Stjørdals-Blink vs Fredrikstad Statistics & Analysis

Stjørdals-Blink

Sep 16, 2026 - 16:00

0 1.18

1 1.42

xG Accuracy: 64%

Fredrikstad

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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 Fredrikstad Fredrikstad ✔ Correct
Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 10, 2026 · 15:20 UTC Snapshot ID: dp-7923465

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Fredrikstad win · Stjørdals-Blink 0–1 Fredrikstad

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: NM Cupen
Fixture: Stjørdals-Blink vs Fredrikstad
Kickoff: 2026-09-16 16:00:00
1X2 (model): Home 29.6% · Draw 29.4% · Away 41.0%
xG (showing): Stjørdals-Blink 1.18 — Fredrikstad 1.42 (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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.1% · No 45.9%
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 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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