Marseille W vs FC Fleury 91 W prediction
Feminine Division 1Round 5
Marseille W21:00
Sat 17 Oct
Prediction T-24h
FC Fleury 91 WMost likelyFC Fleury 91 W win · 44%
Prediction
28%1Marseille W
28%XDraw
44%2FC Fleury 91 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 | Marseille W | FC Fleury 91 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
Marseille W
- D3-3SW
- D0-0MW
- W2-1LW
- W1-0LHW
- L0-1DW
↑ stronger · = even · ↓ weaker opponent
FC Fleury 91 W
- L1-3PSG
- W2-0SW
- D1-1NW
- L1-7LW
- D1-1SW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Marseille W
No reported absences.
FC Fleury 91 W
No reported absences.
Head to head
Marseille W 0Draws 1FC Fleury 91 W 1
- FF9 1-1 MW
- MW 0-2 FF9
Recent form
Recent form — context only, not a tip.
Marseille W
Goals
- Scored / game
- 1.1last 10
- Conceded / game
- 1.3last 10
- Clean sheets
- 3 / 10
- BTTS
- 5 / 10
- Over 2.5
- 5 / 10
FC Fleury 91 W
Goals
- Scored / game
- 1.0last 10
- Conceded / game
- 2.1last 10
- Clean sheets
- 1 / 10
- BTTS
- 6 / 10
- Over 2.5
- 4 / 10
Line movement
Marseille W—
No line movement recorded yet
Draw—
No line movement recorded yet
FC Fleury 91 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 FC Fleury 91 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)1.45Expected goals (home)1.12Goal 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.