Statistics / Football / England. FA Cup / Mulbarton Wanderers vs Gloucester City

Mulbarton Wanderers vs Gloucester City Statistics & Analysis

Mulbarton Wanderers Mulbarton Wanderers
Oct 03, 2026 - 14:00
1 1.32
2 1.28
xG Accuracy: 75%
Gloucester City Gloucester City
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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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Mulbarton Wanderers Gloucester City ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 27, 2026 · 02:55 UTC Snapshot ID: dp-11246881

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Gloucester City win · Mulbarton Wanderers 1–2 Gloucester City
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: FA Cup
  • Fixture: Mulbarton Wanderers vs Gloucester City
  • Kickoff: 2026-10-03 14:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Mulbarton Wanderers 1.32 — Gloucester City 1.28 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 44.5% · Probability edge: +7.3 pts · Est. EV: +10.3%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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 07, 2026 (UTC)

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