Campobasso FC vs Real Giulianova: result 2-0 and analysis
Serie D - Girone FRegular Season - 10Kick-off on November 3, 2019 at 01:30 PM (UTC)Avicor Stadium Selvapiana, Campobasso
Full time
What was the result of Campobasso FC vs Real Giulianova?
Campobasso FC won 2-0 on November 3, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Campobasso FC have 3 wins, 2 draws and 4 defeats; Real Giulianova have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Olympia Agnonese(away) | 2-1 | Serie D - Girone F |
| Oct 20, 2019 | Montegiorgio(home) | 0-1 | Serie D - Girone F |
| Oct 13, 2019 | Porto Sant'Elpidio(away) | 1-2 | Serie D - Girone F |
| Oct 6, 2019 | Matelica(home) | 1-1 | Serie D - Girone F |
| Sep 29, 2019 | Pineto(away) | 0-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Chieti(home) | 1-0 | Serie D - Girone F |
| Oct 20, 2019 | Atletico Terme Fiuggi(away) | 0-6 | Serie D - Girone F |
| Oct 13, 2019 | Cattolica(away) | 3-2 | Serie D - Girone F |
| Oct 6, 2019 | Recanatese(home) | 2-3 | Serie D - Girone F |
| Sep 29, 2019 | Olympia Agnonese(away) | 1-1 | Serie D - Girone F |
How many goals should we expect?
Campobasso FC score 0.9 and concede 1.1 goals per match over their last 9; Real Giulianova score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Campobasso FC | 0.9 | 1.1 | 2 | 5/9 | 3/9 |
| Real Giulianova | 1.3 | 2.1 | 1 | 7/9 | 5/9 |
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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Real Giulianova | 34 | 11 | 16 | 7 | 40 | 31 | 49 |
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