Ajax W vs PSV/Eindhoven W prediction
Eredivisie WomenRound 8
Ajax W12:15
Sun 18 Oct
Prediction T-24h
PSV/Eindhoven WMost likelyAjax W win · 39%
Prediction
39%1Ajax W
23%XDraw
38%2PSV/Eindhoven 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 | Ajax W | PSV/Eindhoven 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
Ajax W
- W4-1FW
- W7-1ADH
- W5-1AW
- L1-3HW
- W1-0DGW
↑ stronger · = even · ↓ weaker opponent
PSV/Eindhoven W
- W3-0ADH
- W4-0DGW
- L0-4TW
- L1-3AW
- W6-0FW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Ajax W
No reported absences.
PSV/Eindhoven W
No reported absences.
Head to head
Ajax W 2Draws 2PSV/Eindhoven W 2
- PW 1-1 AW
- AW 2-1 PW
- PW 3-1 AW
- AW 0-2 PW
- AW 2-1 PW
Recent form
Recent form — context only, not a tip.
Ajax W
Goals
- Scored / game
- 2.3last 10
- Conceded / game
- 1.1last 10
- Clean sheets
- 3 / 10
- BTTS
- 6 / 10
- Over 2.5
- 6 / 10
PSV/Eindhoven W
Goals
- Scored / game
- 2.1last 10
- Conceded / game
- 1.1last 10
- Clean sheets
- 4 / 10
- BTTS
- 4 / 10
- Over 2.5
- 6 / 10
Line movement
Ajax W—
No line movement recorded yet
Draw—
No line movement recorded yet
PSV/Eindhoven 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 Ajax 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)1.25Expected goals (away)1.22Goal correlation0.17
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.