Nürnberg W vs Bayer Leverkusen W prediction
Frauen BundesligaRound 8
Nürnberg W16:00
Sun 25 Oct
Prediction T-24h
Bayer Leverkusen WMost likelyBayer Leverkusen W win · 74%
Prediction
12%1Nürnberg W
14%XDraw
74%2Bayer Leverkusen W
These are calibrated probabilities. See how closely they've matched real outcomes
Stale predictionPrediction as of 13 Oct 2026Predictions for this league are paused — this is the last one we made, not a live call.
Odds comparison
| Bookmaker | Nürnberg W | Bayer Leverkusen W |
|---|
Bookmaker names shown for reference only. No affiliate links.
Stake sizer
This prediction is stale (paused league or not refreshed), so we size nothing on it.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
Match context
Strength-adjusted form
Nürnberg W
- L1-21HW
- L1-5HSW
- L1-2RLW
- D3-3SW
- D1-1EFW
↑ stronger · = even · ↓ weaker opponent
Bayer Leverkusen W
- W3-2WBW
- W2-1SFW
- L2-3BMW
- W2-11HW
- L1-2VWW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Nürnberg W
No reported absences.
Bayer Leverkusen W
No reported absences.
Head to head
Nürnberg W 0Draws 0Bayer Leverkusen W 4
- BLW 4-0 NW
- NW 0-1 BLW
- NW 1-2 BLW
- BLW 6-0 NW
Recent form
Recent form — context only, not a tip.
Nürnberg W
Goals
- Scored / game
- 1.4last 10
- Conceded / game
- 2.9last 10
- Clean sheets
- 1 / 10
- BTTS
- 8 / 10
- Over 2.5
- 8 / 10
Bayer Leverkusen W
Goals
- Scored / game
- 2.4last 10
- Conceded / game
- 1.4last 10
- Clean sheets
- 2 / 10
- BTTS
- 8 / 10
- Over 2.5
- 9 / 10
Line movement
Nürnberg W—
No line movement recorded yet
Draw—
No line movement recorded yet
Bayer Leverkusen W—
No line movement recorded yet
Under the hood
How the model sees this match — the drivers and, after full-time, how the prediction scored.
Why this prediction
ExplanationAI · grounded
The model leans toward a Bayer Leverkusen W result here, shaped mainly by Expected goals (away) and Expected goals (home). The probabilities come from the model — the prose only narrates them.
The AI writes the prose. It never produces or adjusts a probability — those come only from the model.
How we make these predictionsTop model factors
Expected goals (away)2.94Expected goals (home)1.17Goal correlation0.02
The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.