Predictions / Football / Denmark. Superliga / Aarhus vs Brondby

Prediction Audit: Aarhus vs Brondby Prediction, Odds & AI Betting Tips

Aarhus Aarhus
Jul 25, 2026 - 16:00
1 2.50
1 0.95
xG Accuracy: 65%
Brondby Brondby

The model missed the final outcome (Draw 1–1).

The model had projected Aarhus at 70.2%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Aarhus Draw ✖ Incorrect
  • Correct Score Insights 2-0, 2-1, 3-0, 1-0, 3-1 1-1 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The model rates Aarhus considerably stronger than the closing betting market.

Largest probability gap: Aarhus +27.2 pp

Outcome Model Closing Market Difference Signal
Aarhus 70.2% 43.0% +27.2 pp Model Edge
Draw 18.5% 25.7% -7.1 pp Market Higher
Brondby 11.3% 31.4% -20.0 pp Market Higher

The statistical model estimates Aarhus's win probability at 70.2%, compared with the closing market's implied probability of 43.0%, a difference of 27.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 1–1.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Aarhus; match finished Draw

Market lesson

The closing market differed from the model on Aarhus by 27.2 percentage points (43.0% vs model 70.2%) — 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. Jul 25, 2026 · 22:23 UTC Forecast generated
    • Model 1X2 · Aarhus 70.1% · Draw 18.6% · Brondby 11.3%
    • xG · Aarhus 2.50 — Brondby 0.95
  2. Jul 25, 2026 · 15:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Aarhus 2.24 · Draw 3.75 · Brondby 3.07
    • Implied 1X2 · Aarhus 43.0% · Draw 25.7% · Brondby 31.4%
    • Bookmaker · Pinnacle
  3. Jul 25, 2026 · 16:00 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Aarhus 2.24 · Draw 3.75 · Brondby 3.07
    • Implied 1X2 · Aarhus 43.0% · Draw 25.7% · Brondby 31.4%
    • Bookmaker · Pinnacle
  4. Jul 25, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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 37/100 · Low
  • Validation: Warning
  • Large market gap (27 pp)
  • High xG deviation from league baseline (85%+)
Evidence ★★★★★
  • Strong model lean
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 24/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:09 UTC Snapshot ID: dp-1456475

Closing Odds 2.24
AI Fair Odds 1.4
CLV Pending
Final Result Draw · Aarhus 1–1 Brondby
Prediction ✖ Missed
Decision Grade F

Probability Calibration

  • Expected: 71.5%
  • Historical Bucket: 70–75% — Building sample

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: Danish Superliga
  • Fixture: Aarhus GF vs Brøndby IF
  • Kickoff: 2026-07-25 16:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Aarhus GF 2.5 — Brøndby IF 0.95 (total xG ≈ 3.45)
  • 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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 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