Fossombrone vs Fermana: result 2-0 and analysis
Serie D - Girone FGroup F - 11Kick-off on November 10, 2024 at 01:30 PM (UTC)Stadio Comunale Fossombrone, Fossombrone
Full time
What was the result of Fossombrone vs Fermana?
Fossombrone won 2-0 on November 10, 2024.
Goalscorers
- 21′F. CasollaFossombrone
- 83′F. CasollaFossombrone
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fossombrone have 7 wins, 6 draws and 2 defeats; Fermana have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | L'Aquila(away) | 3-2 | Serie D - Girone F |
| Oct 27, 2024 | Notaresco(home) | 1-1 | Serie D - Girone F |
| Oct 23, 2024 | Recanatese(away) | 0-2 | Serie D - Girone F |
| Oct 20, 2024 | Atletico Ascoli(home) | 1-0 | Serie D - Girone F |
| Oct 13, 2024 | Civitanovese(away) | 3-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2024 | Teramo(home) | 1-1 | Serie D - Girone F |
| Oct 27, 2024 | Roma City(away) | 0-1 | Serie D - Girone F |
| Oct 23, 2024 | Chieti(home) | 1-1 | Serie D - Girone F |
| Oct 20, 2024 | Notaresco(away) | 1-2 | Serie D - Girone F |
| Oct 13, 2024 | Vigor Senigallia(home) | 0-0 | Serie D - Girone F |
How many goals should we expect?
Fossombrone score 1.3 and concede 0.8 goals per match over their last 15; Fermana score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fossombrone | 1.3 | 0.8 | 6 | 7/15 | 5/15 |
| Fermana | 0.9 | 1.5 | 2 | 9/15 | 7/15 |
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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Fossombrone | 34 | 11 | 11 | 12 | 28 | 34 | 44 |
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