Bayer Leverkusen vs AS Roma: result 4-4 and analysis
UEFA Champions LeagueGroup Stage - 3Kick-off on October 20, 2015 at 06:45 PM (UTC)BayArena, Leverkusen
Full time
What was the result of Bayer Leverkusen vs AS Roma?
Bayer Leverkusen and AS Roma drew 4-4 on October 20, 2015.
Goalscorers
- 4′J. HernándezBayer Leverkusen (pen.)
- 19′J. HernándezBayer Leverkusen
- 29′D. De RossiAS Roma
- 38′D. De RossiAS Roma
- 54′M. PjanićAS Roma
- 73′Iago FalquéAS Roma
- 84′K. KamplBayer Leverkusen
- 86′A. MehmediBayer Leverkusen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayer Leverkusen have 7 wins, 2 draws and 6 defeats; AS Roma have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Hamburger SV(away) | 0-0 | Bundesliga |
| Oct 4, 2015 | FC Augsburg(home) | 1-1 | Bundesliga |
| Sep 29, 2015 | Barcelona(away) | 1-2 | UEFA Champions League |
| Sep 26, 2015 | Werder Bremen(away) | 3-0 | Bundesliga |
| Sep 23, 2015 | FSV Mainz 05(home) | 1-0 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Empoli(home) | 3-1 | Serie A |
| Oct 4, 2015 | Palermo(away) | 4-2 | Serie A |
| Sep 29, 2015 | Bate Borisov(away) | 2-3 | UEFA Champions League |
| Sep 26, 2015 | Carpi(home) | 5-1 | Serie A |
| Sep 23, 2015 | Sampdoria(away) | 1-2 | Serie A |
How many goals should we expect?
Bayer Leverkusen score 1.3 and concede 1.0 goals per match over their last 15; AS Roma score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayer Leverkusen | 1.3 | 1.0 | 6 | 5/15 | 9/15 |
| AS Roma | 2.1 | 1.3 | 2 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Bayer Leverkusen | 8 | 3 | 3 | 2 | 13 | 14 | 12 |
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