Latte Dolce vs Ilvamaddalena: result 2-0 and analysis
Serie D - Girone GGroup G - 9Kick-off on October 27, 2024 at 01:30 PM (UTC)Stadio Comunale Latte Dolce, Sassari
Full time
What was the result of Latte Dolce vs Ilvamaddalena?
Latte Dolce won 2-0 on October 27, 2024.
Goalscorers
- 31′?Latte Dolce
- 32′?Latte Dolce
What is the recent form of both teams?
Over their last 15 matches in all competitions, Latte Dolce have 4 wins, 8 draws and 3 defeats; Ilvamaddalena have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | Gelbison(home) | 1-0 | Serie D - Girone G |
| Oct 19, 2024 | Atletico Uri(away) | 2-1 | Serie D - Girone G |
| Oct 13, 2024 | Albalonga(home) | 2-2 | Serie D - Girone G |
| Oct 6, 2024 | Sarnese(away) | 1-1 | Serie D - Girone G |
| Sep 29, 2024 | Savoia(home) | 1-1 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2024 | Sarnese(home) | 1-2 | Serie D - Girone G |
| Oct 19, 2024 | Gelbison(away) | 2-2 | Serie D - Girone G |
| Oct 13, 2024 | Terracina Calcio(home) | 0-1 | Serie D - Girone G |
| Oct 6, 2024 | Albalonga(away) | 0-1 | Serie D - Girone G |
| Sep 29, 2024 | Sarrabus Ogliastra(home) | 2-0 | Serie D - Girone G |
How many goals should we expect?
Latte Dolce score 1.3 and concede 1.3 goals per match over their last 15; Ilvamaddalena score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Latte Dolce | 1.3 | 1.3 | 3 | 10/15 | 7/15 |
| Ilvamaddalena | 1.0 | 1.2 | 4 | 7/15 | 7/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 6 | Latte Dolce | 34 | 14 | 6 | 14 | 49 | 49 | 48 |
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