Prediction Audit: VfL Wolfsburg vs Verl Prediction, Odds & AI Betting Tips

VfL Wolfsburg

Jul 18, 2026 - 12:00

3 1.21

0 1.39

xG Accuracy: 42%

Verl

The model missed the final outcome (VfL Wolfsburg win 3–0).

The model had projected Verl at 39.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (3 goals) ✖ Incorrect
Both Teams To Score BTTS Yes No ✖ Incorrect
1X2 Verl VfL Wolfsburg ✖ Incorrect
Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect

Model vs Closing Market

Outcome	Model	Closing Market	Difference	Signal
VfL Wolfsburg	31.0%	67.8%	-36.8 pp	Market Higher
Draw	29.5%	15.9%	+13.6 pp	Model Edge
Verl	39.5%	16.3%	+23.2 pp	Model Edge

The closing market estimates VfL Wolfsburg's win probability at 67.8%, compared with the model's estimate of 31.0%, a difference of 36.8 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was VfL Wolfsburg win 3–0.

Post Match Insights

What worked

Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The closing market differed from the model on Verl by 36.8 percentage points (76.3% vs model 39.5%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

Jul 18, 2026 · 20:03 UTC Forecast generated
- Model 1X2 · VfL Wolfsburg 31.0% · Draw 29.5% · Verl 39.5%
- xG · VfL Wolfsburg 1.21 — Verl 1.39
Jul 18, 2026 · 11:33 UTC Opening odds snapshot PRE30
- 1X2 odds · VfL Wolfsburg 1.31 · Draw 5.60 · Verl 5.45
- Implied 1X2 · VfL Wolfsburg 67.8% · Draw 15.9% · Verl 16.3%
- Bookmaker · Pinnacle
Jul 18, 2026 · 12:01 UTC Closing snapshot recorded PRE1
- 1X2 odds · VfL Wolfsburg 1.31 · Draw 5.60 · Verl 5.45
- Implied 1X2 · VfL Wolfsburg 67.8% · Draw 15.9% · Verl 16.3%
- Bookmaker · Pinnacle
Jul 18, 2026 · 12:00 UTC Kickoff
FT Full-time result VfL Wolfsburg win · 3–0
FT Prediction missed 1X2 lean did not match full-time result
Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait

Outcome Missed

Pre-match metrics (historical context)

Prediction Reliability 31/100 · Low

Validation: Fail
Large market gap (37 pp)

Evidence ★★★★★

No strong statistical edge
Market strongly disagrees on price
Validation failed

Pricing proximity (inverse gap) 0/100

Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 11:05 UTC Snapshot ID: dp-1698386

Closing Odds 1.31

AI Fair Odds —

CLV Pending

Final Result VfL Wolfsburg win · VfL Wolfsburg 3–0 Verl

Prediction ✖ Missed

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?: This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?: xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?: Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?: Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Model favours Verl; market prices VfL Wolfsburg instead — inputs may be missing or stale.

Model: VfL Wolfsburg 1.21 xG vs Verl 1.39 → Verl 39.5%
Market: VfL Wolfsburg ~16.3% implied
Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Historical Recommendation

Historical Decision: Wait

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 29, 2026 (UTC)

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