USC Rohrbach vs Gloggnitz Statistics & Analysis

USC Rohrbach

Jun 27, 2026 - 16:00

0 1.36

1 1.24

xG Accuracy: 64%

Gloggnitz

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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 USC Rohrbach Gloggnitz ✖ Errato
Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 0-1 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 04:22 UTC Snapshot ID: dp-1550596

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Gloggnitz win · USC Rohrbach 0–1 Gloggnitz

Prediction ✖ Missed

Decision Grade F

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: Amichevoli Club
Fixture: USC Rohrbach vs Gloggnitz
Kickoff: 2026-06-27 16:00:00
1X2 (model): Home 38.0% · Draw 29.6% · Away 32.4%
xG (showing): USC Rohrbach 1.36 — Gloggnitz 1.24 (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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Raccomandazione Storica

Decisione Storica: No Primary Bet

Esito: Missed — Pre-match 1X2 lean did not match 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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