Charlotte Eagles vs Charlotte Independence 2 Statistics & Analysis

Charlotte Eagles

Jun 13, 2026 - 23:30

0 1.29

1 1.31

xG Accuracy: 64%

Charlotte Independence 2

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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 (1 goals) ✔ Correct
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Charlotte Independence 2 Charlotte Independence 2 ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 04:19 UTC Snapshot ID: dp-1550050

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Charlotte Independence 2 win · Charlotte Eagles 0–1 Charlotte Independence 2

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: Charlotte Eagles vs Charlotte Independence 2
Kickoff: 2026-06-13 23:30:00
1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
xG (showing): Charlotte Eagles 1.29 — Charlotte Independence 2 1.31 (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.

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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