UEFA - Champions League Women 9:00 PM WAT · 10 Nov 2026 Upcoming
🏠

Roma

VS
✈️

Servette

Model Market Probabilities

Blended signals from Dixon-Coles Poisson simulations, de-vigged market lines, and calibrated probability matrices.

BTTS BothTeamsScore
Confidence: 56.6300:F1% Gate: 55:F1%
BTTS BothTeamsScore
Confidence: 56.6300:F1% Gate: 55:F1%
BTTS BothTeamsScore
Confidence: 56.6300:F1% Gate: 55:F1%
BTTS BothTeamsScore
Confidence: 56.6900:F1% Gate: 55:F1%
Home Win StraightWin
Confidence: 78.0400:F1% Gate: 68:F1%
Home Win StraightWin
Confidence: 78.6600:F1% Gate: 68:F1%
Home Win StraightWin
Confidence: 77.9800:F1% Gate: 68:F1%
Home Win StraightWin
Confidence: 78.0400:F1% Gate: 68:F1%
Home Win StraightWin
Confidence: 78.0400:F1% Gate: 68:F1%

Form & Goal Trends

Statistical distribution indicators derived from recent fixtures and scoring dynamics.

🏠 Roma

Recent Form:
Avg Goals Scored / Match: 0.00
Avg Goals Conceded / Match: 0.00
Clean Sheet Frequency: 0:F0%
Both Teams Scored Rate: 0:F0%

✈️ Servette

Recent Form:
D L W W W
Avg Goals Scored / Match: 1.40
Avg Goals Conceded / Match: 1.00
Clean Sheet Frequency: 20:F0%
Both Teams Scored Rate: 80:F0%

About This Prediction Model

MatchPredictor applies statistical goal distribution algorithms (Dixon-Coles & Poisson modeling) combined with market odds calibration. We use historical Brier scores to optimize threshold gates nightly. Want to understand the mathematics behind our forecasts? Read our detailed guides:

Advertisement

🛒 Your selections