Staten Island Athletic vs Long Island Rough Riders Statistics & Analysis

Staten Island Athletic

Jun 27, 2026 - 22:00

0 1.13

6 1.47

xG Accuracy: 21%

Long Island Rough Riders

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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 (6 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Long Island Rough Riders Long Island Rough Riders ✔ Correct
Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-6 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 23:53 UTC Snapshot ID: dp-1658210

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Long Island Rough Riders win · Staten Island Athletic 0–6 Long Island Rough Riders

Prediction ✔ Correct

Decision Grade F

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: Staten Island Athletic vs Long Island Rough Riders
Kickoff: 2026-06-27 22:00:00
1X2 (model): Home 27.5% · Draw 29.2% · Away 43.3%
xG (showing): Staten Island Athletic 1.13 — Long Island Rough Riders 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

September 30, 2026 (UTC)

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