Crema vs Sant'Angelo: result 0-3 and analysis
Serie D - Girone DGroup D - 12Kick-off on November 6, 2022 at 01:30 PM (UTC)Stadio Giuseppe Voltini, Crema
Full time
What was the result of Crema vs Sant'Angelo?
Sant'Angelo won 0-3 on November 6, 2022.
Goalscorers
- 15′?Sant'Angelo
- 53′T. SpavieroSant'Angelo
- 90′?Sant'Angelo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Crema have 4 wins, 4 draws and 7 defeats; Sant'Angelo have 2, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2022 | Mezzolara(home) | 1-0 | Serie D - Girone D |
| Oct 23, 2022 | Sammaurese(away) | 0-2 | Serie D - Girone D |
| Oct 16, 2022 | Correggese(home) | 5-1 | Serie D - Girone D |
| Oct 9, 2022 | Real Forte Querceta(away) | 2-3 | Serie D - Girone D |
| Oct 5, 2022 | Scandicci(away) | 0-0 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2022 | Lentigione(home) | 1-1 | Serie D - Girone D |
| Oct 23, 2022 | Scandicci(away) | 2-3 | Serie D - Girone D |
| Oct 16, 2022 | Mezzolara(home) | 2-0 | Serie D - Girone D |
| Oct 9, 2022 | United Riccione(away) | 1-3 | Serie D - Girone D |
| Oct 5, 2022 | Salsomaggiore(home) | 0-0 | Serie D - Girone D |
How many goals should we expect?
Crema score 1.4 and concede 1.8 goals per match over their last 15; Sant'Angelo score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Crema | 1.4 | 1.8 | 3 | 9/15 | 9/15 |
| Sant'Angelo | 1.1 | 1.9 | 3 | 7/12 | 6/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Crema sit 11th in Serie D - Girone D (38 points from 34 matches) and Sant'Angelo sit 10th (39 points from 34 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Sant'Angelo | 34 | 10 | 9 | 15 | 38 | 51 | 39 |
| 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