Campobasso FC vs L'Aquila: result 2-3 and analysis
Serie D - Girone FGroup F - 4Kick-off on October 1, 2023 at 01:00 PM (UTC)Avicor Stadium Selvapiana, Campobasso
Full time
What was the result of Campobasso FC vs L'Aquila?
L'Aquila won 2-3 on October 1, 2023.
Goalscorers
- 18′?Campobasso FC
- 24′?L'Aquila
- 26′Manuel GonzálezCampobasso FC
- 62′?L'Aquila
- 65′?L'Aquila
What is the recent form of both teams?
Over their last 15 matches in all competitions, Campobasso FC have 7 wins, 5 draws and 3 defeats; L'Aquila have 1, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Atletico Ascoli(away) | 2-2 | Serie D - Girone F |
| Sep 17, 2023 | Matese(away) | 3-0 | Serie D - Girone F |
| Sep 10, 2023 | Real Monterotondo(home) | 3-1 | Serie D - Girone F |
| Sep 3, 2023 | Vastogirardi(away) | 3-0 | Coppa Italia Serie D |
| Aug 27, 2023 | Termoli Calcio(home) | 2-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2023 | Real Monterotondo(home) | 2-3 | Serie D - Girone F |
| Sep 17, 2023 | Chieti(away) | 0-1 | Serie D - Girone F |
| Sep 10, 2023 | Matese(home) | 2-0 | Serie D - Girone F |
| Aug 27, 2023 | Notaresco(home) | 0-0 | Coppa Italia Serie D |
How many goals should we expect?
Campobasso FC score 2.3 and concede 1.7 goals per match over their last 15; L'Aquila score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Campobasso FC | 2.3 | 1.7 | 4 | 10/15 | 11/15 |
| L'Aquila | 1.0 | 1.0 | 2 | 1/4 | 1/4 |
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 | L'Aquila | 34 | 14 | 9 | 11 | 53 | 44 | 51 |
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