Statistiche / Calcio / Romania. Cupa României / Timişul Şag vs Progresul Pecica

Timişul Şag vs Progresul Pecica Statistics & Analysis

Jul 29, 2026 - 14:30
1 1.33
0 1.27
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 Timişul Şag Timişul Şag ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Jul 28, 2026 · 02:14 UTC Snapshot ID: dp-2117697

Closing Odds Pending
AI Fair Odds
CLV Pending
Final Result Timişul Şag win · Timişul Şag 1–0 Progresul Pecica
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

Pre-match snapshot for this fixture.

  • League: Cupa României
  • Fixture: Timişul Şag vs Progresul Pecica
  • Kickoff: 2026-07-29 14:30:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Timişul Şag 1.33 — Progresul Pecica 1.27 (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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 22, 2026 (UTC)

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