Biolog vs Rostov II: result 0-3 and analysis
Second League - Group 1Group 1 - 15Kick-off on June 24, 2024 at 02:00 PM (UTC)Stadion Biolog, Progress
Full time
What was the result of Biolog vs Rostov II?
Rostov II won 0-3 on June 24, 2024.
Goalscorers
- 16′Ilya ZubenkoRostov II
- 28′Kirill MoiseevRostov II
- 54′Imran AznaurovRostov II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biolog have 7 wins, 3 draws and 5 defeats; Rostov II have 8, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2024 | Dynamo Makhachkala II(away) | 2-1 | Second League - Group 1 |
| Jun 12, 2024 | Forte Taganrog(home) | 1-2 | Second League - Group 1 |
| Jun 6, 2024 | Stroitel Kamensk-Shakht.(home) | 2-0 | Second League - Group 1 |
| May 31, 2024 | Rubin Yalta(home) | 1-2 | Second League - Group 1 |
| May 26, 2024 | Alaniya Vladikavkaz II(home) | 4-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2024 | Sevastopol(home) | 2-1 | Second League - Group 1 |
| Jun 12, 2024 | Pobeda(away) | 5-2 | Second League - Group 1 |
| Jun 6, 2024 | Dinamo Stavropol(home) | 1-1 | Second League - Group 1 |
| May 31, 2024 | Kuban Kholding(away) | 1-1 | Second League - Group 1 |
| May 28, 2024 | Nart Cherkessk(home) | 3-1 | Second League - Group 1 |
How many goals should we expect?
Biolog score 1.7 and concede 1.2 goals per match over their last 15; Rostov II score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biolog | 1.7 | 1.2 | 5 | 9/15 | 11/15 |
| Rostov II | 2.5 | 1.2 | 3 | 10/13 | 10/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Rostov II | 19 | 12 | 4 | 3 | 39 | 16 | 40 |
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