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

Aug 21, 2026 - 16:00
4 1.29
2 1.31
xG Accuracy: 39%

The model missed the final outcome (Vejle win 4–2).

The model had projected Esbjerg 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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Esbjerg Vejle ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 4-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Vejle higher than the statistical model.

Largest probability gap: Vejle -25.0 pp

Outcome Model Closing Market Difference Signal
Vejle 34.7% 59.7% -25.0 pp Market Higher
Draw 29.6% 19.9% +9.7 pp Model Higher
Esbjerg 35.6% 20.4% +15.3 pp Model Edge

The closing market estimates Vejle's win probability at 59.7%, compared with the model's estimate of 34.7%, a difference of 25.0 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: PRE5.

After full time, the result was Vejle win 4–2.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Esbjerg; match finished Vejle

Market lesson

The closing market differed from the model on Esbjerg by 25.0 percentage points (60.6% 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. Aug 21, 2026 · 15:57 UTC Forecast generated
    • Model 1X2 · Vejle 34.7% · Draw 29.7% · Esbjerg 35.6%
    • xG · Vejle 1.29 — Esbjerg 1.31
  2. Aug 21, 2026 · 15:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vejle 1.59 · Draw 4.77 · Esbjerg 4.66
    • Implied 1X2 · Vejle 59.7% · Draw 19.9% · Esbjerg 20.4%
    • Bookmaker · Pinnacle
  3. Aug 21, 2026 · 15:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Vejle 1.59 · Draw 4.77 · Esbjerg 4.66
    • Implied 1X2 · Vejle 59.7% · Draw 19.9% · Esbjerg 20.4%
    • Bookmaker · Pinnacle
  4. Aug 21, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Vejle win · 4–2
  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: Cautious / Wait

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

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 50/100 · Moderate
  • Validation: Warning
  • Large market gap (25 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 14/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 15, 2026 · 01:26 UTC Snapshot ID: dp-4026062

Closing Odds 1.59
AI Fair Odds —
CLV Pending
Final Result Vejle win · Vejle 4–2 Esbjerg
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 1. Division
  • Fixture: Vejle vs Esbjerg
  • Kickoff: 2026-08-21 16:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Vejle 1.29 — Esbjerg 1.31 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Esbjerg
  • Model: 35.6% · Implied: 20.4% · Probability edge: +15.2 pts · Est. EV: +5.9%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

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 28, 2026 (UTC)

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Back to Predictions
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Hvidovre 9 6 3 0 21
2 Vejle 9 5 4 0 19
3 FC Fredericia 9 3 5 1 14
4 Aarhus Fremad 9 3 4 2 13
5 Aalborg 9 3 4 2 13
6 Hobro 9 4 1 4 13
7 Vendsyssel FF 9 2 4 3 10
8 AB Copenhagen 9 2 3 4 9
9 Hillerød 9 2 3 4 9
10 Kolding IF 9 1 5 3 8
11 HB Koge 9 1 4 4 7
12 Esbjerg 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Vejle 9 22 13 +9 19
2 Hvidovre 9 18 9 +9 21
3 Hillerød 9 13 14 -1 9
4 FC Fredericia 9 12 6 +6 14
5 Hobro 9 12 16 -4 13
6 AB Copenhagen 9 11 10 +1 9
7 Aalborg 9 11 11 0 13
8 HB Koge 9 11 17 -6 7
9 Aarhus Fremad 9 10 9 +1 13
10 Kolding IF 9 10 12 -2 8
11 Vendsyssel FF 9 10 14 -4 10
12 Esbjerg 9 10 19 -9 5