GW Siebenbäumen vs Frisia 03 Risum-Lindholm: result 2-1 and analysis
Oberliga - Schleswig-HolsteinSchleswig-Holstein - 9Kick-off on September 11, 2022 at 01:00 PM (UTC)
Full time
What was the result of GW Siebenbäumen vs Frisia 03 Risum-Lindholm?
GW Siebenbäumen won 2-1 on September 11, 2022.
Goalscorers
- 15′?GW Siebenbäumen
- 45′?Frisia 03 Risum-Lindholm
- 90′?GW Siebenbäumen
What is the recent form of both teams?
Over their last 8 matches in all competitions, GW Siebenbäumen have 0 wins, 4 draws and 4 defeats; Frisia 03 Risum-Lindholm have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Pansdorf(away) | 1-1 | Oberliga - Schleswig-Holstein |
| Aug 28, 2022 | Union Neumünster(home) | 0-6 | Oberliga - Schleswig-Holstein |
| Aug 24, 2022 | Todesfelde(away) | 1-3 | Oberliga - Schleswig-Holstein |
| Aug 20, 2022 | Oldenburger SV(away) | 1-1 | Oberliga - Schleswig-Holstein |
| Aug 14, 2022 | Bordesholm(home) | 2-2 | Oberliga - Schleswig-Holstein |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Dornbreite Lübeck(home) | 0-2 | Oberliga - Schleswig-Holstein |
| Aug 27, 2022 | Weiche Flensburg II(away) | 0-1 | Oberliga - Schleswig-Holstein |
| Aug 21, 2022 | TSB Flensburg(home) | 0-4 | Oberliga - Schleswig-Holstein |
| Aug 14, 2022 | Eckernförder SV(away) | 0-3 | Oberliga - Schleswig-Holstein |
| Aug 6, 2022 | Kilia Kiel(home) | 0-4 | Oberliga - Schleswig-Holstein |
How many goals should we expect?
GW Siebenbäumen score 0.9 and concede 2.6 goals per match over their last 8; Frisia 03 Risum-Lindholm score 0.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GW Siebenbäumen | 0.9 | 2.6 | 1 | 6/8 | 5/8 |
| Frisia 03 Risum-Lindholm | 0.9 | 2.4 | 2 | 5/15 | 11/15 |
Over the last 8 matches in all competitions.
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