Sarrabus Ogliastra vs Boreale: result 1-0 and analysis
Serie D - Girone GGroup G - 12Kick-off on November 19, 2023 at 01:30 PM (UTC)Campo Sportivo Is Arranas, Tertenia
Full time
What was the result of Sarrabus Ogliastra vs Boreale?
Sarrabus Ogliastra won 1-0 on November 19, 2023.
Goalscorers
- 44′?Sarrabus Ogliastra (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sarrabus Ogliastra have 8 wins, 4 draws and 3 defeats; Boreale have 1, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Albalonga(away) | 0-0 | Serie D - Girone G |
| Nov 5, 2023 | Budoni(home) | 0-0 | Serie D - Girone G |
| Nov 1, 2023 | Flaminia(home) | 4-2 | Serie D - Girone G |
| Oct 29, 2023 | Ardea(away) | 2-0 | Serie D - Girone G |
| Oct 22, 2023 | Nocerina(home) | 3-2 | Serie D - Girone G |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2023 | Ostia Mare(home) | 0-0 | Serie D - Girone G |
| Nov 5, 2023 | Flaminia(away) | 0-0 | Serie D - Girone G |
| Nov 1, 2023 | Gladiator(home) | 0-2 | Serie D - Girone G |
| Oct 28, 2023 | Nocerina(away) | 1-1 | Serie D - Girone G |
| Oct 22, 2023 | Ischia(home) | 1-0 | Serie D - Girone G |
How many goals should we expect?
Sarrabus Ogliastra score 2.1 and concede 1.8 goals per match over their last 15; Boreale score 0.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sarrabus Ogliastra | 2.1 | 1.8 | 4 | 10/15 | 9/15 |
| Boreale | 0.4 | 1.0 | 5 | 4/12 | 2/12 |
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 |
|---|---|---|---|---|---|---|---|---|
| 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