ATSV Erlangen vs DJK Bamberg: result 2-0 and analysis
Oberliga - Bayern NordBayern Nord - 5Kick-off on August 3, 2022 at 04:30 PM (UTC)Sportanlage Erlangen Paul-Gossen-Strasse, Erlangen
Full time
What was the result of ATSV Erlangen vs DJK Bamberg?
ATSV Erlangen won 2-0 on August 3, 2022.
What is the recent form of both teams?
Over their last 7 matches in all competitions, ATSV Erlangen have 0 wins, 3 draws and 4 defeats; DJK Bamberg have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2022 | Gebenbach(home) | 0-5 | Oberliga - Bayern Nord |
| Jul 23, 2022 | Eintracht Bamberg(away) | 1-2 | Oberliga - Bayern Nord |
| Jul 20, 2022 | Würzburger FV(home) | 2-3 | Oberliga - Bayern Nord |
| Jul 16, 2022 | ASV Neumarkt(away) | 2-2 | Oberliga - Bayern Nord |
| Jun 17, 2022 | Greuther Fürth II(home) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2022 | Eintracht Bamberg(home) | 0-1 | Oberliga - Bayern Nord |
| Jul 23, 2022 | Würzburger FV(away) | 1-1 | Oberliga - Bayern Nord |
| Jul 19, 2022 | ASV Neumarkt(home) | 2-1 | Oberliga - Bayern Nord |
| Jul 16, 2022 | Jahn Regensburg II(away) | 0-2 | Oberliga - Bayern Nord |
| Jul 9, 2022 | Memmingen(home) | 1-1 | Friendlies Clubs |
How many goals should we expect?
ATSV Erlangen score 1.3 and concede 3.4 goals per match over their last 7; DJK Bamberg score 0.8 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ATSV Erlangen | 1.3 | 3.4 | 0 | 5/7 | 6/7 |
| DJK Bamberg | 0.8 | 2.2 | 0 | 4/6 | 2/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | ATSV Erlangen | 33 | 10 | 7 | 16 | 43 | 65 | 37 |
A question about ATSV Erlangen vs DJK Bamberg?
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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