Asheville City W vs SSA Royals Statistics & Analysis

Tracked markets vs full-time result

Validation Report

AI match briefing

Model Performance

AI Match Summary

Historical Recommendation

Risk Factors Considered Before Kickoff

Last Updated

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USL W League — Standings

Asheville City W

Jun 13, 2026 - 19:30

4 1.46

0 1.14

xG Accuracy: 36%

SSA Royals

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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 (4 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Asheville City W Asheville City W ✔ Correct
Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 4-0 ✖ Incorrect

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 03:28 UTC Snapshot ID: dp-5307353

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Asheville City W win · Asheville City W 4–0 SSA Royals

Prediction ✔ Correct

Decision Grade F

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Quick read on how the model reads this matchup.

League: USL W League
Fixture: Asheville City W vs SSA Royals
Kickoff: 2026-06-13 19:30:00
1X2 (model): Home 42.9% · Draw 29.2% · Away 27.9%
xG (showing): Asheville City W 1.46 — SSA Royals 1.14 (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 53.8% · No 46.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 53.8% · No 46.2%
Correct score (top bin): 1-1 (12.4%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Decision: No Primary Bet

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

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%).

October 01, 2026 (UTC)

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