Roma City vs Recanatese: result 3-2 and analysis
Serie D - Girone FGroup F - 5Kick-off on October 6, 2024 at 01:00 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Recanatese?
Roma City won 3-2 on October 6, 2024.
Goalscorers
- 21′G. BellusciRecanatese
- 41′Alberto AlariRoma City
- 50′?Roma City
- 55′A. SbaffoRecanatese
- 81′Gianmarco PiccioniRoma City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roma City have 6 wins, 5 draws and 4 defeats; Recanatese have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2024 | Termoli Calcio(away) | 0-1 | Serie D - Girone F |
| Sep 22, 2024 | Civitanovese(home) | 1-0 | Serie D - Girone F |
| Sep 15, 2024 | Teramo(away) | 1-1 | Serie D - Girone F |
| Sep 8, 2024 | Sora(home) | 2-3 | Serie D - Girone F |
| Sep 1, 2024 | Albalonga(home) | 3-1 | Coppa Italia Serie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2024 | Atletico Ascoli(home) | 3-4 | Serie D - Girone F |
| Sep 22, 2024 | L'Aquila(away) | 1-2 | Serie D - Girone F |
| Sep 15, 2024 | Sambenedettese(away) | 0-1 | Serie D - Girone F |
| Sep 8, 2024 | Fermana(home) | 2-3 | Serie D - Girone F |
| Aug 24, 2024 | Ancona(home) | 1-3 | Coppa Italia Serie D |
How many goals should we expect?
Roma City score 1.6 and concede 1.1 goals per match over their last 15; Recanatese score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.6 | 1.1 | 3 | 9/15 | 7/15 |
| Recanatese | 1.3 | 2.0 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Recanatese | 7 | 1 | 3 | 3 | 9 | 11 | 6 |
A question about Roma City vs Recanatese?
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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