Sora vs Roma City: result 0-2 and analysis
Serie D - Girone FGroup F - 11Kick-off on November 12, 2023 at 01:30 PM (UTC)Stadio Claudio Tomei, Sora
Full time
What was the result of Sora vs Roma City?
Roma City won 0-2 on November 12, 2023.
Goalscorers
- 68′L. Di RenzoRoma City
- 79′Luca GeloneseRoma City
What is the recent form of both teams?
Over their last 11 matches in all competitions, Sora have 3 wins, 3 draws and 5 defeats; Roma City have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | L'Aquila(away) | 0-1 | Serie D - Girone F |
| Nov 1, 2023 | Atletico Ascoli(home) | 2-2 | Serie D - Girone F |
| Oct 29, 2023 | Matese(away) | 1-0 | Serie D - Girone F |
| Oct 22, 2023 | Campobasso FC(home) | 1-2 | Serie D - Girone F |
| Oct 15, 2023 | Termoli Calcio(away) | 1-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Vigor Senigallia(away) | 2-2 | Serie D - Girone F |
| Nov 1, 2023 | Real Monterotondo(home) | 4-0 | Serie D - Girone F |
| Oct 29, 2023 | L'Aquila(away) | 0-0 | Serie D - Girone F |
| Oct 22, 2023 | Atletico Ascoli(home) | 0-1 | Serie D - Girone F |
| Oct 15, 2023 | Matese(away) | 2-3 | Serie D - Girone F |
How many goals should we expect?
Sora score 0.9 and concede 1.2 goals per match over their last 11; Roma City score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sora | 0.9 | 1.2 | 3 | 6/11 | 5/11 |
| Roma City | 1.6 | 1.5 | 3 | 7/15 | 9/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Sora | 34 | 9 | 11 | 14 | 40 | 50 | 38 |
A question about Sora vs Roma City?
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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