Hansa Rostock II vs Croatia Berlin: result 2-1 and analysis
Oberliga - Nordost-NordNordost-Nord - 8Kick-off on October 5, 2025 at 12:00 PM (UTC)Volksstadion, Rostock
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What was the result of Hansa Rostock II vs Croatia Berlin?
Hansa Rostock II won 2-1 on October 5, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hansa Rostock II have 10 wins, 2 draws and 3 defeats; Croatia Berlin have 1, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Neustrelitz(away) | 3-2 | Oberliga - Nordost-Nord |
| Sep 21, 2025 | Optik Rathenow(away) | 3-2 | Oberliga - Nordost-Nord |
| Sep 14, 2025 | Eintracht Mahlsdorf(home) | 4-0 | Oberliga - Nordost-Nord |
| Aug 31, 2025 | Siedenbollentin(away) | 2-2 | Oberliga - Nordost-Nord |
| Aug 24, 2025 | Sparta Lichtenberg(home) | 4-3 | Oberliga - Nordost-Nord |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2025 | Optik Rathenow(home) | 0-3 | Oberliga - Nordost-Nord |
| Sep 21, 2025 | Eintracht Mahlsdorf(away) | 1-4 | Oberliga - Nordost-Nord |
| Sep 14, 2025 | Siedenbollentin(home) | 1-1 | Oberliga - Nordost-Nord |
| Aug 31, 2025 | Sparta Lichtenberg(away) | 3-6 | Oberliga - Nordost-Nord |
| Aug 24, 2025 | Tasmania Berlin(home) | 2-5 | Oberliga - Nordost-Nord |
How many goals should we expect?
Hansa Rostock II score 2.9 and concede 1.7 goals per match over their last 15; Croatia Berlin score 1.1 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hansa Rostock II | 2.9 | 1.7 | 3 | 10/15 | 13/15 |
| Croatia Berlin | 1.1 | 3.1 | 1 | 4/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Hansa Rostock II | 2 | 0 | 1 | 1 | 1 | 3 | 1 |
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