Cavese vs Latte Dolce: result 2-0 and analysis
Serie D - Girone GGroup G - 3Kick-off on September 24, 2023 at 12:00 PM (UTC)Stadio Comunale Simonetta Lamberti, Cava de' Tirreni
Full time
What was the result of Cavese vs Latte Dolce?
Cavese won 2-0 on September 24, 2023.
Goalscorers
- 7′C. FoggiaCavese
- 90′?Cavese
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cavese have 9 wins, 1 draws and 5 defeats; Latte Dolce have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Cassino(away) | 0-1 | Serie D - Girone G |
| Sep 10, 2023 | Romana(home) | 2-0 | Serie D - Girone G |
| Sep 3, 2023 | USD Palmese(home) | 1-0 | Coppa Italia Serie D |
| May 28, 2023 | Nardò(home) | 1-2 | Serie D - Promotion - Play-offs |
| May 21, 2023 | Casarano(home) | 3-0 | Serie D - Promotion - Play-offs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Sarrabus Ogliastra(home) | 4-2 | Serie D - Girone G |
| Sep 10, 2023 | Budoni(away) | 1-2 | Serie D - Girone G |
| Sep 3, 2023 | Sarrabus Ogliastra(away) | 2-0 | Coppa Italia Serie D |
| Aug 26, 2023 | Atletico Uri(away) | 3-0 | Coppa Italia Serie D |
| May 25, 2022 | Arzachena(away) | 2-3 | Serie D - Girone G |
How many goals should we expect?
Cavese score 2.1 and concede 1.1 goals per match over their last 15; Latte Dolce score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cavese | 2.1 | 1.1 | 3 | 10/15 | 10/15 |
| Latte Dolce | 1.6 | 1.5 | 3 | 10/15 | 11/15 |
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