Roma City vs Atletico Ascoli: result 0-1 and analysis
Serie D - Girone FGroup F - 7Kick-off on October 22, 2023 at 01:00 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Atletico Ascoli?
Atletico Ascoli won 0-1 on October 22, 2023.
Goalscorers
- 19′209435Atletico Ascoli
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roma City have 5 wins, 2 draws and 8 defeats; Atletico Ascoli have 1, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Matese(away) | 2-3 | Serie D - Girone F |
| Oct 8, 2023 | Campobasso FC(home) | 3-1 | Serie D - Girone F |
| Oct 1, 2023 | Termoli Calcio(away) | 4-2 | Serie D - Girone F |
| Sep 24, 2023 | Chieti(home) | 0-1 | Serie D - Girone F |
| Sep 17, 2023 | United Riccione(away) | 0-4 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | L'Aquila(away) | 1-1 | Serie D - Girone F |
| Oct 8, 2023 | Real Monterotondo(home) | 1-1 | Serie D - Girone F |
| Oct 1, 2023 | Matese(away) | 0-2 | Serie D - Girone F |
| Sep 24, 2023 | Campobasso FC(home) | 2-2 | Serie D - Girone F |
| Sep 17, 2023 | Termoli Calcio(away) | 0-1 | Serie D - Girone F |
How many goals should we expect?
Roma City score 1.4 and concede 1.4 goals per match over their last 15; Atletico Ascoli score 0.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.4 | 1.4 | 4 | 6/15 | 7/15 |
| Atletico Ascoli | 0.6 | 1.0 | 2 | 3/8 | 1/8 |
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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Atletico Ascoli | 34 | 14 | 13 | 7 | 55 | 34 | 55 |
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