Astrakhan vs Biolog: result 3-2 and analysis
Second League - Group 1Group 1 - 16Kick-off on June 30, 2024 at 02:00 PM (UTC)Stadion imeni Kolosova, Astrakhan'
Full time
What was the result of Astrakhan vs Biolog?
Astrakhan won 3-2 on June 30, 2024.
Goalscorers
- 13′B. KondramashinBiolog
- 60′I. LevchenkovAstrakhan
- 66′K. PluzhnikovAstrakhan
- 67′R. TimakovBiolog
- 75′M. PolushinAstrakhan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Astrakhan have 9 wins, 3 draws and 3 defeats; Biolog have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2024 | Pobeda(home) | 1-0 | Second League - Group 1 |
| Jun 12, 2024 | Dinamo Stavropol(away) | 1-2 | Second League - Group 1 |
| Jun 6, 2024 | Kuban Kholding(home) | 1-0 | Second League - Group 1 |
| May 25, 2024 | Rostov II(away) | 0-3 | Second League - Group 1 |
| May 19, 2024 | Dynamo Makhachkala II(home) | 3-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2024 | Rostov II(home) | 0-3 | Second League - Group 1 |
| 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 |
How many goals should we expect?
Astrakhan score 1.3 and concede 0.6 goals per match over their last 15; Biolog score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Astrakhan | 1.3 | 0.6 | 9 | 4/15 | 5/15 |
| Biolog | 1.5 | 1.4 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Astrakhan | 19 | 6 | 4 | 9 | 25 | 28 | 22 |
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