Alemannia Aachen U19 vs Viktoria Köln U19 Statistics & Analysis

Alemannia Aachen U19

Sep 11, 2026 - 16:30

1 1.20

4 1.40

xG Accuracy: 46%

Viktoria Köln U19

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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 Viktoria Köln U19 Viktoria Köln U19 ✔ Correct
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-4 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 05, 2026 · 01:42 UTC Snapshot ID: dp-7032021

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Viktoria Köln U19 win · Alemannia Aachen U19 1–4 Viktoria Köln U19

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: U19 Bundesliga
Fixture: Alemannia Aachen U19 vs Viktoria Köln U19
Kickoff: 2026-09-11 16:30:00
1X2 (model): Home 30.6% · Draw 29.5% · Away 40.0%
xG (showing): Alemannia Aachen U19 1.2 — Viktoria Köln U19 1.4 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.3% · No 45.7%
Correct score (top bin): 1-1 (12.5%)

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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