Crema vs Salsomaggiore: result 3-1 and analysis
Serie D - Girone DGroup D - 14Kick-off on November 20, 2022 at 01:30 PM (UTC)Stadio Giuseppe Voltini, Crema
Full time
What was the result of Crema vs Salsomaggiore?
Crema won 3-1 on November 20, 2022.
Goalscorers
- 17′?Crema
- 50′?Salsomaggiore
- 63′?Crema
- 70′?Crema
What is the recent form of both teams?
Over their last 15 matches in all competitions, Crema have 5 wins, 4 draws and 6 defeats; Salsomaggiore have 0, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | United Riccione(away) | 2-1 | Serie D - Girone D |
| Nov 9, 2022 | Virtus Ciserano Bergamo(home) | 1-1 | Coppa Italia Serie D |
| Nov 6, 2022 | Sant'Angelo(home) | 0-3 | Serie D - Girone D |
| Nov 1, 2022 | Mezzolara(home) | 1-0 | Serie D - Girone D |
| Oct 23, 2022 | Sammaurese(away) | 0-2 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 13, 2022 | Aglianese(home) | 1-3 | Serie D - Girone D |
| Nov 6, 2022 | Fanfulla(away) | 0-3 | Serie D - Girone D |
| Oct 30, 2022 | Pistoiese(home) | 2-4 | Serie D - Girone D |
| Oct 23, 2022 | Lentigione(away) | 1-2 | Serie D - Girone D |
| Oct 16, 2022 | United Riccione(home) | 1-3 | Serie D - Girone D |
How many goals should we expect?
Crema score 1.3 and concede 1.5 goals per match over their last 15; Salsomaggiore score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Crema | 1.3 | 1.5 | 3 | 9/15 | 8/15 |
| Salsomaggiore | 0.9 | 1.9 | 1 | 9/14 | 8/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Crema | 34 | 9 | 11 | 14 | 35 | 47 | 38 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy