Folgore Caratese vs Sant'Angelo: result 3-1 and analysis
Serie D - Girone BGroup B - 9Kick-off on October 20, 2024 at 01:00 PM (UTC)Stadio XXV Aprile, Carate Brianza
Full time
What was the result of Folgore Caratese vs Sant'Angelo?
Folgore Caratese won 3-1 on October 20, 2024.
Goalscorers
- 31′M. VarešanovićFolgore Caratese
- 42′S. SimeriFolgore Caratese
- 51′?Sant'Angelo
- 73′?Folgore Caratese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Folgore Caratese have 3 wins, 6 draws and 6 defeats; Sant'Angelo have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | Breno(away) | 0-1 | Serie D - Girone B |
| Oct 6, 2024 | Chievo(home) | 1-0 | Serie D - Girone B |
| Oct 2, 2024 | Pro Palazzolo(away) | 1-2 | Serie D - Girone B |
| Sep 28, 2024 | Sangiuliano City(home) | 1-1 | Serie D - Girone B |
| Sep 22, 2024 | Sondrio(away) | 2-1 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | Varesina(away) | 1-1 | Serie D - Girone B |
| Oct 6, 2024 | Fanfulla(home) | 2-0 | Serie D - Girone B |
| Oct 2, 2024 | Breno(away) | 2-0 | Serie D - Girone B |
| Sep 29, 2024 | Chievo(home) | 0-0 | Serie D - Girone B |
| Sep 22, 2024 | Pro Palazzolo(away) | 1-3 | Serie D - Girone B |
How many goals should we expect?
Folgore Caratese score 0.7 and concede 1.1 goals per match over their last 15; Sant'Angelo score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Folgore Caratese | 0.7 | 1.1 | 4 | 7/15 | 4/15 |
| Sant'Angelo | 1.3 | 0.7 | 8 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Folgore Caratese | 34 | 19 | 11 | 4 | 58 | 27 | 68 |
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