AIK W vs Rosengård W prediction
DamallsvenskanRound 23Skytteholms IP
AIK W13:00
Sat 24 Oct
Prediction T-24h
Rosengård WMost likelyAIK W win · 50%
Prediction
50%1AIK W
24%XDraw
26%2Rosengård W
These are calibrated probabilities. See how closely they've matched real outcomes
Stale predictionPrediction as of 13 Oct 2026Predictions for this league are paused — this is the last one we made, not a live call.
Odds comparison
| Bookmaker | AIK W | Rosengård W |
|---|
Bookmaker names shown for reference only. No affiliate links.
Stake sizer
This prediction is stale (paused league or not refreshed), so we size nothing on it.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
Match context
Strength-adjusted form
AIK W
- L1-2DW
- W3-0VW
- W2-1HW
- W1-0PW
- D1-1EUW
↑ stronger · = even · ↓ weaker opponent
Rosengård W
- L0-1MFW
- W1-0PW
- L1-2NW
- W1-0UW
- W1-0DW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
AIK W
No reported absences.
Rosengård W
No reported absences.
Head to head
AIK W 3Draws 0Rosengård W 2
- RW 1-2 AW
- RW 1-2 AW
- AW 1-0 RW
- AW 1-5 RW
- RW 3-0 AW
Recent form
Recent form — context only, not a tip.
AIK W
Goals
- Scored / game
- 1.1last 10
- Conceded / game
- 1.4last 10
- Clean sheets
- 3 / 10
- BTTS
- 5 / 10
- Over 2.5
- 6 / 10
Rosengård W
Goals
- Scored / game
- 0.6last 10
- Conceded / game
- 0.9last 10
- Clean sheets
- 3 / 10
- BTTS
- 3 / 10
- Over 2.5
- 1 / 10
Venue
- Venue
- Skytteholms IP, Solna
Line movement
AIK W—
No line movement recorded yet
Draw—
No line movement recorded yet
Rosengård W—
No line movement recorded yet
Under the hood
How the model sees this match — the drivers and, after full-time, how the prediction scored.
Why this prediction
ExplanationAI · grounded
The model leans toward a AIK W result here, shaped mainly by Expected goals (home) and Expected goals (away). The probabilities come from the model — the prose only narrates them.
The AI writes the prose. It never produces or adjusts a probability — those come only from the model.
How we make these predictionsTop model factors
Expected goals (home)1.35Expected goals (away)0.88Goal correlation0.15
The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.