Predictions / Football / Denmark. 1. Division / Esbjerg vs Vendsyssel FF

Prediction Audit: Esbjerg vs Vendsyssel FF Prediction, Odds & AI Betting Tips

Esbjerg Esbjerg
Aug 30, 2026 - 13:00
0 1.39
2 1.21
xG Accuracy: 55%
Vendsyssel FF Vendsyssel FF

The model missed the final outcome (Vendsyssel FF win 0–2).

The model had projected Esbjerg 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Esbjerg Vendsyssel FF ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Esbjerg higher than the statistical model.

Largest probability gap: Esbjerg -11.3 pp

Outcome Model Closing Market Difference Signal
Esbjerg 39.5% 50.7% -11.3 pp Market Higher
Draw 29.5% 22.9% +6.6 pp Model Higher
Vendsyssel FF 31.0% 26.4% +4.6 pp Aligned

The closing market estimates Esbjerg's win probability at 50.7%, compared with the model's estimate of 39.5%, a difference of 11.3 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: PRE5.

After full time, the result was Vendsyssel FF win 0–2.

Market Assessment

The market is materially more optimistic about Esbjerg 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

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Esbjerg; match finished Vendsyssel FF

Market lesson

The closing market differed from the model on Esbjerg by 11.3 percentage points (50.8% 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.

  1. Aug 30, 2026 · 12:57 UTC Forecast generated
    • Model 1X2 · Esbjerg 39.5% · Draw 29.5% · Vendsyssel FF 31.0%
    • xG · Esbjerg 1.39 — Vendsyssel FF 1.21
  2. Aug 30, 2026 · 12:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Esbjerg 1.88 · Draw 4.17 · Vendsyssel FF 3.61
    • Implied 1X2 · Esbjerg 50.7% · Draw 22.9% · Vendsyssel FF 26.4%
    • Bookmaker · Pinnacle
  3. Aug 30, 2026 · 12:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Esbjerg 1.88 · Draw 4.17 · Vendsyssel FF 3.61
    • Implied 1X2 · Esbjerg 50.7% · Draw 22.9% · Vendsyssel FF 26.4%
    • Bookmaker · Pinnacle
  4. Aug 30, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Vendsyssel FF win · 0–2
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 43/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 01:31 UTC Snapshot ID: dp-5292824

Closing Odds 1.88
AI Fair Odds —
CLV Pending
Final Result Vendsyssel FF win · Esbjerg 0–2 Vendsyssel FF
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: 1. Division
  • Fixture: Esbjerg vs Vendsyssel FF
  • Kickoff: 2026-08-30 13:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Esbjerg 1.39 — Vendsyssel FF 1.21 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.3%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Prefer skipping to over-staking when the engine is honest about missing edge.

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

October 01, 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