Statistiche / Calcio / Cina. League Two Cina / Jiangxi Liansheng vs Dalian Kewei

Jiangxi Liansheng vs Dalian Kewei Statistics & Analysis

Oct 07, 2026 - 11:30
0 1.30
1 1.30
xG Accuracy: 64%
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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 Jiangxi Liansheng Dalian Kewei ✖ Errato
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Oct 01, 2026 · 01:38 UTC Snapshot ID: dp-12183229

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Dalian Kewei win · Jiangxi Liansheng 0–1 Dalian Kewei
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: League Two Cina
  • Fixture: Jiangxi Liansheng vs Dalian Kewei
  • Kickoff: 2026-10-07 11:30:00
  • 1X2 (model): Home 35.2% · Draw 29.6% · Away 35.2%
  • xG (showing): Jiangxi Liansheng 1.3 — Dalian Kewei 1.3 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS Yes
  • Model: 54.5% · Implied: 43.7% · Probability edge: +10.8 pts · Est. EV: +17.2%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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 09, 2026 (UTC)

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