Predictions / Football / France. National 1 / Cannes vs Fleury 91

Prediction Audit: Cannes vs Fleury 91 Prediction, Odds & AI Betting Tips

Aug 14, 2026 - 17:00
1 1.25
1 1.35
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Fleury 91 at 37.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Fleury 91 Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Cannes higher than the statistical model.

Largest probability gap: Cannes -16.4 pp

Outcome Model Closing Market Difference Signal
Cannes 32.9% 49.2% -16.4 pp Market Higher
Draw 29.6% 28.9% +0.7 pp Aligned
Fleury 91 37.5% 21.9% +15.7 pp Model Edge

The closing market estimates Cannes's win probability at 49.2%, compared with the model's estimate of 32.9%, a difference of 16.4 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE5.

After full time, the result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Cannes than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Fleury 91; match finished Draw

Market lesson

The closing market differed from the model on Fleury 91 by 16.4 percentage points (53.9% vs model 37.5%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 14, 2026 · 16:57 UTC Forecast generated
    • Model 1X2 · Cannes 32.9% · Draw 29.6% · Fleury 91 37.6%
    • xG · Cannes 1.25 — Fleury 91 1.35
  2. Aug 14, 2026 · 16:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Cannes 1.93 · Draw 3.29 · Fleury 91 4.35
    • Implied 1X2 · Cannes 49.2% · Draw 28.9% · Fleury 91 21.9%
    • Bookmaker · Pinnacle
  3. Aug 14, 2026 · 16:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Cannes 1.93 · Draw 3.29 · Fleury 91 4.35
    • Implied 1X2 · Cannes 49.2% · Draw 28.9% · Fleury 91 21.9%
    • Bookmaker · Pinnacle
  4. Aug 14, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 6/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 08, 2026 · 01:42 UTC Snapshot ID: dp-3230587

Closing Odds 1.93
AI Fair Odds —
CLV Pending
Final Result Draw · Cannes 1–1 Fleury 91
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: National 1
  • Fixture: Cannes vs Fleury 91
  • Kickoff: 2026-08-14 17:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Cannes 1.25 — Fleury 91 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Fleury 91
  • Model: 37.6% · Implied: 21.9% · Probability edge: +15.7 pts · Est. EV: +5.5%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

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

September 29, 2026 (UTC)

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