AS Roma vs Venezia: result 2-1 and analysis
Serie ARegular Season - 6Kick-off on September 29, 2024 at 01:00 PM (UTC)Stadio Olimpico, Roma
Full time
What was the result of AS Roma vs Venezia?
AS Roma won 2-1 on September 29, 2024.
Goalscorers
- 44′J. PohjanpaloVenezia
- 74′B. CristanteAS Roma
- 83′N. PisilliAS Roma
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Roma have 4 wins, 8 draws and 3 defeats; Venezia have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2024 | Athletic Club(home) | 1-1 | UEFA Europa League |
| Sep 22, 2024 | Udinese(home) | 3-0 | Serie A |
| Sep 15, 2024 | Genoa(away) | 1-1 | Serie A |
| Sep 1, 2024 | Juventus(away) | 0-0 | Serie A |
| Aug 25, 2024 | Empoli(home) | 1-2 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2024 | Genoa(home) | 2-0 | Serie A |
| Sep 14, 2024 | AC Milan(away) | 0-4 | Serie A |
| Aug 30, 2024 | Torino(home) | 0-1 | Serie A |
| Aug 25, 2024 | Fiorentina(away) | 0-0 | Serie A |
| Aug 18, 2024 | Lazio(away) | 1-3 | Serie A |
What does the head-to-head say?
Across the last 2 meetings: 0 AS Roma win(s), 1 draw(s), 1 Venezia win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2022 | AS Roma 1-1 Venezia | Serie A |
| Nov 7, 2021 | Venezia 3-2 AS Roma | Serie A |
How many goals should we expect?
AS Roma score 1.5 and concede 1.0 goals per match over their last 15; Venezia score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Roma | 1.5 | 1.0 | 5 | 10/15 | 7/15 |
| Venezia | 1.6 | 1.3 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 19 | Venezia | 1 | 0 | 0 | 1 | 0 | 2 | 0 |
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