Bayer Leverkusen vs Nice: result 6-2 and analysis
UEFA Europa LeagueGroup C - 1Kick-off on October 22, 2020 at 04:55 PM (UTC)BayArena, Leverkusen
Full time
What was the result of Bayer Leverkusen vs Nice?
Bayer Leverkusen won 6-2 on October 22, 2020.
Goalscorers
- 11′N. AmiriBayer Leverkusen
- 16′L. AlarioBayer Leverkusen
- 31′A. GouiriNice
- 61′M. DiabyBayer Leverkusen
- 79′K. BellarabiBayer Leverkusen
- 83′K. BellarabiBayer Leverkusen
- 87′F. WirtzBayer Leverkusen
- 90′A. Claude-MauriceNice
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayer Leverkusen have 7 wins, 4 draws and 4 defeats; Nice have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2020 | FSV Mainz 05(away) | 1-0 | Bundesliga |
| Oct 3, 2020 | VfB Stuttgart(away) | 1-1 | Bundesliga |
| Sep 26, 2020 | RB Leipzig(home) | 1-1 | Bundesliga |
| Sep 20, 2020 | VfL Wolfsburg(away) | 0-0 | Bundesliga |
| Sep 13, 2020 | Eintracht Norderstedt(away) | 7-0 | DFB Pokal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Saint Etienne(away) | 3-1 | Ligue 1 |
| Oct 3, 2020 | Nantes(home) | 2-1 | Ligue 1 |
| Sep 27, 2020 | Bordeaux(away) | 0-0 | Ligue 1 |
| Sep 20, 2020 | Paris Saint Germain(home) | 0-3 | Ligue 1 |
| Sep 12, 2020 | Montpellier(away) | 1-3 | Ligue 1 |
How many goals should we expect?
Bayer Leverkusen score 1.7 and concede 1.1 goals per match over their last 15; Nice score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayer Leverkusen | 1.7 | 1.1 | 7 | 7/15 | 6/15 |
| Nice | 1.6 | 1.6 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 33 | Nice | 8 | 1 | 0 | 7 | 7 | 15 | 3 |
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