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Clean Sheet Predictions

Fixtures ranked by highest clean sheet probability — Tuesday 10 January 2023

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 — making them strong candidates for to-nil and correct score markets.

Twelve fixtures cleared the bar on Tuesday 10 January 2023. Caen vs Bordeaux sits top on 52% in the Ligue 2. The shortlist runs from 52% down to 30%, so the tail is materially weaker than the top.

Ligue 2 supplies eight of the top 10, so the day's profile is concentrated rather than spread evenly.

Of the twelve fixtures on this list that have since finished, three landed the clean sheet market — 25%. 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 — 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 Ligue 2 · France
Caen
2 : 2 FT
Bordeaux
Win 51%
Draw 29%
Win 19%
Under 2.5 69% BTTS No 65%
#2 Ligue 2 · France
Le Havre
1 : 0 FT
Sochaux
✓ Win 49%
Draw 28%
Win 23%
✓ Under 2.5 64% ✓ BTTS No 59%
#3 Ligue 2 · France
Valenciennes
2 : 2 FT
Annecy
Win 40%
Draw 31%
Win 28%
Under 2.5 70% BTTS No 62%
#4 Ligue 2 · France
PAU
0 : 0 FT
Grenoble
Win 38%
Draw 31%
Win 31%
✓ Under 2.5 68% ✓ BTTS No 61%
#5 League Two · England
Bradford
1 : 2 FT
Rochdale
Win 49%
Draw 26%
Win 24%
Under 2.5 57% BTTS No 53%
#6 Pro League · Saudi-Arabia
Al-Raed
1 : 1 FT
Al-Hilal Saudi FC
Win 17%
Draw 21%
Win 63%
Over 2.5 58% ✓ BTTS Yes 53%
#7 Ligue 2 · France
Rodez
1 : 1 FT
Niort
Win 41%
Draw 29%
Win 30%
✓ Under 2.5 63% BTTS No 56%
#8 Ligue 2 · France
Quevilly
1 : 1 FT
Bastia
Win 49%
Draw 26%
Win 25%
✓ Under 2.5 54%
#9 Ligue 2 · France
Nimes
1 : 4 FT
Metz
Win 38%
Draw 30%
Win 32%
Under 2.5 64% BTTS No 57%
#10 Ligue 2 · France
Paris FC
2 : 1 FT
Dijon
Win 35%
Draw 30%
Win 35%
Under 2.5 65% BTTS No 58%
#11 Ligue 2 · France
Amiens
1 : 1 FT
Guingamp
Win 36%
Draw 28%
Win 37%
✓ Under 2.5 57%
#12 Ligue 2 · France
Saint Etienne
1 : 0 FT
Laval
✓ Win 47%
Draw 25%
Win 28%
Over 2.5 53% BTTS Yes 56%

Showing top 12 fixtures by clean sheet probability. Predictions are generated by our prediction model and updated daily. For informational purposes only.

Clean Sheet — 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 10 January 2023?

twelve fixtures met the criteria, led by Caen vs Bordeaux at 52% 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.