Kelen vs Paks Statistics & Analysis

Kelen

Jun 20, 2026 - 09:00

1 1.17

10 1.43

xG Accuracy: 9%

Paks

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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 (11 gol) ✖ Errato
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 Paks Paks ✔ Corretto
Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-2, 1-0, 0-2 1-10 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 17:24 UTC Snapshot ID: dp-1740502

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Paks win · Kelen 1–10 Paks

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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: Amichevoli Club
Fixture: Kelen vs Paks
Kickoff: 2026-06-20 09:00:00
1X2 (model): Home 15.7% · Draw 21.3% · Away 63.0%
xG (showing): Kelen 1.17 — Paks 1.43 (total xG ≈ 2.6)
Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Raccomandazione Storica

Decisione Storica: AI Value Alert - 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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