Chelsea W vs Roma W prediction
UEFA Champions League WomenRound League Stage - 3
Chelsea W18:45
Wed 28 Oct
Prediction T-24h
Roma WMost likelyChelsea W win · 94%
Prediction
94%1Chelsea W
5%XDraw
1%2Roma 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
We only show prices from bookmakers with a Danish licence (Spillemyndigheden).
Bookmaker names shown for reference only. No affiliate links.
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
Chelsea W
- W3-0WHW
- D0-0LW
- W1-0AW
- W1-0AWW
- W2-0BCW
↑ stronger · = even · ↓ weaker opponent
Roma W
- W3-1LW
- L0-6BW
- W3-1SW
- D0-0OLW
- W2-0GW
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Chelsea W
No reported absences.
Roma W
No reported absences.
Head to head
Chelsea W 1Draws 0Roma W 0
- CW 6-0 RW
Recent form
Recent form — context only, not a tip.
Chelsea W
Goals
- Scored / game
- 2.0last 10
- Conceded / game
- 0.3last 10
- Clean sheets
- 8 / 10
- BTTS
- 2 / 10
- Over 2.5
- 3 / 10
Match stats
- Corners
- 7.0last 8
- Shots
- 18.4last 8
- Shots on target
- 6.4last 8
- Fouls
- 9.1last 8
- Yellow cards
- 0.9last 9
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
Match stats
- Corners
- 2.8last 4
- Shots
- 12.8last 4
- Shots on target
- 4.0last 4
- Fouls
- 9.5last 4
- Yellow cards
- 0.8last 4
Line movement
Chelsea W—
No line movement recorded yet
Draw—
No line movement recorded yet
Roma 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 Chelsea 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)3.81Expected goals (away)0.35Goal correlation-0.20
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.