Ipswich vs Sunderland prediction & probabilities (2026-08-22)

Premier League

Ipswich vs Sunderland Win to Nil

2026-08-22 · 15:00
Win to Nil20.7%Most likely win to nil
Best predictionMost likely win to nil · 20.7%A clear lean on the model’s numbers. Calibrated, not a tip.
21%

model probability

ConvictionStrong

Expert AI analysis

The model makes Most likely win to nil at 20.7%, its strongest read on the Win to Nil market. On the result, Sunderland are favoured at 38.7%, a competitive game that shapes how this market plays out. These are the model’s own calibrated numbers, not betting advice.

Win to Nil

Ipswich win to nil19.0%

Sunderland win to nil20.7%

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

In-depth analysis

38.7%Favoured: Sunderland
51.1%Both Teams to Score
45.1%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: 20.7% on Win to Nil, graded against real out-of-sample results, no odds attached.
The TacticianProjects a balanced game from the 45.1% over 2.5 read.
The ScoutSunderland are the model’s pick on the result at 38.7%, a lean on probability, never on price.
The RealistThis one sits near a coin-flip, the honest read is low conviction, no strong lean.

Match outlook

Ipswich32.6%

Draw28.7%

Sunderland38.7%

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

Key players

J

Julio EncisoIpswich · 3.23 shots/90
To score 14.1%

W

Wilson IsidorSunderland · 3.39 shots/90
To score 17.0%

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

Form & head-to-head

IpswichLDLLL
SunderlandLDDWW

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 →

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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.