Bayern München vs 1. FC Heidenheim: result 5-4 and analysis
DFB PokalQuarter-finalsKick-off on April 3, 2019 at 04:30 PM (UTC)Allianz Arena, München
Full time
What was the result of Bayern München vs 1. FC Heidenheim?
Bayern München won 5-4 on April 3, 2019.
Goalscorers
- 12′L. GoretzkaBayern München
- 26′R. Glatzel1. FC Heidenheim
- 39′M. Schnatterer1. FC Heidenheim
- 53′T. MüllerBayern München
- 56′R. LewandowskiBayern München
- 65′S. GnabryBayern München
- 74′R. Glatzel1. FC Heidenheim
- 77′R. Glatzel1. FC Heidenheim (pen.)
- 84′R. LewandowskiBayern München (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bayern München have 11 wins, 2 draws and 2 defeats; 1. FC Heidenheim have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | SC Freiburg(away) | 1-1 | Bundesliga |
| Mar 17, 2019 | FSV Mainz 05(home) | 6-0 | Bundesliga |
| Mar 13, 2019 | Liverpool(home) | 1-3 | UEFA Champions League |
| Mar 9, 2019 | VfL Wolfsburg(home) | 6-0 | Bundesliga |
| Mar 2, 2019 | Borussia Mönchengladbach(away) | 5-1 | Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2019 | 1. FC Magdeburg(away) | 0-0 | 2. Bundesliga |
| Mar 15, 2019 | Union Berlin(home) | 2-1 | 2. Bundesliga |
| Mar 8, 2019 | VfL Bochum(away) | 0-1 | 2. Bundesliga |
| Mar 2, 2019 | SSV Jahn Regensburg(home) | 1-2 | 2. Bundesliga |
| Feb 22, 2019 | SpVgg Greuther Fürth(away) | 0-0 | 2. Bundesliga |
How many goals should we expect?
Bayern München score 2.7 and concede 1.0 goals per match over their last 15; 1. FC Heidenheim score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayern München | 2.7 | 1.0 | 6 | 9/15 | 11/15 |
| 1. FC Heidenheim | 1.5 | 1.3 | 3 | 11/15 | 10/15 |
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