Montpellier W vs Le Havre W prediction
Feminine Division 1Round 5
Montpellier W18:00
Sat 17 Oct
Prediction T-24h
Le Havre WMost likelyMontpellier W win · 51%
Prediction
51%1Montpellier W
25%XDraw
24%2Le Havre 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 | Montpellier W | Le Havre 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
Montpellier W
- D1-1NW
- D0-0MW
- L0-1SW
- W5-1TW
- L1-3LW
↑ stronger · = even · ↓ weaker opponent
Le Havre W
- W2-0SW
- L1-8LW
- W2-1TW
- L0-1MW
- D3-3NW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Montpellier W
No reported absences.
Le Havre W
No reported absences.
Head to head
Montpellier W 2Draws 1Le Havre W 3
- MW 1-2 LHW
- LHW 3-2 MW
- MW 1-3 LHW
- LHW 0-1 MW
- LHW 3-3 MW
Recent form
Recent form — context only, not a tip.
Montpellier W
Goals
- Scored / game
- 1.3last 10
- Conceded / game
- 1.4last 10
- Clean sheets
- 2 / 10
- BTTS
- 6 / 10
- Over 2.5
- 5 / 10
Le Havre W
Goals
- Scored / game
- 1.4last 10
- Conceded / game
- 2.3last 10
- Clean sheets
- 1 / 10
- BTTS
- 6 / 10
- Over 2.5
- 7 / 10
Line movement
Montpellier W—
No line movement recorded yet
Draw—
No line movement recorded yet
Le Havre 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 Montpellier W result here, shaped mainly by Expected goals (home) and Expected goals (away). 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 (home)1.78Expected goals (away)1.15Goal correlation-0.07
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.