Bayern München vs FC Rostov: result 5-0 and analysis
UEFA Champions LeagueGroup Stage - 1Kick-off on September 13, 2016 at 06:45 PM (UTC)Allianz Arena, München
Full time
What was the result of Bayern München vs FC Rostov?
Bayern München won 5-0 on September 13, 2016.
Goalscorers
- 28′R. LewandowskiBayern München (pen.)
- 45′T. MüllerBayern München
- 53′J. KimmichBayern München
- 60′J. KimmichBayern München
- 90′Juan BernatBayern München
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayern München have 10 wins, 3 draws and 2 defeats; FC Rostov have 5, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | FC Schalke 04(away) | 2-0 | Bundesliga |
| Aug 26, 2016 | Werder Bremen(home) | 6-0 | Bundesliga |
| Aug 19, 2016 | FC Carl Zeiss Jena(away) | 5-0 | DFB Pokal |
| Aug 14, 2016 | Borussia Dortmund(away) | 2-0 | Super Cup |
| Aug 3, 2016 | Real Madrid(home) | 0-1 | International Champions Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2016 | Krylia Sovetov(home) | 2-1 | Premier League |
| Aug 28, 2016 | Akhmat(away) | 1-2 | Premier League |
| Aug 24, 2016 | Ajax(home) | 4-1 | UEFA Champions League |
| Aug 20, 2016 | TOM Tomsk(home) | 3-0 | Premier League |
| Aug 16, 2016 | Ajax(away) | 1-1 | UEFA Champions League |
How many goals should we expect?
Bayern München score 2.3 and concede 0.7 goals per match over their last 15; FC Rostov score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayern München | 2.3 | 0.7 | 7 | 6/15 | 7/15 |
| FC Rostov | 1.5 | 1.0 | 5 | 6/12 | 6/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Bayern München | 8 | 7 | 0 | 1 | 22 | 8 | 21 |
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