Long Island Rough Riders vs Cedar Stars Rush Statistics & Analysis

Long Island Rough Riders

Jun 26, 2026 - 00:00

4 1.45

1 1.15

xG Accuracy: 48%

Cedar Stars Rush

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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 (5 goals) ✖ Incorrect
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Long Island Rough Riders Long Island Rough Riders ✔ Correct
Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 4-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 18:04 UTC Snapshot ID: dp-1908338

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Long Island Rough Riders win · Long Island Rough Riders 4–1 Cedar Stars Rush

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

League: USL League Two
Fixture: Long Island Rough Riders vs Cedar Stars Rush
Kickoff: 2026-06-26 00:00:00
1X2 (model): Home 42.4% · Draw 29.2% · Away 28.4%
xG (showing): Long Island Rough Riders 1.45 — Cedar Stars Rush 1.15 (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

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 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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