Roma City vs Vigor Senigallia: result 1-2 and analysis
Serie D - Girone FGroup F · Matchday 9Kick-off on October 30, 2022 at 02:00 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Vigor Senigallia?
Vigor Senigallia won 1-2 on October 30, 2022.
Goalscorers
- 29′?Vigor Senigallia
- 54′Simone RaffiniRoma City
- 85′?Vigor Senigallia
What is the recent form of both teams?
Over their last 9 matches in all competitions, Roma City have 2 wins, 2 draws and 5 defeats; Vigor Senigallia have 4, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Vastogirardi(away) | 1-1 | Serie D - Girone F |
| Oct 16, 2022 | Matese(home) | 1-2 | Serie D - Girone F |
| Oct 9, 2022 | AJ Fano(away) | 0-2 | Serie D - Girone F |
| Oct 2, 2022 | Termoli Calcio(home) | 2-1 | Serie D - Girone F |
| Sep 28, 2022 | Vastese(away) | 2-5 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Porto D' Ascoli(home) | 1-0 | Serie D - Girone F |
| Oct 16, 2022 | Trastevere(away) | 2-3 | Serie D - Girone F |
| Oct 9, 2022 | Tolentino(home) | 2-1 | Serie D - Girone F |
| Oct 2, 2022 | Pineto(away) | 0-3 | Serie D - Girone F |
| Sep 28, 2022 | Team Nuova Florida(home) | 3-0 | Serie D - Girone F |
How many goals should we expect?
Roma City score 1.1 and concede 1.9 goals per match over their last 9; Vigor Senigallia score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.1 | 1.9 | 1 | 6/9 | 5/9 |
| Vigor Senigallia | 1.2 | 1.4 | 3 | 4/10 | 6/10 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Vigor Senigallia | 11 | 6 | 1 | 4 | 20 | 21 | 19 |
A question about Roma City vs Vigor Senigallia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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