Statistiche / Calcio / Stati Uniti. USL League Two / Stars FC vs City SC

Stars FC vs City SC Statistics & Analysis

Stars FC Stars FC
Jun 25, 2026 - 02:30
5 1.20
2 1.40
xG Accuracy: 30%
City SC City SC
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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 (7 gol) ✖ Errato
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
  • 1X2 City SC Stars FC ✖ Errato
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-0, 1-2, 2-1 5-2 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Jul 28, 2026 · 06:55 UTC Snapshot ID: dp-2144334

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Stars FC win · Stars FC 5–2 City SC
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: USL League Two
  • Fixture: Stars FC vs City SC
  • Kickoff: 2026-06-25 02:30:00
  • 1X2 (model): Home 30.6% · Draw 29.5% · Away 40.0%
  • xG (showing): Stars FC 1.2 — City SC 1.4 (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

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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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