Roma City vs Tivoli: result 4-1 and analysis
Serie D - Girone FGroup F - 12Kick-off on November 19, 2023 at 01:30 PM (UTC)Stadio Nicola Urban, Riano
Full time
What was the result of Roma City vs Tivoli?
Roma City won 4-1 on November 19, 2023.
Goalscorers
- 23′?Roma City
- 39′?Tivoli
- 45′?Roma City
- 62′Claudio SparacelloRoma City
- 78′L. Di RenzoRoma City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roma City have 5 wins, 3 draws and 7 defeats; Tivoli have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 29, 2023 | L'Aquila(away) | 0-0 | Serie D - Girone F |
| Oct 22, 2023 | Atletico Ascoli(home) | 0-1 | Serie D - Girone F |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2023 | Ardea(away) | 1-2 | Coppa Italia Serie D |
| Nov 12, 2023 | Real Monterotondo(home) | 1-3 | Serie D - Girone F |
| Nov 5, 2023 | Atletico Ascoli(away) | 0-2 | Serie D - Girone F |
| Nov 1, 2023 | Vigor Senigallia(home) | 0-5 | Serie D - Girone F |
| Oct 29, 2023 | Campobasso FC(away) | 1-2 | Serie D - Girone F |
What does the head-to-head say?
Across the last 1 meetings: 0 Roma City win(s), 0 draw(s), 1 Tivoli win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2022 | Roma City 0-3 Tivoli | Coppa Italia Serie D |
How many goals should we expect?
Roma City score 1.7 and concede 1.4 goals per match over their last 15; Tivoli score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roma City | 1.7 | 1.4 | 4 | 6/15 | 8/15 |
| Tivoli | 1.0 | 1.7 | 2 | 7/15 | 10/15 |
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