Atletico Ascoli vs Fermana: result 0-1 and analysis
Serie D - Girone FGroup F - 3Kick-off on September 22, 2024 at 01:00 PM (UTC)Stadio Don Mauro Bartolini, Ascoli Piceno
Full time
What was the result of Atletico Ascoli vs Fermana?
Fermana won 0-1 on September 22, 2024.
Goalscorers
- 31′A. BianchimanoFermana (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atletico Ascoli have 8 wins, 6 draws and 1 defeat; Fermana have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2024 | Civitanovese(away) | 2-0 | Serie D - Girone F |
| Sep 8, 2024 | Sambenedettese(home) | 0-0 | Serie D - Girone F |
| Sep 1, 2024 | Sambenedettese(away) | 1-1 | Coppa Italia Serie D |
| May 5, 2024 | United Riccione(home) | 4-2 | Serie D - Girone F |
| Apr 28, 2024 | Notaresco(away) | 1-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2024 | Ancona(home) | 0-1 | Serie D - Girone F |
| Sep 8, 2024 | Recanatese(away) | 3-2 | Serie D - Girone F |
| Aug 25, 2024 | Civitanovese(away) | 1-3 | Coppa Italia Serie D |
| Apr 28, 2024 | Pescara(home) | 1-3 | Serie C - Girone B |
| Apr 21, 2024 | Juventus U23(away) | 1-2 | Serie C - Girone B |
How many goals should we expect?
Atletico Ascoli score 1.4 and concede 0.7 goals per match over their last 15; Fermana score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atletico Ascoli | 1.4 | 0.7 | 5 | 9/15 | 5/15 |
| Fermana | 1.3 | 1.7 | 0 | 13/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Atletico Ascoli | 7 | 3 | 1 | 3 | 8 | 9 | 10 |
A question about Atletico Ascoli vs Fermana?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy