Dynamo Schwerin vs Siedenbollentin: result 2-2 and analysis
Oberliga - Nordost-NordNordost-Nord - 9Kick-off on October 17, 2025 at 06:00 PM (UTC)Sportpark Lankow, Schwerin
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What was the result of Dynamo Schwerin vs Siedenbollentin?
Dynamo Schwerin and Siedenbollentin drew 2-2 on October 17, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Schwerin have 7 wins, 3 draws and 5 defeats; Siedenbollentin have 4, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2025 | Sparta Lichtenberg(away) | 3-2 | Oberliga - Nordost-Nord |
| Sep 28, 2025 | Tasmania Berlin(home) | 3-1 | Oberliga - Nordost-Nord |
| Sep 20, 2025 | Anker Wismar(away) | 1-2 | Oberliga - Nordost-Nord |
| Sep 13, 2025 | Viktoria Berlin(home) | 3-1 | Oberliga - Nordost-Nord |
| Aug 31, 2025 | Makkabi(away) | 1-2 | Oberliga - Nordost-Nord |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2025 | BAK '07(home) | 2-1 | Oberliga - Nordost-Nord |
| Sep 27, 2025 | Union Klosterfelde(away) | 2-2 | Oberliga - Nordost-Nord |
| Sep 20, 2025 | Lichtenberg(home) | 4-3 | Oberliga - Nordost-Nord |
| Sep 14, 2025 | Croatia Berlin(away) | 1-1 | Oberliga - Nordost-Nord |
| Aug 31, 2025 | Hansa Rostock II(home) | 2-2 | Oberliga - Nordost-Nord |
How many goals should we expect?
Dynamo Schwerin score 1.9 and concede 1.9 goals per match over their last 15; Siedenbollentin score 2.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Schwerin | 1.9 | 1.9 | 2 | 12/15 | 13/15 |
| Siedenbollentin | 2.0 | 1.9 | 1 | 8/9 | 7/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Siedenbollentin | 2 | 1 | 0 | 1 | 4 | 3 | 3 |
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