Virtus Ciserano Bergamo vs Sangiuliano City: result 1-2 and analysis
Serie D - Girone BGroup B - 3Kick-off on October 2, 2021 at 01:00 PM (UTC)Stadio Carlo Rossoni, Ciserano
Full time
What was the result of Virtus Ciserano Bergamo vs Sangiuliano City?
Sangiuliano City won 1-2 on October 2, 2021.
Goalscorers
- 28′F. QerosSangiuliano City
- 57′136063Sangiuliano City
- 84′?Virtus Ciserano Bergamo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Virtus Ciserano Bergamo have 6 wins, 6 draws and 3 defeats; Sangiuliano City have 2, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Ponte San Pietro(away) | 1-0 | Serie D - Girone B |
| Sep 22, 2021 | USD Casatese(away) | 3-2 | Coppa Italia Serie D |
| Sep 19, 2021 | Legnano(home) | 1-1 | Serie D - Girone B |
| Sep 12, 2021 | Leon(home) | 5-1 | Coppa Italia Serie D |
| Feb 16, 2020 | Seregno(away) | 1-2 | Serie D - Girone B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2021 | Sona(home) | 1-0 | Serie D - Girone B |
| Sep 22, 2021 | Caronnese(away) | 0-2 | Coppa Italia Serie D |
| Sep 19, 2021 | Villa Valle(away) | 2-1 | Serie D - Girone B |
| Aug 18, 2021 | Giana Erminio(home) | 2-2 | Friendlies Clubs |
How many goals should we expect?
Virtus Ciserano Bergamo score 1.6 and concede 1.2 goals per match over their last 15; Sangiuliano City score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Virtus Ciserano Bergamo | 1.6 | 1.2 | 3 | 11/15 | 8/15 |
| Sangiuliano City | 1.3 | 1.3 | 1 | 2/4 | 2/4 |
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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Virtus Ciserano Bergamo | 34 | 11 | 13 | 10 | 33 | 31 | 46 |
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