Statistiche / Calcio / Stati Uniti. USL League Two / Bangers vs Ballard

Bangers vs Ballard Statistics & Analysis

Bangers Bangers
Jun 15, 2026 - 02:00
0 1.14
2 1.46
xG Accuracy: 63%
Ballard Ballard
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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 No ✖ Errato
  • 1X2 Ballard Ballard ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-2, 1-0, 0-2 0-2 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 04:17 UTC Snapshot ID: dp-1549758

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Ballard win · Bangers 0–2 Ballard
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

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

  • League: USL League Two
  • Fixture: Bangers vs Ballard
  • Kickoff: 2026-06-15 02:00:00
  • 1X2 (model): Home 27.9% · Draw 29.2% · Away 42.9%
  • xG (showing): Bangers 1.14 — Ballard 1.46 (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

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: 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 27, 2026 (UTC)

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