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

Nancy vs Dunkerque Statistics & Analysis

Nancy Nancy
May 09, 2026 - 18:00
3 1.08
2 0.83
xG Accuracy: 43%
Dunkerque Dunkerque
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • 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 3-2 ✖ Incorrect

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.

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
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
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