Predictions / Football / France. Ligue 2 / Nancy vs Dunkerque

Prediction Audit: Nancy vs Dunkerque Prediction, Odds & AI Betting Tips

Nancy Nancy
May 09, 2026 - 18:00
3 1.08
2 0.83
xG Accuracy: 43%
Dunkerque Dunkerque

AI correctly predicted the Nancy win.

The match finished 3–2, validating the model's directional assessment.

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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Nancy Nancy ✔ Correct
  • Correct Score Insights 1-0, 0-0, 1-1, 0-1, 2-0 3-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Dunkerque higher than the statistical model.

Largest probability gap: Dunkerque -9.7 pp

Outcome Model Closing Market Difference Signal
Nancy 39.2% 36.1% +3.2 pp Aligned
Draw 34.8% 28.3% +6.6 pp Model Higher
Dunkerque 25.9% 35.7% -9.7 pp Market Higher

The closing market estimates Dunkerque's win probability at 35.7%, compared with the model's estimate of 25.9%, a difference of 9.7 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 model's directional lean matched the result (Nancy win 3–2).

Market Assessment

The market and model broadly agree on Dunkerque. 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 failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Nancy higher (48.9% vs model 39.2%, 9.7 pp), but the model's lean was validated (Nancy win 3–2).

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Prediction Timeline

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

  1. May 09, 2026 · 14:55 UTC Forecast generated
    • Model 1X2 · Nancy 39.2% · Draw 34.9% · Dunkerque 25.9%
    • xG · Nancy 1.08 — Dunkerque 0.83
  2. May 09, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nancy 2.64 · Draw 3.37 · Dunkerque 2.67
    • Implied 1X2 · Nancy 36.1% · Draw 28.3% · Dunkerque 35.7%
    • Bookmaker · Pinnacle
  3. May 09, 2026 · 14:55 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Nancy 2.64 · Draw 3.37 · Dunkerque 2.67
    • Implied 1X2 · Nancy 36.1% · Draw 28.3% · Dunkerque 35.7%
    • Bookmaker · Pinnacle
  4. May 09, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Nancy win · 3–2
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 51/100
Betting Confidence 77/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 07, 2026 · 08:16 UTC Snapshot ID: dp-3165114

Closing Odds 2.67
AI Fair Odds —
CLV Pending
Final Result Nancy win · Nancy 3–2 Dunkerque
Prediction ✔ Correct
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

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

  • League: Ligue 2
  • Fixture: Nancy vs Dunkerque
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 39.2% · Draw 34.9% · Away 25.9%
  • xG (showing): Nancy 1.08 — Dunkerque 0.83 (total xG ≈ 1.91)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 70.1% · Implied: 45.4% · Probability edge: +24.7 pts · Est. EV: +50.0%
  • BTTS (model): Yes 39.0% · No 61.0%
  • Correct score (top bin): 1-0 (16.0%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

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 05, 2026 (UTC)

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Ligue 2 Ligue 2 — Standings
# TEAM MP W D L PTS
1 Estac Troyes 34 20 7 7 67
2 Saint Etienne 34 18 6 10 60
3 Le Mans 33 15 14 4 59
4 RED Star FC 93 34 16 10 8 58
5 Rodez 34 15 13 6 58
6 Reims 34 14 14 6 56
7 Annecy 34 15 7 12 52
8 Montpellier 34 14 9 11 51
9 PAU 34 12 9 13 45
10 Dunkerque 34 11 10 13 43
11 Guingamp 34 10 10 14 40
12 Grenoble 34 8 15 11 39
13 Clermont Foot 34 9 10 15 37
14 Nancy 34 9 10 15 37
15 Boulogne 34 9 9 16 36
16 Laval 34 6 14 14 32
17 Bastia 33 5 13 15 28
18 Amiens 34 6 6 22 24
# TEAM MP GS GC +/- PTS
1 Estac Troyes 34 60 33 +27 67
2 Saint Etienne 34 59 38 +21 60
3 Reims 34 53 35 +18 56
4 Dunkerque 34 53 45 +8 43
5 Annecy 34 49 39 +10 52
6 Le Mans 33 48 31 +17 59
7 PAU 34 48 62 -14 45
8 RED Star FC 93 34 45 37 +8 58
9 Rodez 34 45 39 +6 58
10 Guingamp 34 42 49 -7 40
11 Montpellier 34 41 31 +10 51
12 Clermont Foot 34 38 44 -6 37
13 Amiens 34 37 65 -28 24
14 Nancy 34 35 52 -17 37
15 Boulogne 34 34 49 -15 36
16 Grenoble 34 33 39 -6 39
17 Laval 34 30 48 -18 32
18 Bastia 33 23 37 -14 28
# TEAM MP xG xGC +/- PTS
1 Estac Troyes 34 24.9 17.8 +7.1 67
2 PAU 34 24.1 17.0 +7.1 45
3 Reims 34 21.9 15.1 +6.8 56
4 Saint Etienne 34 22.9 18.3 +4.6 60
5 Le Mans 33 20.8 17.6 +3.2 59
6 Dunkerque 34 20.2 17.3 +2.9 43
7 Guingamp 34 21.2 19.1 +2.1 40
8 Boulogne 34 20.0 17.9 +2.1 36
9 Annecy 34 17.4 15.3 +2.1 52
10 RED Star FC 93 34 18.4 16.8 +1.6 58
11 Montpellier 34 21.5 20.0 +1.5 51
12 Nancy 34 19.7 20.1 -0.4 37
13 Bastia 33 16.6 18.1 -1.5 28
14 Grenoble 34 18.9 23.3 -4.4 39
15 Laval 34 14.8 19.7 -4.9 32
16 Rodez 34 20.2 27.6 -7.4 58
17 Clermont Foot 34 16.0 26.0 -10.0 37
18 Amiens 34 14.8 27.2 -12.4 24
Ligue 2 France. Ligue 2 Predictions