Nordsjælland W vs AGF W prediction
KvindeligaWomenRound 12
Nordsjælland W19:00
Tue 27 Oct
Prediction T-24h
AGF WMost likelyNordsjælland W win · 82%
Prediction
82%1Nordsjælland W
12%XDraw
6%2AGF W
These are calibrated probabilities. See how closely they've matched real outcomes
Prediction as of 14 Oct 2026
Odds comparison
No price from a Danish-licensed bookmaker yet
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Stake sizer
No price from a Danish-licensed bookmaker is recorded for this outcome right now, so we size nothing.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
Match context
Strength-adjusted form
Nordsjælland W
- D2-2KW
- D1-1FHW
- W2-0AW
- W4-1MW
- W6-4KW
↑ stronger · = even · ↓ weaker opponent
AGF W
- L1-2KW
- L0-1OQW
- L0-2NW
- W4-2FCW
- L1-2MW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Nordsjælland W
No reported absences.
AGF W
No reported absences.
Head to head
Nordsjælland W 5Draws 4AGF W 4
- AW 0-2 NW
- AW 0-0 NW
- NW 3-1 AW
- AW 3-1 NW
- NW 0-1 AW
Recent form
Recent form — context only, not a tip.
Nordsjælland W
Goals
- Scored / game
- 3.2last 10
- Conceded / game
- 1.2last 10
- Clean sheets
- 2 / 10
- BTTS
- 7 / 10
- Over 2.5
- 6 / 10
AGF W
Goals
- Scored / game
- 0.7last 10
- Conceded / game
- 2.4last 10
- Clean sheets
- 0 / 10
- BTTS
- 4 / 10
- Over 2.5
- 7 / 10
Line movement
Nordsjælland W—
No line movement recorded yet
Draw—
No line movement recorded yet
AGF 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 Nordsjælland 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)2.72Expected goals (away)0.62Goal correlation0.02
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.