FC Gifu vs Tokushima Vortis Statistics & Analysis

FC Gifu

Sep 02, 2026 - 10:00

0(3) 1.32

0(1) 1.28

xG Accuracy: 49%

Tokushima Vortis

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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 (0 gol) ✔ Corretto
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì No ✖ Errato
1X2 FC Gifu Pareggio ✖ Errato
Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Aug 27, 2026 · 01:44 UTC Snapshot ID: dp-5619499

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · FC Gifu 0–0 Tokushima Vortis

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

Quick read on how the model reads this matchup.

League: Coppa J-League
Fixture: FC Gifu vs Tokushima Vortis
Kickoff: 2026-09-02 10:00:00
1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
xG (showing): FC Gifu 1.32 — Tokushima Vortis 1.28 (total xG ≈ 2.6)
Value headline: None (actionable) — best tracked EV is about +1.7%, still below the +2.0% minimum for a headline / default stake (no default bet).
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 Over 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: 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 30, 2026 (UTC)

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