Colmar vs Biesheim Statistics & Analysis

Aug 29, 2026 - 16:00
1 1.32
0 1.28
xG Accuracy: 64%
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Mercati tracciati vs risultato finale

Ogni riga confronta la tendenza del modello pre-partita con il risultato finale.

  • Mercato Previsione Risultato Esito
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 gol) ✔ Corretto
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì No ✖ Errato
  • 1X2 Colmar Colmar ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Aug 23, 2026 · 04:22 UTC Snapshot ID: dp-5155493

Closing Odds Pending
AI Fair Odds
CLV Pending
Final Result Colmar win · Colmar 1–0 Biesheim
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

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

  • League: National 2 - Gruppo A
  • Fixture: Colmar vs Biesheim
  • Kickoff: 2026-08-29 16:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Colmar 1.32 — Biesheim 1.28 (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): Structural lean (model): O/U 2.5 Under 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 Under 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.

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

Raccomandazione Storica

Decisione Storica: No Primary Bet

Esito: Validated — Pre-match lean validated against the full-time result.

Fattori di Rischio Considerati Prima del Calcio d'Inizio

  • 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%).

Ultimo aggiornamento

September 16, 2026 (UTC)

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Torna alle Statistiche
National 2 - Gruppo A National 2 - Gruppo AClassifiche
# SQUADRA PG V P S PT
1 Saint-Maur Lusitanos 4 3 1 0 10
2 Chambly Thelle FC 4 3 0 1 9
3 Furiani-Agliani 4 2 2 0 8
4 Dieppe 4 2 2 0 8
5 Racing Colombes 92 3 2 0 1 6
6 Feignies-Aulnoye 4 1 3 0 6
7 Haguenau 4 2 0 2 6
8 Epinal 4 1 2 1 5
9 Colmar 4 1 2 1 5
10 Creteil 4 1 2 1 5
11 Montlouis 4 0 3 1 3
12 Bastia-Borgo 3 0 2 1 2
13 St-Pryvé St-Hilaire 4 0 2 2 2
14 Le Pays du Valois 4 0 2 2 2
15 Biesheim 4 0 2 2 2
16 Chantilly 4 0 1 3 1
# SQUADRA PG GS GC +/- PT
1 Furiani-Agliani 4 8 3 +5 8
2 Saint-Maur Lusitanos 4 7 4 +3 10
3 Chambly Thelle FC 4 6 4 +2 9
4 Racing Colombes 92 3 6 4 +2 6
5 Le Pays du Valois 4 6 9 -3 2
6 Dieppe 4 5 2 +3 8
7 Haguenau 4 5 3 +2 6
8 Epinal 4 5 4 +1 5
9 Feignies-Aulnoye 4 4 3 +1 6
10 Colmar 4 4 4 0 5
11 St-Pryvé St-Hilaire 4 4 6 -2 2
12 Montlouis 4 3 4 -1 3
13 Bastia-Borgo 3 3 4 -1 2
14 Chantilly 4 3 12 -9 1
15 Creteil 4 2 2 0 5
16 Biesheim 4 2 5 -3 2