Statistics / Football / France. Feminine Division 1 / Toulouse W vs Le Havre W

Toulouse W vs Le Havre W Statistics & Analysis

Sep 12, 2026 - 16:00
1 0.91
2 0.84
xG Accuracy: 71%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 draw Le Havre W ✖ Incorrect
  • Correct Score Insights 0-0, 1-0, 0-1, 1-1, 2-0 1-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 02:30 UTC Snapshot ID: dp-7462837

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Le Havre W win · Toulouse W 1–2 Le Havre W
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Feminine Division 1
  • Fixture: Toulouse W vs Le Havre W
  • Kickoff: 2026-09-12 16:00:00
  • 1X2 (model): Home 33.5% · Draw 36.9% · Away 29.6%
  • xG (showing): Toulouse W 0.91 — Le Havre W 0.84 (total xG ≈ 1.75)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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Back to Statistics
Feminine Division 1 Feminine Division 1 — Standings
# TEAM MP W D L PTS
1 Lyon W 3 3 0 0 9
2 Paris Saint Germain W 3 3 0 0 9
3 Marseille W 3 2 1 0 7
4 Paris FC W 3 2 0 1 6
5 Montpellier W 3 1 1 1 4
6 FC Fleury 91 W 3 1 1 1 4
7 Strasbourg W 3 1 0 2 3
8 Le Havre W 3 1 0 2 3
9 Saint-Malo W 3 1 0 2 3
10 Lens W 3 0 1 2 1
11 Toulouse W 3 0 1 2 1
12 Nantes W 3 0 1 2 1
# TEAM MP GS GC +/- PTS
1 Lyon W 3 22 3 +19 9
2 Paris Saint Germain W 3 5 0 +5 9
3 Montpellier W 3 5 2 +3 4
4 Paris FC W 3 5 7 -2 6
5 FC Fleury 91 W 3 4 8 -4 4
6 Toulouse W 3 4 9 -5 1
7 Marseille W 3 3 1 +2 7
8 Saint-Malo W 3 3 5 -2 3
9 Strasbourg W 3 3 6 -3 3
10 Lens W 3 3 6 -3 1
11 Le Havre W 3 3 10 -7 3
12 Nantes W 3 1 4 -3 1
# TEAM MP xG xGC +/- PTS
1 Lyon W 3 1.4 0.3 +1.1 9
2 FC Fleury 91 W 3 0.3 1.4 -1.1 4
3 Paris Saint Germain W 3 — — — 9
4 Marseille W 3 — — — 7
5 Paris FC W 3 — — — 6
6 Montpellier W 3 — — — 4
7 Strasbourg W 3 — — — 3
8 Le Havre W 3 — — — 3
9 Saint-Malo W 3 — — — 3
10 Lens W 3 — — — 1
11 Toulouse W 3 — — — 1
12 Nantes W 3 — — — 1