Biolog vs Nart Cherkessk: result 1-2 and analysis
Second League - Group 1Group 1 - 7Kick-off on May 3, 2024 at 01:00 PM (UTC)Stadion Biolog, Progress
Full time
What was the result of Biolog vs Nart Cherkessk?
Nart Cherkessk won 1-2 on May 3, 2024.
Goalscorers
- 14′Grigori TarnovNart Cherkessk
- 69′A. DzhumaevNart Cherkessk
- 77′M. MalyshBiolog (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biolog have 4 wins, 5 draws and 6 defeats; Nart Cherkessk have 0, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2024 | Legion Dynamo(away) | 0-0 | Second League - Group 1 |
| Apr 20, 2024 | Spartak Nalchik(home) | 3-2 | Second League - Group 1 |
| Apr 6, 2024 | Sevastopol(away) | 1-0 | Second League - Group 1 |
| Mar 30, 2024 | Pobeda(home) | 2-2 | Second League - Group 1 |
| Nov 25, 2023 | Alaniya Vladikavkaz II(home) | 4-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2024 | Sevastopol(home) | 1-2 | Second League - Group 1 |
| Apr 20, 2024 | Pobeda(away) | 1-1 | Second League - Group 1 |
| Apr 11, 2024 | Dinamo Stavropol(away) | 0-0 | Second League - Group 1 |
| Apr 6, 2024 | Kuban Kholding(away) | 2-2 | Second League - Group 1 |
| Mar 30, 2024 | Astrakhan(away) | 0-3 | Second League - Group 1 |
How many goals should we expect?
Biolog score 1.5 and concede 1.7 goals per match over their last 15; Nart Cherkessk score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biolog | 1.5 | 1.7 | 3 | 8/15 | 10/15 |
| Nart Cherkessk | 0.8 | 1.6 | 1 | 3/5 | 3/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nart Cherkessk | 19 | 8 | 4 | 7 | 24 | 16 | 28 |
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