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18+18+ only

Predictions are probabilities, not guarantees.

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Every prediction is logged before kick-off and scored after the final whistle.© 2026 Oddbert. No affiliate links. No betting accepted. · Weather data from OpenWeather (ODbL).

Roma W vs AC Milan W prediction

Serie A WomenSerie A Women·Round 3
Roma WRoma W
15:00
Sun 18 Oct
Prediction T-24h
AC Milan WAC Milan W

Most likelyRoma W win · 60%

PredictionOddsContextMovementDetails

Prediction

60%1Roma W
21%XDraw
19%2AC Milan 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 decimal odds for this match
BookmakerRoma WAC Milan 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

Roma W

  1. W=3-1LW
  2. L=0-6BW
  3. W=3-1SW
  4. D=0-0OLW
  5. W=2-0GW

↑ stronger · = even · ↓ weaker opponent

AC Milan W

  1. W=2-1JW
  2. L=1-4C1W
  3. L=0-1TW
  4. W=3-1PW
  5. L=0-1IMW

↑ stronger · = even · ↓ weaker opponent

Injuries & absences

Roma W

No reported absences.

AC Milan W

No reported absences.

Head to head

Roma W 5Draws 1AC Milan W 2
  • RW 1-0 AMW
  • AMW 1-2 RW
  • RW 3-3 AMW
  • AMW 3-1 RW
  • AMW 3-2 RW

Recent form

Recent form — context only, not a tip.

Roma W

Goals

Scored / game
2.0last 10
Conceded / game
1.2last 10
Clean sheets
5 / 10
BTTS
4 / 10
Over 2.5
6 / 10

AC Milan W

Goals

Scored / game
1.2last 10
Conceded / game
1.0last 10
Clean sheets
4 / 10
BTTS
4 / 10
Over 2.5
5 / 10

Line movement

Roma W—

No line movement recorded yet

Draw—

No line movement recorded yet

AC Milan 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 Roma 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 predictions
Top model factors
Expected goals (home)2.0284%Expected goals (away)1.0616%Goal correlation0.020%

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.