Sangiuliano City vs Sammaurese: result 2-1 and analysis
Serie D - Girone DGroup D - 17Kick-off on December 20, 2023 at 01:30 PM (UTC)Campo Sportivo Comunale Zivido, San Giuliano Milanese
Full time
What was the result of Sangiuliano City vs Sammaurese?
Sangiuliano City won 2-1 on December 20, 2023.
Goalscorers
- 4′?Sangiuliano City
- 78′?Sammaurese
- 87′A. SalzanoSangiuliano City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sangiuliano City have 5 wins, 3 draws and 7 defeats; Sammaurese have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2023 | Sant'Angelo(away) | 3-1 | Serie D - Girone D |
| Dec 10, 2023 | Fanfulla(away) | 1-0 | Serie D - Girone D |
| Dec 3, 2023 | Pistoiese(home) | 1-2 | Serie D - Girone D |
| Nov 26, 2023 | Mezzolara(away) | 0-0 | Serie D - Girone D |
| Nov 19, 2023 | Prato(home) | 0-1 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2023 | Progresso(home) | 1-0 | Serie D - Girone D |
| Dec 10, 2023 | Mezzolara(home) | 1-0 | Serie D - Girone D |
| Dec 3, 2023 | Athletic Carpi(away) | 0-4 | Serie D - Girone D |
| Nov 26, 2023 | Aglianese(home) | 0-2 | Serie D - Girone D |
| Nov 19, 2023 | Victor San Marino(away) | 0-1 | Serie D - Girone D |
How many goals should we expect?
Sangiuliano City score 0.9 and concede 1.3 goals per match over their last 15; Sammaurese score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sangiuliano City | 0.9 | 1.3 | 6 | 5/15 | 6/15 |
| Sammaurese | 1.2 | 1.5 | 3 | 8/15 | 8/15 |
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