Altona 93 vs Harksheide Statistics & Analysis

Altona 93

Sep 26, 2026 - 13:30

1 1.53

1 1.07

xG Accuracy: 85%

Harksheide

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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 (2 gol) ✔ Corretto
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 Altona 93 Pareggio ✖ Errato
Approfondimenti sul Risultato Esatto 1-1, 1-0, 2-1, 2-0, 0-1 1-1 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:28 UTC Snapshot ID: dp-10092324

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · Altona 93 1–1 Harksheide

Prediction ✖ Missed

Decision Grade C

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: Oberliga - Amburgo
Fixture: Altona 93 vs Harksheide
Kickoff: 2026-09-26 13:30:00
1X2 (model): Home 46.3% · Draw 28.7% · Away 24.9%
xG (showing): Altona 93 1.53 — Harksheide 1.07 (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 53.0% · No 46.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 53.0% · No 46.9%
Correct score (top bin): 1-1 (12.2%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 10, 2026 (UTC)

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