Nottingham Forest vs Brentford prediction & probabilities (2025-08-17)

Premier League

Nottingham Forest vs Brentford Win to Nil

2025-08-17
Win to Nil17.3%Most likely win to nil
Best predictionMost likely win to nil · 17.3%A clear lean on the model’s numbers. Calibrated, not a tip.
17%

model probability

ConvictionStrong

Expert AI analysis

The headline read is Most likely win to nil at 17.3%, its strongest read on the Win to Nil market. On the result, Nottingham Forest are favoured at 38.0%, a competitive game that shapes how this market plays out. These are the model’s own calibrated numbers, not betting advice.

Win to Nil

Nottingham Forest win to nil17.3%

Brentford win to nil17.0%

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

In-depth analysis

38.0%Favoured: Nottingham Forest
59.5%Both Teams to Score
56.0%Over 2.5 goals

We publish the model, not a sure thing. Calibration is our edge, not beating the market.

Model lenses

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

The CalibratorRaw model read: 17.3% on Win to Nil, graded against real out-of-sample results, no odds attached.
The TacticianSees an open, higher-tempo game from the 56.0% over 2.5 read.
The ScoutNottingham Forest are the model’s pick on the result at 38.0%, a lean on probability, never on price.

Match outlook

Nottingham Forest38.0%

Draw24.1%

Brentford38.0%

The model leans Nottingham Forest to win. See the full prediction →

Key players

T

Taiwo AwoniyiNottingham Forest · 2.8 shots/90
To score 11.0%

Y

Yoane WissaBrentford · 2.75 shots/90
To score 40.2%

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

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 29 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.