Statistics / Football / Denmark. Kvindeliga / ASA Aarhus W vs Thy ThistedQ

ASA Aarhus W vs Thy ThistedQ Statistics & Analysis

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ASA Aarhus W
Jun 13, 2026 - 12:00
2 1.64
1 1.34
xG Accuracy: 82%
Thy ThistedQ Thy ThistedQ
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Tracked markets vs full-time result

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 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 ASA Aarhus W ASA Aarhus W ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 1-2, 2-0 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 19:16 UTC Snapshot ID: dp-2068398

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result ASA Aarhus W win · ASA Aarhus W 2–1 Thy ThistedQ
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Kvindeliga
  • Fixture: ASA Aarhus W vs Thy ThistedQ
  • Kickoff: 2026-06-13 12:00:00
  • 1X2 (model): Home 43.1% · Draw 27.0% · Away 29.9%
  • xG (showing): ASA Aarhus W 1.64 — Thy ThistedQ 1.34 (total xG ≈ 2.98)
  • 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): Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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 28, 2026 (UTC)

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Back to Statistics
Kvindeliga Kvindeliga — Standings
# TEAM MP W D L PTS
1 Køge 23 15 5 3 50
2 Brøndby 23 13 8 2 47
3 Fortuna Hjørring 23 11 5 7 38
4 Nordsjælland 23 9 10 4 37
5 AGF 23 7 5 11 26
6 KoldingQ 23 5 3 15 18
7 Midtjylland W 14 2 3 9 9
8 Odense Q 14 1 1 12 4
# TEAM MP GS GC +/- PTS
1 Køge 23 47 21 +26 50
2 Nordsjælland 23 47 25 +22 37
3 Brøndby 23 36 16 +20 47
4 Fortuna Hjørring 23 36 21 +15 38
5 AGF 23 26 31 -5 26
6 KoldingQ 23 24 52 -28 18
7 Midtjylland W 14 14 30 -16 9
8 Odense Q 14 6 40 -34 4
Kvindeliga Denmark. Kvindeliga Predictions