Sturm Graz vs Kalsdorf Statistics & Analysis

Sturm Graz

Jul 08, 2026 - 16:00

4 1.32

1 1.28

xG Accuracy: 44%

Kalsdorf

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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 Sturm Graz Sturm Graz ✔ Corretto
Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 4-1 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 06:52 UTC Snapshot ID: dp-1559975

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Sturm Graz win · Sturm Graz 4–1 Kalsdorf

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: Sturm Graz vs Kalsdorf
Kickoff: 2026-07-08 16:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): Sturm Graz 1.32 — Kalsdorf 1.28 (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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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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