Predictions / Football / Denmark. Superliga / AC Horsens vs Aarhus

Prediction Audit: AC Horsens vs Aarhus Prediction, Odds & AI Betting Tips

Sep 20, 2026 - 14:00
2 1.18
2 1.58
xG Accuracy: 71%

The model missed the final outcome (Draw 2–2).

The model had projected Aarhus at 46.3%, 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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Aarhus Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 2-2 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Aarhus -4.8 pp

Outcome Model Closing Market Difference Signal
AC Horsens 26.2% 23.6% +2.6 pp Aligned
Draw 27.5% 25.3% +2.2 pp Aligned
Aarhus 46.3% 51.1% -4.8 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 2–2.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.76) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

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

Market lesson

The full-time result was Draw 2–2, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Sep 20, 2026 · 19:26 UTC Forecast generated
    • Model 1X2 · AC Horsens 26.2% · Draw 27.5% · Aarhus 46.3%
    • xG · AC Horsens 1.18 — Aarhus 1.58
  2. Sep 20, 2026 · 13:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · AC Horsens 4.09 · Draw 3.82 · Aarhus 1.89
    • Implied 1X2 · AC Horsens 23.6% · Draw 25.3% · Aarhus 51.1%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 14:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · AC Horsens 4.09 · Draw 3.82 · Aarhus 1.89
    • Implied 1X2 · AC Horsens 23.6% · Draw 25.3% · Aarhus 51.1%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:53 UTC Snapshot ID: dp-8678966

Closing Odds 1.89
AI Fair Odds —
CLV Pending
Final Result Draw · AC Horsens 2–2 Aarhus
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

Pre-match snapshot for this fixture.

  • League: Superliga
  • Fixture: AC Horsens vs Aarhus
  • Kickoff: 2026-09-20 14:00:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): AC Horsens 1.18 — Aarhus 1.58 (total xG ≈ 2.76)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

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

Historical Recommendation

Historical Decision: No Primary Bet

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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Superliga Superliga — Standings
# TEAM MP W D L PTS
1 FC Copenhagen 9 8 0 1 24
2 FC Midtjylland 9 5 4 0 19
3 Viborg 9 5 2 2 17
4 FC Nordsjaelland 9 5 2 2 17
5 Brondby 9 4 1 4 13
6 AC Horsens 9 3 2 4 11
7 Silkeborg 9 2 4 3 10
8 Randers FC 9 3 1 5 10
9 Odense 9 2 3 4 9
10 Lyngby 9 1 4 4 7
11 Aarhus 9 0 5 4 5
12 Sonderjyske 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 FC Copenhagen 9 23 8 +15 24
2 FC Midtjylland 9 17 9 +8 19
3 Viborg 9 15 8 +7 17
4 AC Horsens 9 15 16 -1 11
5 FC Nordsjaelland 9 14 10 +4 17
6 Silkeborg 9 12 12 0 10
7 Brondby 9 12 15 -3 13
8 Sonderjyske 9 12 21 -9 5
9 Randers FC 9 11 14 -3 10
10 Aarhus 9 11 17 -6 5
11 Lyngby 9 10 16 -6 7
12 Odense 9 8 14 -6 9
# TEAM MP xG xGC +/- PTS
1 FC Nordsjaelland 9 15.9 7.0 +8.9 17
2 Lyngby 9 12.2 8.1 +4.1 7
3 Viborg 9 9.7 6.4 +3.3 17
4 FC Midtjylland 9 9.3 6.3 +3.0 19
5 Aarhus 9 8.5 6.3 +2.2 5
6 FC Copenhagen 9 6.6 6.3 +0.3 24
7 Brondby 9 8.9 9.8 -0.9 13
8 Odense 9 8.7 9.7 -1.0 9
9 Silkeborg 9 6.2 9.8 -3.6 10
10 AC Horsens 9 7.3 11.3 -4.0 11
11 Randers FC 9 5.8 11.6 -5.8 10
12 Sonderjyske 9 5.9 12.2 -6.3 5