Predictions / Football / Denmark. DBU Pokalen / Vejle vs Brondby

Prediction Audit: Vejle vs Brondby Prediction, Odds & AI Betting Tips

Vejle Vejle
Sep 17, 2026 - 16:30
1 1.31
2 1.29
xG Accuracy: 76%
Brondby Brondby

The model missed the final outcome (Brondby win 1–2).

The model had projected Vejle at 35.6%, 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 No Yes ✖ Incorrect
  • 1X2 Vejle Brondby ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Brondby higher than the statistical model.

Largest probability gap: Brondby -14.3 pp

Outcome Model Closing Market Difference Signal
Vejle 35.6% 25.1% +10.5 pp Model Edge
Draw 29.6% 25.9% +3.8 pp Aligned
Brondby 34.7% 49.0% -14.3 pp Market Higher

The closing market estimates Brondby's win probability at 49.0%, compared with the model's estimate of 34.7%, a difference of 14.3 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 Brondby win 1–2.

Market Assessment

The market is materially more optimistic about Brondby than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 1–2 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • 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 Vejle by 14.3 percentage points (49.9% vs model 35.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 17, 2026 · 16:29 UTC Forecast generated
    • Model 1X2 · Vejle 35.6% · Draw 29.7% · Brondby 34.7%
    • xG · Vejle 1.31 — Brondby 1.29
  2. Sep 17, 2026 · 16:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vejle 3.65 · Draw 3.54 · Brondby 1.87
    • Implied 1X2 · Vejle 25.1% · Draw 25.9% · Brondby 49.0%
    • Bookmaker · Pinnacle
  3. Sep 17, 2026 · 16:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vejle 3.65 · Draw 3.54 · Brondby 1.87
    • Implied 1X2 · Vejle 25.1% · Draw 25.9% · Brondby 49.0%
    • Bookmaker · Pinnacle
  4. Sep 17, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Brondby win · 1–2
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 9/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 11, 2026 · 03:50 UTC Snapshot ID: dp-7998057

Closing Odds 1.87
AI Fair Odds —
CLV Pending
Final Result Brondby win · Vejle 1–2 Brondby
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

Quick read on how the model reads this matchup.

  • League: DBU Pokalen
  • Fixture: Vejle vs Brondby
  • Kickoff: 2026-09-17 16:30:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Vejle 1.31 — Brondby 1.29 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 41.5% · Probability edge: +10.3 pts · Est. EV: +19.1%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: Monitor

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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