Wilhelmshaven vs Atlas Delmenhorst Statistics & Analysis

Wilhelmshaven

May 17, 2026 - 13:00

0 1.45

0 1.25

xG Accuracy: 63%

Atlas Delmenhorst

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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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Wilhelmshaven Draw ✖ Incorrect
Correct Score Insights 1-1, 1-2, 0-1, 0-2, 2-1 0-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 05:11 UTC Snapshot ID: dp-1553951

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · Wilhelmshaven 0–0 Atlas Delmenhorst

Prediction ✖ Missed

Decision Grade F

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: Oberliga - Niedersachsen
Fixture: Wilhelmshaven vs Atlas Delmenhorst
Kickoff: 2026-05-17 13:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Wilhelmshaven 1.45 — Atlas Delmenhorst 1.25 (total xG ≈ 2.7)
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 Over 2.5 (Under 2.5 41.2% · Over 2.5 58.8%); BTTS Yes (Yes 71.4% · No 28.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
BTTS (model): Yes 71.4% · No 28.6%
Correct score (top bin): 1-1 (10.8%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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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