Bayreuth vs Garching: result 1-3 and analysis
Regionalliga - BayernBayern - 2Kick-off on July 20, 2019 at 04:00 PM (UTC)Hans-Walter-Wild-Stadion, Bayreuth
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What was the result of Bayreuth vs Garching?
Garching won 1-3 on July 20, 2019.
Goalscorers
- 15′D. NiebauerGarching (pen.)
- 21′T. WeberGarching (o.g.)
- 32′P. WalterGarching
- 34′Anton MakarenkoBayreuth (pen.)
Official lineup for Bayreuth vs Garching
The starting elevens fielded at kick-off.
Bayreuth
- 9C. Fenninger
- 15Anton Makarenko
- 6Christopher Kracun
- 10P. Weimar
- 13Sven Kopp
- 27I. Knežević
- 14Chris Wolf
- 19S. Eder
- 20J. Golla
- 21T. Weber
- 31S. Kolbe
Garching
- 23M. Berwein
- 27M. Staudigl
- 6Georg Ball
- 10D. Niebauer
- 17M. Niebauer
- 19L. Krüger
- 20T. Zimmerschied
- 4M. Strohmaier
- 8L. Radau
- 18P. Walter
- 12D. Dachs
What is the recent form of both teams?
In their last match in all competitions, Bayreuth have 0 wins, 0 draws and 1 defeat; Garching have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2019 | Viktoria Aschaffenburg(away) | 0-4 | Regionalliga - Bayern |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2019 | Nürnberg II(home) | 1-3 | Regionalliga - Bayern |
How many goals should we expect?
Bayreuth score 0.0 and concede 4.0 goals per match in their last match; Garching score 1.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bayreuth | 0.0 | 4.0 | 0 | 0/1 | 1/1 |
| Garching | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Bayreuth | 14 | 6 | 1 | 7 | 26 | 20 | 19 |
A question about Bayreuth vs Garching?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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