Statistiche / Calcio / Mondo. Amichevoli Club / Jablonec II vs Příbram II

Jablonec II vs Příbram II Statistics & Analysis

Jul 22, 2026 - 15:00
5 1.38
1 1.22
xG Accuracy: 35%
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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 (6 gol) ✖ Errato
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
  • 1X2 Jablonec II Jablonec II ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 5-1 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Aug 02, 2026 · 21:36 UTC Snapshot ID: dp-2901655

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Jablonec II win · Jablonec II 5–1 Příbram II
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

Quick read on how the model reads this matchup.

  • League: Club Friendlies
  • Fixture: FK Jablonec II vs Příbram II
  • Kickoff: 2026-07-22 15:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): FK Jablonec II 1.38 — Příbram II 1.22 (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

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 28, 2026 (UTC)

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