Notaresco vs Fermana: result 2-1 and analysis
Serie D - Girone FGroup F - 7Kick-off on October 20, 2024 at 01:00 PM (UTC)Stadio Comunale Vincenzo Savini, Notaresco
Full time
What was the result of Notaresco vs Fermana?
Notaresco won 2-1 on October 20, 2024.
Goalscorers
- 50′?Notaresco
- 59′Mattia PersanoNotaresco
- 77′?Fermana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Notaresco have 1 wins, 5 draws and 9 defeats; Fermana have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | Recanatese(away) | 0-2 | Serie D - Girone F |
| Oct 6, 2024 | Atletico Ascoli(home) | 1-2 | Serie D - Girone F |
| Sep 29, 2024 | Civitanovese(away) | 1-1 | Serie D - Girone F |
| Sep 22, 2024 | Sambenedettese(home) | 1-1 | Serie D - Girone F |
| Sep 15, 2024 | Sora(away) | 1-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2024 | Vigor Senigallia(home) | 0-0 | Serie D - Girone F |
| Oct 6, 2024 | L'Aquila(away) | 0-2 | Serie D - Girone F |
| Sep 29, 2024 | Città di Isernia(home) | 0-2 | Serie D - Girone F |
| Sep 22, 2024 | Atletico Ascoli(away) | 1-0 | Serie D - Girone F |
| Sep 15, 2024 | Ancona(home) | 0-1 | Serie D - Girone F |
How many goals should we expect?
Notaresco score 0.6 and concede 1.3 goals per match over their last 15; Fermana score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Notaresco | 0.6 | 1.3 | 2 | 7/15 | 3/15 |
| Fermana | 1.1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Notaresco | 34 | 13 | 12 | 9 | 43 | 31 | 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