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Clean Sheet Predictions

Fixtures ranked by highest clean sheet probability β€” Wednesday 6 April 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.

16 matches cleared our threshold on Wednesday 6 April 2022. Seongnam FC vs Gimcheon Sangmu FC led the list at 48% in the K League 1. The shortlist runs from 48% down to 29%, so the tail is materially weaker than the top.

Serie B supplies three of the top 10, making it the dominant competition on this list.

Of the 16 fixtures on this list that have since finished, nine landed the clean sheet market — 56%. 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 K League 1 Β· South-Korea
Seongnam FC
0 : 3 FT
Gimcheon Sangmu FC
Win 37%
Draw 36%
Win 27%
Under 2.5 78% ✓ BTTS No 69%
#2 Thai League 1 Β· Thailand
Buriram United
1 : 1 FT
Chiangrai United
Win 41%
Draw 35%
Win 24%
✓ Under 2.5 69% BTTS No 61%
#3 Premier League Β· England
Burnley
3 : 2 FT
Everton
βœ“ Win 39%
Draw 31%
Win 30%
Under 2.5 69% BTTS No 61%
#4 Serie B Β· Italy
Vicenza Virtus
1 : 1 FT
Crotone
Win 48%
Draw 32%
Win 20%
✓ Under 2.5 58%
#5 Serie B Β· Italy
Cittadella
0 : 0 FT
Perugia
Win 25%
Draw 36%
Win 39%
✓ Under 2.5 66% ✓ BTTS No 57%
#6 Championship Β· England
West Brom
2 : 0 FT
Bournemouth
Win 29%
Draw 30%
Win 40%
✓ Under 2.5 67% ✓ BTTS No 60%
#7 Bundesliga Β· Germany
FC Augsburg
2 : 1 FT
FSV Mainz 05
βœ“ Win 58%
Draw 25%
Win 17%
✓ Over 2.5 53%
#8 Serie B Β· Italy
Pisa
0 : 0 FT
Brescia
Win 33%
βœ“ Draw 37%
Win 30%
✓ Under 2.5 68% ✓ BTTS No 58%
#9 Thai League 1 Β· Thailand
BG Pathum United
7 : 2 FT
Prachuap
βœ“ Win 44%
Draw 31%
Win 25%
Under 2.5 58%
#10 K League 1 Β· South-Korea
Pohang Steelers
2 : 0 FT
Suwon City FC
Win 32%
Draw 32%
Win 36%
✓ Under 2.5 67% ✓ BTTS No 59%
#11 Serie B Β· Italy
Parma
4 : 3 FT
Como
βœ“ Win 42%
Draw 33%
Win 25%
Under 2.5 57%
#12 Championship Β· England
Nottingham Forest
2 : 0 FT
Coventry
βœ“ Win 55%
Draw 23%
Win 22%
Over 2.5 54% BTTS Yes 54%
#13 Championship Β· England
Middlesbrough
0 : 1 FT
Fulham
Win 26%
Draw 25%
βœ“ Win 49%
BTTS Yes 53%
#14 Serie B Β· Italy
Monza
2 : 0 FT
Ascoli
βœ“ Win 48%
Draw 29%
Win 23%
BTTS Yes 57%
#15 K League 1 Β· South-Korea
FC Seoul
2 : 2 FT
Gangwon FC
Win 34%
Draw 28%
Win 38%
Under 2.5 56%
#16 Premier League Β· Russia
FC Rostov
1 : 0 FT
Krylia Sovetov
Win 25%
Draw 27%
Win 48%
Over 2.5 58% BTTS Yes 60%

Showing top 16 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 Wednesday 6 April 2022?

16 fixtures met the criteria, led by Seongnam FC vs Gimcheon Sangmu FC at 48% 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.