Predictions / Football / Denmark. 1. Division / Vendsyssel FF vs Aarhus Fremad

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

Sep 11, 2026 - 17:00
0 1.24
0 1.36
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected Aarhus Fremad at 38.0%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 (0 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Aarhus Fremad Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Vendsyssel FF higher than the statistical model.

Largest probability gap: Vendsyssel FF -7.7 pp

Outcome Model Closing Market Difference Signal
Vendsyssel FF 32.4% 40.1% -7.7 pp Market Higher
Draw 29.6% 27.3% +2.2 pp Aligned
Aarhus Fremad 38.0% 32.6% +5.4 pp Model Higher

The closing market estimates Vendsyssel FF's win probability at 40.1%, compared with the model's estimate of 32.4%, a difference of 7.7 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 Draw 0–0.

Market Assessment

The market and model broadly agree on Vendsyssel FF. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Aarhus Fremad; match finished Draw
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Aarhus Fremad by 7.7 percentage points (45.7% vs model 38.0%) — 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 11, 2026 · 16:59 UTC Forecast generated
    • Model 1X2 · Vendsyssel FF 32.4% · Draw 29.6% · Aarhus Fremad 38.0%
    • xG · Vendsyssel FF 1.24 — Aarhus Fremad 1.36
  2. Sep 11, 2026 · 16:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vendsyssel FF 2.38 · Draw 3.49 · Aarhus Fremad 2.93
    • Implied 1X2 · Vendsyssel FF 40.1% · Draw 27.3% · Aarhus Fremad 32.6%
    • Bookmaker · Pinnacle
  3. Sep 11, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vendsyssel FF 2.38 · Draw 3.49 · Aarhus Fremad 2.93
    • Implied 1X2 · Vendsyssel FF 40.1% · Draw 27.3% · Aarhus Fremad 32.6%
    • Bookmaker · Pinnacle
  4. Sep 11, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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 75/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 21/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 05, 2026 · 01:45 UTC Snapshot ID: dp-7032648

Closing Odds 2.38
AI Fair Odds —
CLV Pending
Final Result Draw · Vendsyssel FF 0–0 Aarhus Fremad
Prediction ✖ Missed
Decision Grade C

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: Vendsyssel FF vs Aarhus Fremad
  • Kickoff: 2026-09-11 17:00:00
  • 1X2 (model): Home 32.4% · Draw 29.6% · Away 38.0%
  • xG (showing): Vendsyssel FF 1.24 — Aarhus Fremad 1.36 (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: 48.2% · Probability edge: +3.6 pts · Est. EV: +10.8%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

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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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