Predictions / Football / Denmark. 3. Division / ASA Aarhus vs Næsby

Prediction Audit: ASA Aarhus vs Næsby Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 11:00
1 1.28
0 1.32
xG Accuracy: 64%

The model missed the final outcome (ASA Aarhus win 1–0).

The model had projected Næsby at 36.1%, 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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Næsby ASA Aarhus ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Næsby higher than the statistical model.

Largest probability gap: Næsby -14.6 pp

Outcome Model Closing Market Difference Signal
ASA Aarhus 34.2% 25.2% +9.1 pp Model Higher
Draw 29.6% 24.1% +5.6 pp Model Higher
Næsby 36.1% 50.8% -14.6 pp Market Higher

The closing market estimates Næsby's win probability at 50.8%, compared with the model's estimate of 36.1%, a difference of 14.6 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 ASA Aarhus win 1–0.

Market Assessment

The market is materially more optimistic about Næsby 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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Næsby; match finished ASA Aarhus

Market lesson

The closing market differed from the model on Næsby by 14.6 percentage points (50.7% vs model 36.1%) — 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 13, 2026 · 11:00 UTC Forecast generated
    • Model 1X2 · ASA Aarhus 34.2% · Draw 29.7% · Næsby 36.1%
    • xG · ASA Aarhus 1.28 — Næsby 1.32
  2. Sep 13, 2026 · 10:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · ASA Aarhus 3.59 · Draw 3.75 · Næsby 1.78
    • Implied 1X2 · ASA Aarhus 25.2% · Draw 24.1% · Næsby 50.8%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 11:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · ASA Aarhus 3.59 · Draw 3.75 · Næsby 1.78
    • Implied 1X2 · ASA Aarhus 25.2% · Draw 24.1% · Næsby 50.8%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 11:00 UTC Kickoff
  5. FT Full-time result ASA Aarhus win · 1–0
  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 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:06 UTC Snapshot ID: dp-7425771

Closing Odds 1.78
AI Fair Odds —
CLV Pending
Final Result ASA Aarhus win · ASA Aarhus 1–0 Næsby
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

Quick read on how the model reads this matchup.

  • League: 3. Division
  • Fixture: ASA Aarhus vs Næsby
  • Kickoff: 2026-09-13 11:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): ASA Aarhus 1.28 — Næsby 1.32 (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: 37.0% · Probability edge: +14.9 pts · Est. EV: +30.0%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

1X2 can look balanced even when side markets show clearer structure.

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
3. Division 3. Division — Standings
# TEAM MP W D L PTS
1 Holbæk B&I 9 6 1 2 19
2 Brønshøj 8 5 2 1 17
3 FC Helsingor 9 5 2 2 17
4 Vanløse 8 4 3 1 15
5 Holstebro 8 4 1 3 13
6 ASA Aarhus 8 4 1 3 13
7 Næsby 8 3 2 3 11
8 Hørsholm-Usserød 8 2 3 3 9
9 Frem 8 2 2 4 8
10 Sundby 8 2 1 5 7
11 Ishøj 8 1 1 6 4
12 Ringsted 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Holbæk B&I 9 24 17 +7 19
2 FC Helsingor 9 17 11 +6 17
3 Brønshøj 8 16 8 +8 17
4 Frem 8 16 15 +1 8
5 Hørsholm-Usserød 8 16 16 0 9
6 Holstebro 8 15 15 0 13
7 Vanløse 8 14 8 +6 15
8 Næsby 8 14 13 +1 11
9 ASA Aarhus 8 11 11 0 13
10 Sundby 8 11 15 -4 7
11 Ringsted 8 10 23 -13 4
12 Ishøj 8 4 16 -12 4