Predictions / Football / France. National 1 / Bourg-en-bresse 01 vs Concarneau

Prediction Audit: Bourg-en-bresse 01 vs Concarneau Prediction, Odds & AI Betting Tips

Bourg-en-bresse 01 Bourg-en-bresse 01
Sep 26, 2026 - 18:45
1 1.28
1 1.32
xG Accuracy: 85%
Concarneau Concarneau

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

The model had projected Concarneau at 36.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Concarneau 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 Concarneau higher than the statistical model.

Largest probability gap: Concarneau -15.2 pp

Outcome Model Closing Market Difference Signal
Bourg-en-bresse 01 34.2% 20.3% +13.9 pp Model Edge
Draw 29.6% 28.4% +1.2 pp Aligned
Concarneau 36.1% 51.3% -15.2 pp Market Higher

The closing market estimates Concarneau's win probability at 51.3%, compared with the model's estimate of 36.1%, a difference of 15.2 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: PRE1.

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

Market Assessment

The market is materially more optimistic about Concarneau 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
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Concarneau; match finished Draw

Market lesson

The closing market differed from the model on Concarneau by 15.2 percentage points (51.3% vs model 36.1%) — 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. Sep 26, 2026 · 18:44 UTC Forecast generated
    • Model 1X2 · Bourg-en-bresse 01 34.2% · Draw 29.7% · Concarneau 36.1%
    • xG · Bourg-en-bresse 01 1.28 — Concarneau 1.32
  2. Sep 26, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bourg-en-bresse 01 4.67 · Draw 3.34 · Concarneau 1.85
    • Implied 1X2 · Bourg-en-bresse 01 20.3% · Draw 28.4% · Concarneau 51.3%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bourg-en-bresse 01 4.67 · Draw 3.34 · Concarneau 1.85
    • Implied 1X2 · Bourg-en-bresse 01 20.3% · Draw 28.4% · Concarneau 51.3%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 18:45 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 (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 24/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:58 UTC Snapshot ID: dp-10118605

Closing Odds 1.85
AI Fair Odds —
CLV Pending
Final Result Draw · Bourg-en-bresse 01 1–1 Concarneau
Prediction ✖ Missed
Decision Grade F

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

Pre-match snapshot for this fixture.

  • League: National 1
  • Fixture: Bourg-en-bresse 01 vs Concarneau
  • Kickoff: 2026-09-26 18:45:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Bourg-en-bresse 01 1.28 — Concarneau 1.32 (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 Over 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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 30, 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
National 1 France. National 1 Predictions