Sangiuliano City vs Progresso: result 1-0 and analysis
Serie D - Girone DGroup D - 2Kick-off on September 17, 2023 at 01:00 PM (UTC)Campo Sportivo Comunale Zivido, San Giuliano Milanese
Full time
What was the result of Sangiuliano City vs Progresso?
Sangiuliano City won 1-0 on September 17, 2023.
Goalscorers
- 85′N. MakniSangiuliano City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sangiuliano City have 4 wins, 4 draws and 7 defeats; Progresso have 3, 9 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2023 | Lentigione(away) | 1-1 | Serie D - Girone D |
| Sep 3, 2023 | Fanfulla(away) | 0-2 | Coppa Italia Serie D |
| Aug 27, 2023 | Tritium(away) | 2-0 | Coppa Italia Serie D |
| May 13, 2023 | Triestina(home) | 1-2 | Serie C - Relegation - Play-offs |
| May 6, 2023 | Triestina(away) | 0-0 | Serie C - Relegation - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2023 | Piacenza(home) | 0-0 | Coppa Italia Serie D |
| Sep 10, 2023 | Forli(home) | 2-1 | Serie D - Girone D |
| May 22, 2022 | Borgo San Donnino(away) | 1-1 | Serie D - Girone D |
| May 15, 2022 | Real Forte Querceta(home) | 1-1 | Serie D - Girone D |
| May 8, 2022 | Ravenna(away) | 0-5 | Serie D - Girone D |
How many goals should we expect?
Sangiuliano City score 0.7 and concede 0.9 goals per match over their last 15; Progresso score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiuliano City | 0.7 | 0.9 | 6 | 4/15 | 3/15 |
| Progresso | 1.1 | 1.2 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sangiuliano City sit 9th in Serie D - Girone D (47 points from 34 matches) and Progresso sit 12th (36 points from 33 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Sangiuliano City | 34 | 14 | 8 | 12 | 41 | 45 | 47 |
| 12 | Progresso | 33 | 9 | 9 | 15 | 34 | 41 | 36 |
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