Biolog vs Tuapse: result 4-1 and analysis
Second League - Group 1Group 1 - 28Kick-off on May 10, 2021 at 02:00 PM (UTC)Stadion Biolog, Progress
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What was the result of Biolog vs Tuapse?
Biolog won 4-1 on May 10, 2021.
Goalscorers
- 29′B. DzhanelidzeTuapse
- 35′D. LesnikovBiolog
- 53′Roman KhibabaBiolog
- 64′D. LesnikovBiolog
- 68′D. LesnikovBiolog
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biolog have 5 wins, 2 draws and 8 defeats; Tuapse have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2021 | Inter Cherkessk(away) | 5-0 | Second League - Group 1 |
| Apr 27, 2021 | Urozhay(home) | 0-1 | Second League - Group 1 |
| Apr 21, 2021 | Dinamo Makhachkala(away) | 0-1 | Second League - Group 1 |
| Apr 15, 2021 | Dinamo Stavropol(home) | 0-1 | Second League - Group 1 |
| Apr 9, 2021 | Anzhi(away) | 2-3 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2021 | Essentuki(home) | 2-0 | Second League - Group 1 |
| Apr 27, 2021 | Kuban Kholding(away) | 0-3 | Second League - Group 1 |
| Apr 21, 2021 | Krasnodar III(home) | 2-1 | Second League - Group 1 |
| Apr 15, 2021 | Legion Dynamo(away) | 2-7 | Second League - Group 1 |
| Apr 9, 2021 | SKA Rostov(away) | 0-4 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 Biolog win(s), 0 draw(s), 1 Tuapse win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2020 | Tuapse 3-2 Biolog | Second League - Group 1 |
How many goals should we expect?
Biolog score 1.8 and concede 1.5 goals per match over their last 15; Tuapse score 1.6 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biolog | 1.8 | 1.5 | 3 | 8/15 | 8/15 |
| Tuapse | 1.6 | 3.1 | 1 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
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