Ammerthal vs 1. SC Feucht: result 3-3 and analysis
Oberliga - Bayern NordBayern Nord - 14Kick-off on October 7, 2022 at 04:30 PM (UTC)Sportplatz Ammerthal, Ammerthal
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What was the result of Ammerthal vs 1. SC Feucht?
Ammerthal and 1. SC Feucht drew 3-3 on October 7, 2022.
Goalscorers
- 54′?1. SC Feucht
- 61′?Ammerthal
- 67′?1. SC Feucht
- 82′?Ammerthal
- 90′?1. SC Feucht
- 90′?Ammerthal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ammerthal have 7 wins, 4 draws and 4 defeats; 1. SC Feucht have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Abtswind(away) | 1-1 | Oberliga - Bayern Nord |
| Sep 16, 2022 | Bayern Hof(home) | 3-4 | Oberliga - Bayern Nord |
| Sep 11, 2022 | DJK Bamberg(away) | 0-0 | Oberliga - Bayern Nord |
| Sep 2, 2022 | ATSV Erlangen(home) | 1-0 | Oberliga - Bayern Nord |
| Aug 26, 2022 | Eintracht Bamberg(away) | 2-3 | Oberliga - Bayern Nord |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2022 | Gebenbach(home) | 0-2 | Oberliga - Bayern Nord |
| Sep 24, 2022 | Großbardorf(home) | 2-1 | Oberliga - Bayern Nord |
| Sep 10, 2022 | Abtswind(away) | 1-1 | Oberliga - Bayern Nord |
| Sep 2, 2022 | Bayern Hof(home) | 1-1 | Oberliga - Bayern Nord |
| Aug 27, 2022 | DJK Bamberg(away) | 2-1 | Oberliga - Bayern Nord |
How many goals should we expect?
Ammerthal score 1.9 and concede 1.6 goals per match over their last 15; 1. SC Feucht score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ammerthal | 1.9 | 1.6 | 5 | 8/15 | 8/15 |
| 1. SC Feucht | 1.8 | 1.7 | 0 | 11/13 | 9/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ammerthal | 34 | 9 | 8 | 17 | 43 | 51 | 35 |
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