Sant'Angelo vs Sammaurese: result 2-1 and analysis
Serie D - Girone DGroup D - 15Kick-off on November 27, 2022 at 01:30 PM (UTC)Stadio Carlo Chiesa, Sant'Angelo Lodigiano
Full time
What was the result of Sant'Angelo vs Sammaurese?
Sant'Angelo won 2-1 on November 27, 2022.
Goalscorers
- 42′?Sant'Angelo
- 45′?Sammaurese
- 90′?Sant'Angelo (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sant'Angelo have 3 wins, 4 draws and 8 defeats; Sammaurese have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Aglianese(away) | 2-2 | Serie D - Girone D |
| Nov 13, 2022 | Ravenna(home) | 0-1 | Serie D - Girone D |
| Nov 6, 2022 | Crema(away) | 3-0 | Serie D - Girone D |
| Oct 30, 2022 | Lentigione(home) | 1-1 | Serie D - Girone D |
| Oct 23, 2022 | Scandicci(away) | 2-3 | Serie D - Girone D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | United Riccione(home) | 2-0 | Serie D - Girone D |
| Nov 13, 2022 | Giana Erminio(away) | 0-1 | Serie D - Girone D |
| Nov 6, 2022 | Prato(home) | 0-0 | Serie D - Girone D |
| Oct 30, 2022 | Ravenna(away) | 2-0 | Serie D - Girone D |
| Oct 23, 2022 | Crema(home) | 2-0 | Serie D - Girone D |
How many goals should we expect?
Sant'Angelo score 1.2 and concede 1.7 goals per match over their last 15; Sammaurese score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sant'Angelo | 1.2 | 1.7 | 4 | 8/15 | 8/15 |
| Sammaurese | 1.3 | 0.8 | 6 | 5/15 | 4/15 |
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 | Sant'Angelo | 34 | 10 | 9 | 15 | 38 | 51 | 39 |
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