Sangiuliano City vs Borgo San Donnino: result 2-0 and analysis
Serie D - Girone DGroup D - 10Kick-off on November 5, 2023 at 01:30 PM (UTC)Campo Sportivo Comunale Zivido, San Giuliano Milanese
Full time
What was the result of Sangiuliano City vs Borgo San Donnino?
Sangiuliano City won 2-0 on November 5, 2023.
Goalscorers
- 29′A. SalzanoSangiuliano City
- 83′A. SalzanoSangiuliano City (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sangiuliano City have 3 wins, 4 draws and 8 defeats; Borgo San Donnino have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Athletic Carpi(away) | 2-2 | Serie D - Girone D |
| Oct 29, 2023 | Imolese(home) | 1-2 | Serie D - Girone D |
| Oct 22, 2023 | Ravenna(away) | 0-2 | Serie D - Girone D |
| Oct 15, 2023 | Calcio Certaldo(home) | 1-0 | Serie D - Girone D |
| Oct 7, 2023 | Victor San Marino(away) | 0-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2023 | Prato(home) | 1-1 | Serie D - Girone D |
| Oct 28, 2023 | Calcio Certaldo(home) | 2-0 | Serie D - Girone D |
| Oct 22, 2023 | Imolese(away) | 1-1 | Serie D - Girone D |
| Oct 18, 2023 | Corticella(home) | 0-3 | Coppa Italia Serie D |
| Oct 15, 2023 | Progresso(home) | 0-1 | Serie D - Girone D |
How many goals should we expect?
Sangiuliano City score 0.7 and concede 1.5 goals per match over their last 15; Borgo San Donnino score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiuliano City | 0.7 | 1.5 | 5 | 5/15 | 5/15 |
| Borgo San Donnino | 1.1 | 1.9 | 1 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sangiuliano City | 34 | 14 | 8 | 12 | 41 | 45 | 47 |
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