Statistiche / Calcio / Mondo. Amichevoli Club / VfL Wolfsburg vs Havelse

VfL Wolfsburg vs Havelse Statistics & Analysis

VfL Wolfsburg VfL Wolfsburg
Oct 01, 2026 - 14:00
4 1.25
1 1.35
xG Accuracy: 43%
Havelse Havelse
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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 Over 2.5 (5 gol) ✖ Errato
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
  • 1X2 Havelse VfL Wolfsburg ✖ Errato
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-0, 1-2, 2-1 4-1 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Oct 01, 2026 · 01:12 UTC Snapshot ID: dp-12178370

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result VfL Wolfsburg win · VfL Wolfsburg 4–1 Havelse
Prediction ✖ Missed
Decision Grade F

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: Amichevoli Club
  • Fixture: VfL Wolfsburg vs Havelse
  • Kickoff: 2026-10-01 14:00:00
  • 1X2 (model): Home 33.9% · Draw 27.6% · Away 38.6%
  • xG (showing): VfL Wolfsburg 1.25 — Havelse 1.35 (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: 22.7% · Probability edge: +29.1 pts · Est. EV: +133.1%
  • BTTS (model): Yes 53.5% · No 46.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Raccomandazione Storica

Decisione Storica: AI–Market Conflict - No Primary Bet

Esito: Missed — Pre-match 1X2 lean did not match 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 11, 2026 (UTC)

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