Statistiche / Calcio / Stati Uniti. USL League Two / Bigfoot vs Midlakes United

Bigfoot vs Midlakes United Statistics & Analysis

Jul 12, 2026 - 23:00
1 1.31
4 1.29
xG Accuracy: 44%
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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 (5 gol) ✖ Errato
  • Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
  • 1X2 Bigfoot Midlakes United ✖ Errato
  • Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 1-4 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 02:50 UTC Snapshot ID: dp-1538109

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Midlakes United win · Bigfoot 1–4 Midlakes United
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: USL League Two
  • Fixture: Bigfoot vs Midlakes United
  • Kickoff: 2026-07-12 23:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Bigfoot 1.31 — Midlakes United 1.29 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

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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