1. SC Feucht vs Weiden: result 4-2 and analysis
Oberliga - Bayern NordBayern Nord - 15Kick-off on October 14, 2022 at 05:00 PM (UTC)Waldstadion, Feucht
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What was the result of 1. SC Feucht vs Weiden?
1. SC Feucht won 4-2 on October 14, 2022.
Goalscorers
- 8′?1. SC Feucht
- 17′?Weiden
- 64′Christian Heinloth1. SC Feucht
- 75′?1. SC Feucht
- 90′?Weiden
- 90′?1. SC Feucht
What is the recent form of both teams?
Over their last 14 matches in all competitions, 1. SC Feucht have 6 wins, 5 draws and 3 defeats; Weiden have 4, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2022 | Ammerthal(away) | 3-3 | Oberliga - Bayern Nord |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | Abtswind(home) | 1-1 | Oberliga - Bayern Nord |
| Sep 24, 2022 | Bayern Hof(away) | 1-2 | Oberliga - Bayern Nord |
| Sep 17, 2022 | DJK Bamberg(home) | 4-1 | Oberliga - Bayern Nord |
| Sep 9, 2022 | ATSV Erlangen(away) | 1-4 | Oberliga - Bayern Nord |
| Sep 2, 2022 | Eintracht Bamberg(home) | 2-2 | Oberliga - Bayern Nord |
How many goals should we expect?
1. SC Feucht score 1.9 and concede 1.8 goals per match over their last 14; Weiden score 1.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 1. SC Feucht | 1.9 | 1.8 | 0 | 12/14 | 10/14 |
| Weiden | 1.6 | 1.8 | 2 | 10/14 | 11/14 |
Over the last 14 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