Statistics / Football / France. National 1 / Cannes vs Quevilly

Cannes vs Quevilly Statistics & Analysis

Oct 03, 2026 - 18:45
3 1.33
1 1.27
xG Accuracy: 59%
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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Cannes Cannes ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 27, 2026 · 03:47 UTC Snapshot ID: dp-11260254

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Cannes win · Cannes 3–1 Quevilly
Prediction ✔ Correct
Decision Grade A

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: National 1
  • Fixture: Cannes vs Quevilly
  • Kickoff: 2026-10-03 18:45:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Cannes 1.33 — Quevilly 1.27 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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: Validated — Pre-match lean validated against 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 10, 2026 (UTC)

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Back to Statistics
National 1 National 1 — Standings
# TEAM MP W D L PTS
1 La Roche VF 9 6 3 0 21
2 Rouen 9 6 2 1 20
3 Concarneau 9 4 4 1 16
4 Versailles 9 5 1 3 16
5 Amiens 9 4 3 2 15
6 Cannes 9 3 6 0 15
7 Caen 9 5 0 4 15
8 Le Puy Foot 9 4 1 4 13
9 Thionville Lusitanos 9 3 3 3 12
10 Fleury 91 9 3 3 3 12
11 Gobelins 9 3 3 3 12
12 Bastia 9 3 2 4 11
13 Quevilly 9 2 4 3 10
14 Orleans 9 2 3 4 9
15 Valenciennes 9 2 2 5 8
16 Aubagne 9 2 1 6 7
17 Bourg-en-bresse 01 9 1 2 6 5
18 Villefranche 9 1 1 7 4
# TEAM MP GS GC +/- PTS
1 Rouen 9 17 5 +12 20
2 Caen 9 17 12 +5 15
3 La Roche VF 9 15 8 +7 21
4 Fleury 91 9 15 12 +3 12
5 Thionville Lusitanos 9 14 14 0 12
6 Versailles 9 13 12 +1 16
7 Amiens 9 12 3 +9 15
8 Concarneau 9 12 8 +4 16
9 Cannes 9 11 4 +7 15
10 Le Puy Foot 9 11 9 +2 13
11 Valenciennes 9 9 14 -5 8
12 Quevilly 9 8 12 -4 10
13 Gobelins 9 7 9 -2 12
14 Bastia 9 7 11 -4 11
15 Orleans 9 7 11 -4 9
16 Villefranche 9 7 22 -15 4
17 Aubagne 9 6 12 -6 7
18 Bourg-en-bresse 01 9 5 15 -10 5
National 1 France. National 1 Predictions