Juventus vs AS Roma: result 3-1 and analysis
Coppa ItaliaQuarter-finalsKick-off on January 22, 2020 at 07:45 PM (UTC)Allianz Stadium, Torino
Full time
What was the result of Juventus vs AS Roma?
Juventus won 3-1 on January 22, 2020.
Goalscorers
- 26′Cristiano RonaldoJuventus
- 38′R. BentancurJuventus
- 45′L. BonucciJuventus
- 50′G. BuffonAS Roma (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 12 wins, 1 draws and 2 defeats; AS Roma have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2020 | Parma(home) | 2-1 | Serie A |
| Jan 15, 2020 | Udinese(home) | 4-0 | Coppa Italia |
| Jan 12, 2020 | AS Roma(away) | 2-1 | Serie A |
| Jan 6, 2020 | Cagliari(home) | 4-0 | Serie A |
| Dec 22, 2019 | Lazio(home) | 1-3 | Super Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2020 | Genoa(away) | 3-1 | Serie A |
| Jan 16, 2020 | Parma(away) | 2-0 | Coppa Italia |
| Jan 12, 2020 | Juventus(home) | 1-2 | Serie A |
| Jan 5, 2020 | Torino(home) | 0-2 | Serie A |
| Dec 20, 2019 | Fiorentina(away) | 4-1 | Serie A |
What does the head-to-head say?
Across the last 6 meetings: 3 Juventus win(s), 2 draw(s), 1 AS Roma win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 12, 2020 | AS Roma 1-2 Juventus | Serie A |
| May 12, 2019 | AS Roma 2-0 Juventus | Serie A |
| Dec 22, 2018 | Juventus 1-0 AS Roma | Serie A |
| May 13, 2018 | AS Roma 0-0 Juventus | Serie A |
| Dec 23, 2017 | Juventus 1-0 AS Roma | Serie A |
| Jul 30, 2017 | AS Roma 1-1 Juventus | International Champions Cup |
How many goals should we expect?
Juventus score 2.1 and concede 0.9 goals per match over their last 15; AS Roma score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 2.1 | 0.9 | 6 | 9/15 | 11/15 |
| AS Roma | 2.1 | 1.0 | 5 | 8/15 | 11/15 |
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