Biolog vs Pobeda: result 2-2 and analysis
Second League - Group 1Group 1 - 2nd Phase - 2Kick-off on October 25, 2023 at 11:00 AM (UTC)Stadion Biolog, Progress
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What was the result of Biolog vs Pobeda?
Biolog and Pobeda drew 2-2 on October 25, 2023.
Goalscorers
- 9′Z. MaysultanovPobeda
- 16′G. MinosyanBiolog
- 56′G. MinosyanBiolog
- 87′M. ElmurzaevPobeda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biolog have 5 wins, 3 draws and 7 defeats; Pobeda have 2, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Alaniya Vladikavkaz II(away) | 2-3 | Second League - Group 1 |
| Oct 14, 2023 | Rubin Yalta(away) | 3-3 | Second League - Group 1 |
| Oct 7, 2023 | Druzhba(home) | 0-1 | Second League - Group 1 |
| Oct 1, 2023 | Kuban Kholding(away) | 1-2 | Second League - Group 1 |
| Sep 27, 2023 | Chernomorets(home) | 1-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Sevastopol(home) | 1-3 | Second League - Group 1 |
| Oct 14, 2023 | Mashuk-KMV(away) | 1-1 | Second League - Group 1 |
| Oct 8, 2023 | Legion Dynamo(away) | 2-2 | Second League - Group 1 |
| Oct 1, 2023 | Alaniya Vladikavkaz II(away) | 2-3 | Second League - Group 1 |
| Sep 23, 2023 | Spartak Nalchik(home) | 3-1 | Second League - Group 1 |
How many goals should we expect?
Biolog score 1.1 and concede 1.1 goals per match over their last 15; Pobeda score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biolog | 1.1 | 1.1 | 6 | 6/15 | 6/15 |
| Pobeda | 1.0 | 1.9 | 0 | 8/14 | 9/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Pobeda | 18 | 9 | 3 | 6 | 36 | 22 | 30 |
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