Roma City vs AJ Fano: result 2-0 and analysis
Serie D - Girone FGroup F - 14Kick-off on December 3, 2023 at 01:30 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs AJ Fano?
Roma City won 2-0 on December 3, 2023.
Goalscorers
- 19′Luca GeloneseRoma City
- 73′L. Di RenzoRoma City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roma City have 6 wins, 2 draws and 7 defeats; AJ Fano have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2023 | Avezzano(away) | 0-2 | Serie D - Girone F |
| Nov 19, 2023 | Tivoli(home) | 4-1 | Serie D - Girone F |
| Nov 12, 2023 | Sora(away) | 2-0 | Serie D - Girone F |
| Nov 5, 2023 | Vigor Senigallia(away) | 2-2 | Serie D - Girone F |
| Nov 1, 2023 | Real Monterotondo(home) | 4-0 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2023 | Campobasso FC(away) | 0-1 | Coppa Italia Serie D |
| Nov 26, 2023 | Tivoli(home) | 0-3 | Serie D - Girone F |
| Nov 19, 2023 | Atletico Ascoli(away) | 0-0 | Serie D - Girone F |
| Nov 12, 2023 | Vigor Senigallia(home) | 2-2 | Serie D - Girone F |
| Nov 5, 2023 | Campobasso FC(away) | 0-1 | Serie D - Girone F |
What does the head-to-head say?
Across the last 2 meetings: 1 Roma City win(s), 0 draw(s), 1 AJ Fano win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 12, 2023 | Roma City 2-0 AJ Fano | Serie D - Girone F |
| Oct 9, 2022 | AJ Fano 2-0 Roma City | Serie D - Girone F |
How many goals should we expect?
Roma City score 1.9 and concede 1.5 goals per match over their last 15; AJ Fano score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.9 | 1.5 | 3 | 7/15 | 9/15 |
| AJ Fano | 0.7 | 0.9 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
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