Dinamo Stavropol vs Biolog: result 3-1 and analysis
Second League - Group 1Group 1 - 8Kick-off on September 27, 2020 at 02:00 PM (UTC)Stadion Dinamo, Stavropol'
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What was the result of Dinamo Stavropol vs Biolog?
Dinamo Stavropol won 3-1 on September 27, 2020.
Goalscorers
- 4′I. ChernyshovDinamo Stavropol (pen.)
- 9′I. ChernyshovDinamo Stavropol
- 12′V. KormishinBiolog
- 81′Denis VaseninDinamo Stavropol
What is the recent form of both teams?
Over their last 13 matches in all competitions, Dinamo Stavropol have 6 wins, 1 draws and 6 defeats; Biolog have 4, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2020 | Rotor Volgograd(home) | 3-0 | Cup |
| Sep 20, 2020 | Essentuki(away) | 0-2 | Second League - Group 1 |
| Sep 13, 2020 | Kuban Kholding(home) | 1-2 | Second League - Group 1 |
| Sep 7, 2020 | Krasnodar III(away) | 3-1 | Second League - Group 1 |
| Sep 2, 2020 | Kuban Kholding(away) | 4-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Anzhi(home) | 1-1 | Second League - Group 1 |
| Sep 13, 2020 | Spartak Nalchik(away) | 0-2 | Second League - Group 1 |
| Sep 6, 2020 | Chernomorets(home) | 0-1 | Second League - Group 1 |
| Sep 2, 2020 | Chernomorets(away) | 0-4 | Cup |
| Aug 23, 2020 | Essentuki(away) | 2-1 | Second League - Group 1 |
How many goals should we expect?
Dinamo Stavropol score 1.8 and concede 1.7 goals per match over their last 13; Biolog score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Stavropol | 1.8 | 1.7 | 3 | 7/13 | 10/13 |
| Biolog | 1.2 | 1.8 | 1 | 7/13 | 8/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Dinamo Stavropol | 36 | 21 | 10 | 5 | 55 | 32 | 73 |
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