 56%
#9 K League 1 Β· South-Korea
Incheon United
3 : 1 FT
Jeju United FC
βœ“ Win 45%
Draw 28%
Win 27%
Under 2.5 60% BTTS No 55%
#10 Pro League Β· Saudi-Arabia
Damac
1 : 1 FT
Al-Ittihad FC
Win 31%
Draw 30%
Win 39%
✓ Under 2.5 64% BTTS No 57%
#11 Superettan Β· Sweden
Halmstad
2 : 3 FT
Orgryte IS
Win 52%
Draw 25%
Win 23%
✓ Over 2.5 54% ✓ BTTS Yes 55%
#12 League One Β· England
Charlton
4 : 2 FT
Exeter City
βœ“ Win 39%
Draw 27%
Win 34%
#13 K League 1 Β· South-Korea
Jeonbuk Motors
1 : 0 FT
Gangwon FC
Win 36%
Draw 27%
Win 38%
#14 League One Β· England
Milton Keynes Dons
0 : 1 FT
Bristol Rovers
Win 42%
Draw 24%
Win 33%
Over 2.5 58% BTTS Yes 60%
#15 Superettan Β· Sweden
Jonkopings Sodra
1 : 1 FT
IK brage
Win 30%
Draw 22%
Win 47%
Over 2.5 69% ✓ BTTS Yes 68%

Showing top 15 fixtures by clean sheet probability. Predictions are generated by our prediction model and updated daily. For informational purposes only.

Clean Sheet β€” common questions

What does the Clean Sheet market mean?

Clean Sheet settles on whether a match sees at least one team keep a clean sheet. It is one of the most commonly offered football markets and is priced by every major bookmaker.

How does Fixture360 calculate clean sheet probability?

Our Poisson model estimates each team's expected goals from their attack and defence strengths, then builds a probability for every possible scoreline. The clean-sheet probability shown here is the probability that a given side concedes zero, from the opponent's expected-goals figure. No bookmaker odds are used as an input — the model is independent of the market.

How many fixtures qualified for Clean Sheet on Tuesday 11 October 2022?

15 fixtures met the criteria, led by Al Taawon vs Abha at 54% clean-sheet probability.

Which fixtures appear on this page?

Fixtures with the highest clean-sheet probabilities of the day, ranked strongest first. The page defaults to today; the date strip moves to other days, and only fixtures with enough underlying result history to generate a model snapshot are eligible.

How accurate are these clean sheet predictions?

Every settled prediction is scored and published on our model accuracy page, broken down by market and league. Treat any single day as a small sample — the model is built to be judged over hundreds of fixtures, not one card.

Are these predictions betting tips?

No. These are model outputs published for information, with no stake or return implied. Gambling carries real financial risk — please read our responsible gambling guidance.