SKA Rostov vs Biolog: result 3-1 and analysis
Second League - Group 1Group 1 - 32Kick-off on June 2, 2021 at 02:30 PM (UTC)Stadion Trud, Rostov-na-Donu
Full time
What was the result of SKA Rostov vs Biolog?
SKA Rostov won 3-1 on June 2, 2021.
Goalscorers
- 7′G. GongadzeSKA Rostov
- 10′F. GystarovSKA Rostov
- 25′A. KrikunenkoSKA Rostov
- 80′A. StepanovichBiolog
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Rostov have 8 wins, 3 draws and 4 defeats; Biolog have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2021 | Essentuki(home) | 1-0 | Second League - Group 1 |
| May 21, 2021 | Kuban Kholding(away) | 2-3 | Second League - Group 1 |
| May 15, 2021 | Krasnodar III(home) | 1-1 | Second League - Group 1 |
| May 10, 2021 | Legion Dynamo(away) | 0-0 | Second League - Group 1 |
| Apr 27, 2021 | Druzhba(home) | 3-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2021 | Druzhba(away) | 4-0 | Second League - Group 1 |
| May 21, 2021 | Forte Taganrog(home) | 2-3 | Second League - Group 1 |
| May 16, 2021 | Mashuk-KMV(away) | 3-1 | Second League - Group 1 |
| May 10, 2021 | Tuapse(home) | 4-1 | Second League - Group 1 |
| May 4, 2021 | Inter Cherkessk(away) | 5-0 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 SKA Rostov win(s), 0 draw(s), 0 Biolog win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2020 | Biolog 1-6 SKA Rostov | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 1.9 and concede 0.8 goals per match over their last 15; Biolog score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 1.9 | 0.8 | 7 | 5/15 | 7/15 |
| Biolog | 1.9 | 1.5 | 4 | 7/15 | 9/15 |
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