Grünwald vs Pipinsried: result 0-3 and analysis
Oberliga - Bayern SüdBayern Süd - 12Kick-off on September 20, 2024 at 05:30 PM (UTC)Sportplatz Grünwald, Grünwald
Full time
What was the result of Grünwald vs Pipinsried?
Pipinsried won 0-3 on September 20, 2024.
Goalscorers
- 37′?Pipinsried
- 52′?Pipinsried
- 90′?Pipinsried
What is the recent form of both teams?
Over their last 12 matches in all competitions, Grünwald have 5 wins, 1 draw and 6 defeats; Pipinsried 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 |
|---|---|---|---|
| Sep 6, 2024 | Unterhaching II(away) | 3-3 | Oberliga - Bayern Süd |
| Aug 30, 2024 | Sonthofen(home) | 1-0 | Oberliga - Bayern Süd |
| Aug 23, 2024 | Schalding-Heining(away) | 0-3 | Oberliga - Bayern Süd |
| Aug 17, 2024 | Nordlingen(home) | 5-1 | Oberliga - Bayern Süd |
| Aug 2, 2024 | Memmingen(away) | 0-3 | Oberliga - Bayern Süd |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2024 | Kirchanschöring(home) | 0-2 | Oberliga - Bayern Süd |
| Aug 30, 2024 | Landsberg(away) | 0-2 | Oberliga - Bayern Süd |
| Aug 25, 2024 | Türkspor Augsburg(away) | 2-2 | Oberliga - Bayern Süd |
| Aug 17, 2024 | Unterhaching II(home) | 3-0 | Oberliga - Bayern Süd |
| Aug 14, 2024 | Sonthofen(away) | 3-1 | Oberliga - Bayern Süd |
How many goals should we expect?
Grünwald score 1.9 and concede 2.2 goals per match over their last 12; Pipinsried score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grünwald | 1.9 | 2.2 | 2 | 7/12 | 9/12 |
| Pipinsried | 1.9 | 1.5 | 3 | 8/15 | 10/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pipinsried | 32 | 15 | 7 | 10 | 58 | 37 | 52 |
A question about Grünwald vs Pipinsried?
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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