Statistics / Football / World. Friendlies Clubs / Folkestone Invicta vs Charlton Athletic U21

Folkestone Invicta vs Charlton Athletic U21 Statistics & Analysis

Jul 18, 2026 - 14:00
2 1.35
0 1.25
xG Accuracy: 59%
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Folkestone Invicta Folkestone Invicta ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 17:51 UTC Snapshot ID: dp-1906364

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Folkestone Invicta win · Folkestone Invicta 2–0 Charlton Athletic U21
Prediction ✔ Correct
Decision Grade B-

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: Club Friendlies
  • Fixture: Folkestone Invicta vs Charlton Athletic U21
  • Kickoff: 2026-07-18 14:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Folkestone Invicta 1.35 — Charlton Athletic U21 1.25 (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

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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

September 28, 2026 (UTC)

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