Sonthofen vs Deisenhofen: result 1-4 and analysis
Oberliga - Bayern SüdBayern Süd - 16Kick-off on October 13, 2023 at 05:30 PM (UTC)Baumit Arena Platz 2, Sonthofen
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What was the result of Sonthofen vs Deisenhofen?
Deisenhofen won 1-4 on October 13, 2023.
Goalscorers
- 27′?Deisenhofen
- 51′?Sonthofen
- 64′?Deisenhofen
- 73′?Deisenhofen
- 90′?Deisenhofen (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sonthofen have 7 wins, 1 draws and 7 defeats; Deisenhofen have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Kirchheimer SC(away) | 5-3 | Oberliga - Bayern Süd |
| Oct 3, 2023 | Nordlingen(home) | 2-1 | Oberliga - Bayern Süd |
| Sep 30, 2023 | Türkspor Augsburg(away) | 0-0 | Oberliga - Bayern Süd |
| Sep 23, 2023 | Landsberg(home) | 0-3 | Oberliga - Bayern Süd |
| Sep 16, 2023 | Dachau(away) | 3-1 | Oberliga - Bayern Süd |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2023 | Kirchanschöring(home) | 1-1 | Oberliga - Bayern Süd |
| Oct 3, 2023 | Erlbach(away) | 3-0 | Oberliga - Bayern Süd |
| Sep 30, 2023 | Rain / Lech(home) | 1-2 | Oberliga - Bayern Süd |
| Sep 23, 2023 | Schwaben Augsburg(away) | 0-1 | Oberliga - Bayern Süd |
| Sep 16, 2023 | 1860 München II(home) | 2-0 | Oberliga - Bayern Süd |
How many goals should we expect?
Sonthofen score 1.8 and concede 1.5 goals per match over their last 15; Deisenhofen score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sonthofen | 1.8 | 1.5 | 3 | 8/15 | 10/15 |
| Deisenhofen | 1.5 | 1.0 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Deisenhofen | 32 | 13 | 10 | 9 | 44 | 47 | 49 |
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