Mainz vs Paderborn prediction & probabilities (2026-08-29)

Bundesliga

Mainz vs Paderborn Win to Nil

2026-08-29 · 14:30
Win to Nil26.9%Most likely win to nil
Best predictionMost likely win to nil · 26.9%A clear lean on the model’s numbers. Calibrated, not a tip.
27%

model probability

ConvictionStrong

Expert AI analysis

The headline read is Most likely win to nil at 26.9%, its strongest read on the Win to Nil market. On the result, Mainz are favoured at 60.7%, so game state could swing this market. Their last 4 meetings have averaged 3.5 goals a game. These are the model’s own calibrated numbers, not betting advice.

Win to Nil

Mainz win to nil26.9%

Paderborn win to nil8.2%

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

In-depth analysis

60.7%Favoured: Mainz
59.6%Both Teams to Score
61.8%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: 26.9% on Win to Nil, graded against real out-of-sample results, no odds attached.
The TacticianProjects an open, higher-tempo game from the 61.8% over 2.5 read.
The ScoutMainz are the model’s pick on the result at 60.7%, context for how the goals may flow.

Match outlook

Mainz60.7%

Draw21.9%

Paderborn17.4%

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

Form & head-to-head

MainzDLWLW
PaderbornDLLLL

Last 4 meetings: Mainz 3 · 1 draws · Paderborn 0 · 3.5 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 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.