Statistiche / Calcio / Mondo. CONCACAF Nations League / French Guyana vs Sint Maarten

French Guyana vs Sint Maarten Statistics & Analysis

French Guyana French Guyana
Sep 29, 2026 - 21:00
1 1.36
0 1.24
xG Accuracy: 64%
Sint Maarten Sint Maarten
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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) No No ✔ Corretto
  • 1X2 French Guyana French Guyana ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Sep 23, 2026 · 02:23 UTC Snapshot ID: dp-10422369

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result French Guyana win · French Guyana 1–0 Sint Maarten
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

Quick read on how the model reads this matchup.

  • League: CONCACAF Nations League
  • Fixture: French Guyana vs Sint Maarten
  • Kickoff: 2026-09-29 21:00:00
  • 1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
  • xG (showing): French Guyana 1.36 — Sint Maarten 1.24 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 43.5% · Probability edge: +8.4 pts · Est. EV: +14.0%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Raccomandazione Storica

Decisione Storica: Selective Lean - 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

October 08, 2026 (UTC)

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