AC Pavia vs Pro Sesto (Serie D) kick-off time: 15/11/2026 13:30
Serie D
Match info
Last 5 matches
More- AC PaviaWLDLL
- Pro SestoLDDDWNo win in 4 matches
Serie D
More| # | Team | P | GD | Pts |
|---|---|---|---|---|
| 5 | Casatese Merate | 10 | 0 | 16 |
| 6 | Pro Sesto | 10 | +10 | 15 |
| 7 | AC Pavia | 10 | +4 | 14 |
| 8 | Cittadella Vis Modena | 10 | +2 | 14 |
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
AC Pavia and Pro Sesto meet on in Serie D.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards Pro Sesto (42%).
Chances to win
Model estimate
How is this calculated?
This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Preview
AC Pavia vs Pro Sesto: preview
AC Pavia have won 1, drawn 1 and lost 3 of their last 5 matches. 5 of AC Pavia's last 10 matches had 3 or more goals, and both sides scored in 5. Pro Sesto have won 1, drawn 3 and lost 1 of their last 5 matches. Pro Sesto have not won in 4 matches. 5 of Pro Sesto's last 10 matches had 3 or more goals, and both sides scored in 5.
Our pre-match model estimate: AC Pavia 30%, draw 28%, Pro Sesto 42%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): AC Pavia win in 30% of the simulated matches, 28% end level and Pro Sesto win 42%. Average goals 2.3; the most likely score is 1-1 (13%); both teams score in 46%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
