Atalanta vs Sassuolo prediction & probabilities (2026-08-23)

Serie A

Atalanta vs Sassuolo Win to Nil

2026-08-23 · 19:45
Win to Nil29.3%Most likely win to nil
Best predictionMost likely win to nil · 29.3%A clear lean on the model’s numbers. Calibrated, not a tip.
29%

model probability

ConvictionStrong

Expert AI analysis

The model makes Most likely win to nil at 29.3%, its strongest read on the Win to Nil market. For context, Atalanta are favoured at 56.7%, a competitive game that shapes how this market plays out. Their last 5 meetings have averaged 2.4 goals a game. Calibrated against real results, we show the read, not a sure thing.

Win to Nil

Atalanta win to nil29.3%

Sassuolo win to nil10.5%

Probability a side wins without conceding, derived from the model score matrix. Calibration-graded, not a tip.

In-depth analysis

56.7%Favoured: Atalanta
53.0%Both Teams to Score
52.0%Over 2.5 goals

We publish the model, not a sure thing. The track record is public, misses included.

Model lenses

Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.

The CalibratorRaw model read: 29.3% on Win to Nil, graded against real out-of-sample results, no odds attached.
The TacticianSees a balanced game from the 52.0% over 2.5 read.
The ScoutAtalanta are the model’s pick on the result at 56.7%, game state shapes how this market plays out.
The RealistThis one sits near a coin-flip, the honest read is low conviction, no strong lean.

Match outlook

Atalanta56.7%

Draw24.3%

Sassuolo19.0%

The model leans Atalanta to win. See the full prediction →

Key players

N

Nikola KrstovicAtalanta · 5 shots/90
To score 26.3%

A

Andrea PinamontiSassuolo · 2.52 shots/90
To score 22.1%

Recent-form projection, a watch list, not a confirmed lineup.

Form & head-to-head

AtalantaLDWLD
SassuoloDWLLL

Last 5 meetings: Atalanta 2 · 0 draws · Sassuolo 3 · 2.4 goals/game.

FAQ

How is this probability calculated?
We fit a goals and markets model (Dixon-Coles plus an xG strength model and an ensemble) on real match data, then calibrate the output against out-of-sample results. It is a calibrated model probability, not an odds-derived tip.

Is this a betting tip?
No – these are calibrated model probabilities, graded against real results. We publish our full track record, including the misses, and never claim to beat the closing market.

Overall model accuracy

We don’t yet publish a graded Win to Nil-specific track record, so this is our overall accuracy across every 1X2 call, graded out-of-sample, updated daily.

0.0097Calibration error (1X2)
47.7%Top-pick hit rate (1X2)
54,671Matches graded

Predictions & track record updated 28 Jul 2026. See the full, dated track record →

More Serie A, Win to Nil

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Model probabilities, calibration-graded, not a tip. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.