Statistiche / Calcio / Stati Uniti. USL League Two / Patuxent vs Hill City

Patuxent vs Hill City Statistics & Analysis

Patuxent Patuxent
Jun 30, 2026 - 23:00
0 1.16
1 1.44
xG Accuracy: 64%
⚽
Hill City
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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 Hill City Hill City ✔ Corretto
  • Approfondimenti sul Risultato Esatto 1-1, 0-1, 1-2, 1-0, 0-2 0-1 ✔ Corretto

Validation Report

Immutable Snapshot

Prediction Time: Jul 31, 2026 · 18:42 UTC Snapshot ID: dp-2644267

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Hill City win · Patuxent 0–1 Hill City
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: Patuxent vs Hill City
  • Kickoff: 2026-06-30 23:00:00
  • 1X2 (model): Home 28.8% · Draw 29.3% · Away 41.9%
  • xG (showing): Patuxent 1.16 — Hill City 1.44 (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 54.0% · No 46.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.0% · No 46.0%
  • Correct score (top bin): 1-1 (12.4%)

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.

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 29, 2026 (UTC)

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