Bayer Leverkusen vs CSKA Moscow: result 2-2 and analysis
UEFA Champions LeagueGroup Stage - 1Kick-off on September 14, 2016 at 06:45 PM (UTC)BayArena, Leverkusen
Full time
What was the result of Bayer Leverkusen vs CSKA Moscow?
Bayer Leverkusen and CSKA Moscow drew 2-2 on September 14, 2016.
Goalscorers
- 9′A. MehmediBayer Leverkusen
- 15′H. ÇalhanoğluBayer Leverkusen
- 36′A. DzagoevCSKA Moscow
- 38′R. EremenkoCSKA Moscow
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayer Leverkusen have 10 wins, 2 draws and 3 defeats; CSKA Moscow 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 10, 2016 | Hamburger SV(home) | 3-1 | Bundesliga |
| Aug 27, 2016 | Borussia Mönchengladbach(away) | 1-2 | Bundesliga |
| Aug 21, 2016 | SC Hauenstein(away) | 2-1 | DFB Pokal |
| May 14, 2016 | FC Ingolstadt 04(home) | 3-2 | Bundesliga |
| May 7, 2016 | Borussia Mönchengladbach(away) | 1-2 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Akhmat(home) | 3-0 | Premier League |
| Aug 27, 2016 | TOM Tomsk(away) | 1-0 | Premier League |
| Aug 20, 2016 | Zenit(away) | 1-1 | Premier League |
| Aug 13, 2016 | Ural(away) | 1-0 | Premier League |
| Aug 7, 2016 | FC Orenburg(away) | 1-0 | Premier League |
How many goals should we expect?
Bayer Leverkusen score 1.9 and concede 1.1 goals per match over their last 15; CSKA Moscow score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayer Leverkusen | 1.9 | 1.1 | 6 | 8/15 | 10/15 |
| CSKA Moscow | 1.3 | 1.0 | 5 | 7/15 | 6/15 |
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