Nijlen vs Tempo Overijse Statistics & Analysis

Sep 05, 2026 - 18:00
0 1.25
5 1.35
xG Accuracy: 26%
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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 No ✖ Errato
  • 1X2 Tempo Overijse Tempo Overijse ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-0, 1-2, 2-1 0-5 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 04:06 UTC Snapshot ID: dp-6166594

Closing Odds Pending
AI Fair Odds
CLV Pending
Final Result Tempo Overijse win · Nijlen 0–5 Tempo Overijse
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): +37.5%

Briefing AI della partita

Riepilogo AI della partita

Quick read on how the model reads this matchup.

  • League: Seconda Divisione Amatoriale - VFV B
  • Fixture: Nijlen vs Tempo Overijse
  • Kickoff: 2026-09-05 18:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): Nijlen 1.25 — Tempo Overijse 1.35 (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 15, 2026 (UTC)

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