VfL Bochum vs Bayern München: result 0-3 and analysis
DFB PokalQuarter-finalsKick-off on February 10, 2016 at 07:30 PM (UTC)Vonovia Ruhrstadion, Bochum
Full time
What was the result of VfL Bochum vs Bayern München?
Bayern München won 0-3 on February 10, 2016.
Goalscorers
- 38′R. LewandowskiBayern München
- 61′Thiago AlcântaraBayern München
- 90′R. LewandowskiBayern München
What is the recent form of both teams?
Over their last 15 matches in all competitions, VfL Bochum have 5 wins, 5 draws and 5 defeats; Bayern München have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 5, 2016 | SC Freiburg(home) | 2-0 | 2. Bundesliga |
| Dec 20, 2015 | MSV Duisburg(away) | 0-0 | 2. Bundesliga |
| Dec 16, 2015 | TSV 1860 München(away) | 2-0 | DFB Pokal |
| Dec 11, 2015 | SC Paderborn 07(home) | 4-0 | 2. Bundesliga |
| Dec 6, 2015 | 1. FC Heidenheim(home) | 1-1 | 2. Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2016 | Bayer Leverkusen(away) | 0-0 | Bundesliga |
| Jan 31, 2016 | 1899 Hoffenheim(home) | 2-0 | Bundesliga |
| Jan 22, 2016 | Hamburger SV(away) | 2-1 | Bundesliga |
| Dec 19, 2015 | Hannover 96(away) | 1-0 | Bundesliga |
| Dec 15, 2015 | SV Darmstadt 98(home) | 1-0 | DFB Pokal |
What does the head-to-head say?
Across the last 1 meetings: 0 VfL Bochum win(s), 0 draw(s), 1 Bayern München win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 20, 2011 | VfL Bochum 1-2 Bayern München | DFB Pokal |
Last archived meeting: VfL Bochum vs Bayern München on Dec 20, 2011
How many goals should we expect?
VfL Bochum score 1.4 and concede 0.9 goals per match over their last 15; Bayern München score 2.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VfL Bochum | 1.4 | 0.9 | 6 | 6/15 | 5/15 |
| Bayern München | 2.1 | 0.5 | 10 | 5/15 | 7/15 |
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