Ingolstadt II vs 1. SC Feucht: result 4-2 and analysis
Oberliga - Bayern NordBayern Nord - 11Kick-off on September 8, 2023 at 05:00 PM (UTC)BZA Süd-Ost, Ingolstadt
Full time
What was the result of Ingolstadt II vs 1. SC Feucht?
Ingolstadt II won 4-2 on September 8, 2023.
Goalscorers
- 18′?1. SC Feucht
- 26′?Ingolstadt II
- 35′?Ingolstadt II
- 50′F. CavadiasIngolstadt II
- 56′?1. SC Feucht
- 58′F. CavadiasIngolstadt II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ingolstadt II have 7 wins, 0 draws and 8 defeats; 1. SC Feucht have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2023 | Ammerthal(away) | 1-3 | Oberliga - Bayern Nord |
| Sep 1, 2023 | Eltersdorf(away) | 1-2 | Oberliga - Bayern Nord |
| Aug 25, 2023 | Neudrossenfeld(away) | 2-1 | Oberliga - Bayern Nord |
| Aug 19, 2023 | Hankofen-Hailing(away) | 4-2 | Oberliga - Bayern Nord |
| Aug 15, 2023 | Würzburger FV(home) | 3-2 | Oberliga - Bayern Nord |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2023 | Kornburg(home) | 0-2 | Oberliga - Bayern Nord |
| Sep 2, 2023 | Cham(away) | 1-1 | Oberliga - Bayern Nord |
| Aug 25, 2023 | Donaustauf(home) | 0-2 | Oberliga - Bayern Nord |
| Aug 18, 2023 | Abtswind(home) | 0-4 | Oberliga - Bayern Nord |
| Aug 12, 2023 | Coburg(away) | 0-1 | Oberliga - Bayern Nord |
How many goals should we expect?
Ingolstadt II score 1.9 and concede 1.9 goals per match over their last 15; 1. SC Feucht score 0.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ingolstadt II | 1.9 | 1.9 | 2 | 11/15 | 11/15 |
| 1. SC Feucht | 0.9 | 2.2 | 1 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Ingolstadt II | 32 | 14 | 7 | 12 | 64 | 54 | 48 |
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