Prediction Audit: Laval vs Concarneau Prediction, Odds & AI Betting Tips

Jul 25, 2026 - 09:00
1 1.35
2 1.25
xG Accuracy: 74%

The model missed the final outcome (Concarneau win 1–2).

The model had projected Laval at 40.3%, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Laval Concarneau ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Laval higher than the statistical model.

Largest probability gap: Laval -5.3 pp

Outcome Model Closing Market Difference Signal
Laval 40.3% 45.6% -5.3 pp Market Higher
Draw 29.1% 27.2% +1.9 pp Aligned
Concarneau 30.7% 27.3% +3.4 pp Aligned

The closing market estimates Laval's win probability at 45.6%, compared with the model's estimate of 40.3%, a difference of 5.3 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 Concarneau win 1–2.

Market Assessment

The market and model broadly agree on Laval. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

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)
  • 1X2: model leaned Laval; match finished Concarneau

Market lesson

The closing market differed from the model on Laval by 5.3 percentage points (45.6% vs model 40.3%) — in this case the market view proved closer.

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 25, 2026 · 19:53 UTC Forecast generated
    • Model 1X2 · Laval 40.3% · Draw 29.1% · Concarneau 30.6%
    • xG · Laval 1.35 — Concarneau 1.25
  2. Jul 25, 2026 · 08:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Laval 1.95 · Draw 3.27 · Concarneau 3.26
    • Implied 1X2 · Laval 45.6% · Draw 27.2% · Concarneau 27.3%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 08:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Laval 1.95 · Draw 3.27 · Concarneau 3.26
    • Implied 1X2 · Laval 45.6% · Draw 27.2% · Concarneau 27.3%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result Concarneau win · 1–2
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 73/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 13:56 UTC Snapshot ID: dp-1453295

Closing Odds 1.95
AI Fair Odds —
CLV Pending
Final Result Concarneau win · Laval 1–2 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

Quick read on how the model reads this matchup.

  • League: Club Friendlies
  • Fixture: Laval vs Concarneau
  • Kickoff: 2026-07-25 09:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Laval 1.35 — Concarneau 1.25 (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.

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

September 28, 2026 (UTC)

Get Premium Predictions for Laval & Concarneau!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions