Pavia vs Crema: result 0-0 and analysis
Serie D - Girone DGroup D - 1Kick-off on September 6, 2026 at 01:00 PM (UTC)
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What was the result of Pavia vs Crema?
Pavia and Crema drew 0-0 on September 6, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pavia have 7 wins, 2 draws and 6 defeats; Crema have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2026 | Pisa(away) | 1-6 | Friendlies Clubs |
| May 10, 2026 | Breno(away) | 1-0 | Serie D - Girone B |
| May 3, 2026 | Chievo(away) | 1-2 | Serie D - Girone B |
| Apr 26, 2026 | Virtus Ciserano Bergamo(home) | 3-0 | Serie D - Girone B |
| Apr 19, 2026 | USD Casatese(away) | 0-1 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2026 | Coriano(home) | 2-0 | Serie D - Girone D |
| May 3, 2026 | Piacenza(away) | 1-3 | Serie D - Girone D |
| Apr 26, 2026 | Correggese(home) | 0-0 | Serie D - Girone D |
| Apr 19, 2026 | Pro Palazzolo(away) | 1-2 | Serie D - Girone D |
| Apr 12, 2026 | Sangiuliano City(home) | 0-2 | Serie D - Girone D |
How many goals should we expect?
Pavia score 1.0 and concede 1.1 goals per match over their last 15; Crema score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pavia | 1.0 | 1.1 | 7 | 5/15 | 5/15 |
| Crema | 0.7 | 1.2 | 8 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Pavia sit 10th in Serie D - Girone D (8 points from 7 matches) and Crema sit 15th (5 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Pavia | 7 | 1 | 5 | 1 | 7 | 5 | 8 |
| 15 | Crema | 7 | 1 | 2 | 4 | 4 | 14 | 5 |
A question about Pavia vs Crema?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy