Predictions / Football / World. Friendlies Clubs / Bourg-en-bresse 01 vs Dijon

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

Bourg-en-bresse 01 Bourg-en-bresse 01
Jul 22, 2026 - 17:00
1 1.33
2 1.27
xG Accuracy: 75%
Dijon Dijon

AI correctly predicted the Dijon win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes Yes ✔ Correct
  • 1X2 Dijon Dijon ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Dijon higher than the statistical model.

Largest probability gap: Dijon -19.1 pp

Outcome Model Closing Market Difference Signal
Bourg-en-bresse 01 29.4% 16.2% +13.2 pp Model Edge
Draw 28.1% 22.1% +5.9 pp Model Higher
Dijon 42.5% 61.7% -19.1 pp Market Higher

The closing market estimates Dijon's win probability at 61.7%, compared with the model's estimate of 42.5%, a difference of 19.1 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 model's directional lean matched the result (Dijon win 1–2).

Market Assessment

The market is materially more optimistic about Dijon 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Dijon higher (61.6% vs model 42.5%, 19.1 pp), but the model's lean was validated (Dijon win 1–2).

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Jul 22, 2026 · 19:39 UTC Forecast generated
    • Model 1X2 · Bourg-en-bresse 01 29.4% · Draw 28.0% · Dijon 42.6%
    • xG · Bourg-en-bresse 01 1.33 — Dijon 1.27
  2. Jul 22, 2026 · 16:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Bourg-en-bresse 01 5.49 · Draw 4.01 · Dijon 1.44
    • Implied 1X2 · Bourg-en-bresse 01 16.2% · Draw 22.1% · Dijon 61.7%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Bourg-en-bresse 01 5.49 · Draw 4.01 · Dijon 1.44
    • Implied 1X2 · Bourg-en-bresse 01 16.2% · Draw 22.1% · Dijon 61.7%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Dijon win · 1–2
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 53/100 · Moderate
  • Validation: Warning
  • Large market gap (19 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 4/100
Betting Confidence 42/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 29, 2026 · 08:08 UTC Snapshot ID: dp-2336693

Closing Odds 1.44
AI Fair Odds —
CLV Pending
Final Result Dijon win · Bourg-en-bresse 01 1–2 Dijon
Prediction ✔ Correct
Decision Grade B-

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: Club Friendlies
  • Fixture: Bourg-en-Bresse 01 vs Dijon FCO
  • Kickoff: 2026-07-22 17:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Bourg-en-Bresse 01 1.33 — Dijon FCO 1.27 (total xG ≈ 2.6)
  • 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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

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

September 30, 2026 (UTC)

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