Weiden vs DJK Bamberg: result 4-1 and analysis
Oberliga - Bayern NordBayern Nord - 12Kick-off on September 17, 2022 at 01:00 PM (UTC)Sparda-Bank-Stadion, Weiden/Oberpfalz
Full time
What was the result of Weiden vs DJK Bamberg?
Weiden won 4-1 on September 17, 2022.
Goalscorers
- 36′?DJK Bamberg
- 48′?Weiden (o.g.)
- 66′?Weiden
- 88′David BezdičkaWeiden
- 89′?Weiden
What is the recent form of both teams?
Over their last 11 matches in all competitions, Weiden have 3 wins, 2 draws and 6 defeats; DJK Bamberg have 3, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2022 | ATSV Erlangen(away) | 1-4 | Oberliga - Bayern Nord |
| Sep 2, 2022 | Eintracht Bamberg(home) | 2-2 | Oberliga - Bayern Nord |
| Aug 27, 2022 | Würzburger FV(away) | 1-2 | Oberliga - Bayern Nord |
| Aug 19, 2022 | ASV Neumarkt(home) | 2-0 | Oberliga - Bayern Nord |
| Aug 13, 2022 | Jahn Regensburg II(away) | 2-2 | Oberliga - Bayern Nord |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2022 | Ammerthal(home) | 0-0 | Oberliga - Bayern Nord |
| Sep 3, 2022 | Großbardorf(away) | 2-4 | Oberliga - Bayern Nord |
| Aug 27, 2022 | 1. SC Feucht(home) | 1-2 | Oberliga - Bayern Nord |
| Aug 20, 2022 | Abtswind(away) | 2-1 | Oberliga - Bayern Nord |
| Aug 12, 2022 | Bayern Hof(home) | 4-0 | Oberliga - Bayern Nord |
How many goals should we expect?
Weiden score 1.5 and concede 1.9 goals per match over their last 11; DJK Bamberg score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Weiden | 1.5 | 1.9 | 2 | 7/11 | 9/11 |
| DJK Bamberg | 1.2 | 1.9 | 2 | 8/13 | 7/13 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Weiden | 32 | 13 | 11 | 8 | 57 | 39 | 50 |
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