Lebring vs Mooskirchen Statistics & Analysis

Lebring

Jul 17, 2026 - 17:00

9 1.32

3 1.28

xG Accuracy: 8%

Mooskirchen

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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 (12 gol) ✖ Errato
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 Lebring Lebring ✔ Corretto
Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 9-3 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Aug 18, 2026 · 22:35 UTC Snapshot ID: dp-4534781

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Lebring win · Lebring 9–3 Mooskirchen

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: Club Friendlies
Fixture: Lebring vs Mooskirchen
Kickoff: 2026-07-17 17:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): Lebring 1.32 — Mooskirchen 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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

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.

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: 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 25, 2026 (UTC)

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