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Clean Sheet Predictions

Fixtures ranked by highest clean sheet probability β€” Sunday 4 October 2020

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.

14 matches cleared our threshold on Sunday 4 October 2020. Ostersunds FK vs AIK Stockholm led the list at 43% in the Allsvenskan. The shortlist runs from 43% down to 20%, so the tail is materially weaker than the top.

Allsvenskan supplies five of the top 10, making it the dominant competition on this list.

Of the 14 fixtures on this list that have since finished, three landed the clean sheet market — 21%. 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 Allsvenskan Β· Sweden
Ostersunds FK
1 : 2 FT
AIK Stockholm
Win 34%
Draw 38%
Win 28%
Under 2.5 73% BTTS No 63%
#2 Allsvenskan Β· Sweden
Kalmar FF
0 : 4 FT
Malmo FF
Win 16%
Draw 26%
βœ“ Win 58%
✓ Over 2.5 54% BTTS Yes 54%
#3 Eliteserien Β· Norway
Start
5 : 1 FT
Haugesund
βœ“ Win 38%
Draw 29%
Win 33%
Under 2.5 63% BTTS No 56%
#4 Allsvenskan Β· Sweden
IFK Norrkoping
1 : 2 FT
Sirius
Win 41%
Draw 33%
Win 26%
Under 2.5 57%
#5 Eliteserien Β· Norway
Aalesund
1 : 2 FT
Kristiansund BK
Win 16%
Draw 19%
βœ“ Win 65%
✓ Over 2.5 65% ✓ BTTS Yes 58%
#6 Eliteserien Β· Norway
Bodo/Glimt
2 : 1 FT
Sandefjord
βœ“ Win 73%
Draw 15%
Win 12%
✓ Over 2.5 74% ✓ BTTS Yes 62%
#7 Bundesliga Β· Germany
VfL Wolfsburg
0 : 0 FT
FC Augsburg
Win 25%
Draw 33%
Win 42%
BTTS Yes 55%
#8 Allsvenskan Β· Sweden
IFK Goteborg
1 : 0 FT
Varbergs BoIS FC
Win 22%
Draw 27%
Win 50%
Over 2.5 57% BTTS Yes 60%
#9 Eliteserien Β· Norway
Brann
1 : 2 FT
Molde
Win 29%
Draw 24%
βœ“ Win 48%
✓ Over 2.5 58% ✓ BTTS Yes 60%
#10 Allsvenskan Β· Sweden
Hammarby FF
1 : 1 FT
Djurgardens IF
Win 34%
Draw 31%
Win 35%
✓ BTTS Yes 56%
#11 Eliteserien Β· Norway
Viking
2 : 2 FT
Stromsgodset
Win 52%
Draw 21%
Win 27%
✓ Over 2.5 69% ✓ BTTS Yes 67%
#12 Allsvenskan Β· Sweden
Mjallby AIF
3 : 2 FT
Helsingborg
βœ“ Win 43%
Draw 27%
Win 31%
✓ Over 2.5 63% ✓ BTTS Yes 66%
#13 Eliteserien Β· Norway
Rosenborg
4 : 1 FT
ODD Ballklubb
βœ“ Win 56%
Draw 20%
Win 24%
✓ Over 2.5 74% ✓ BTTS Yes 70%
#14 Bundesliga Β· Germany
Bayern München
4 : 3 FT
Hertha BSC
βœ“ Win 55%
Draw 23%
Win 22%
✓ Over 2.5 78% ✓ BTTS Yes 76%

Showing top 14 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 Sunday 4 October 2020?

14 fixtures met the criteria, led by Ostersunds FK vs AIK Stockholm at 43% 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.