Statistics / Football / USA. USL League Two / Boston City vs Seacoast United Phantoms

Boston City vs Seacoast United Phantoms Statistics & Analysis

Jul 01, 2026 - 23:30
2 1.13
5 1.47
xG Accuracy: 30%
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Seacoast United Phantoms Seacoast United Phantoms ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 2-5 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 09, 2026 · 12:49 UTC Snapshot ID: dp-3423062

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Seacoast United Phantoms win · Boston City 2–5 Seacoast United Phantoms
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: USL League Two
  • Fixture: Boston City vs Seacoast United Phantoms
  • Kickoff: 2026-07-01 23:30:00
  • 1X2 (model): Home 27.5% · Draw 29.2% · Away 43.3%
  • xG (showing): Boston City 1.13 — Seacoast United Phantoms 1.47 (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 53.7% · No 46.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.7% · No 46.3%
  • Correct score (top bin): 1-1 (12.3%)

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.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

October 01, 2026 (UTC)

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