Ardea vs Sarrabus Ogliastra: result 0-2 and analysis
Serie D - Girone GGroup G - 8Kick-off on October 29, 2023 at 01:30 PM (UTC)Stadio Marco Mazzucchi, Ardea
Full time
What was the result of Ardea vs Sarrabus Ogliastra?
Sarrabus Ogliastra won 0-2 on October 29, 2023.
Goalscorers
- 5′?Sarrabus Ogliastra
- 88′?Sarrabus Ogliastra
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ardea have 3 wins, 5 draws and 1 defeats; Sarrabus Ogliastra have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2023 | Grosseto(away) | 3-2 | Coppa Italia Serie D |
| Oct 22, 2023 | Ostia Mare(home) | 1-1 | Serie D - Girone G |
| Oct 15, 2023 | Flaminia(away) | 2-0 | Serie D - Girone G |
| Oct 8, 2023 | Gladiator(home) | 2-1 | Serie D - Girone G |
| Oct 1, 2023 | Nocerina(away) | 2-2 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | Nocerina(home) | 3-2 | Serie D - Girone G |
| Oct 15, 2023 | Ostia Mare(away) | 4-3 | Serie D - Girone G |
| Oct 8, 2023 | Trastevere(home) | 3-2 | Serie D - Girone G |
| Oct 1, 2023 | Gladiator(away) | 1-1 | Serie D - Girone G |
| Sep 24, 2023 | Ischia(home) | 2-2 | Serie D - Girone G |
How many goals should we expect?
Ardea score 1.4 and concede 1.1 goals per match over their last 9; Sarrabus Ogliastra score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ardea | 1.4 | 1.1 | 1 | 7/9 | 3/9 |
| Sarrabus Ogliastra | 1.9 | 1.9 | 3 | 10/15 | 9/15 |
Over the last 9 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Sarrabus Ogliastra | 34 | 12 | 10 | 12 | 47 | 51 | 46 |
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