Baltika II vs Dinamo Vologda: result 0-2 and analysis
Second League - Group 2Group 2 - 2Kick-off on April 6, 2025 at 03:00 PM (UTC)
Full time
What was the result of Baltika II vs Dinamo Vologda?
Dinamo Vologda won 0-2 on April 6, 2025.
Goalscorers
- 24′N. KireevDinamo Vologda (pen.)
- 45′A. ShabolinDinamo Vologda
What is the recent form of both teams?
Over their last 1 matches in all competitions, Baltika II have 0 wins, 1 draws and 0 defeats; Dinamo Vologda have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Irkutsk(away) | 2-2 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Torpedo Vladimir(home) | 1-1 | Second League - Group 2 |
| Nov 3, 2024 | Rodina Moskva III(home) | 3-1 | Second League - Group 2 |
| Oct 27, 2024 | Luki-Energiya(away) | 3-0 | Second League - Group 2 |
| Oct 20, 2024 | Baltika BFU(home) | 0-1 | Second League - Group 2 |
| Oct 11, 2024 | Znamya Truda(away) | 1-0 | Second League - Group 2 |
How many goals should we expect?
Baltika II score 2.0 and concede 2.0 goals per match over their last 1; Dinamo Vologda score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika II | 2.0 | 2.0 | 0 | 1/1 | 1/1 |
| Dinamo Vologda | 1.7 | 1.1 | 6 | 7/15 | 7/15 |
Over the last 1 matches in all competitions.
Where do both teams sit in the table?
Baltika II sit 5th in Second League - Group 2 (22 points from 12 matches) and Dinamo Vologda sit 8th (14 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Baltika II | 19 | 12 | 2 | 5 | 40 | 21 | 38 |
| 5 | Baltika II | 12 | 7 | 1 | 4 | 18 | 11 | 22 |
| 8 | Dinamo Vologda | 11 | 4 | 2 | 5 | 12 | 11 | 14 |
| 9 | Dinamo Vologda | 18 | 6 | 5 | 7 | 25 | 20 | 23 |
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