Biolog vs Alaniya Vladikavkaz II: result 5-3 and analysis
Second League - Group 1Group 1 - 9Kick-off on September 12, 2021 at 01:00 PM (UTC)Stadion Biolog, Progress
Full time
What was the result of Biolog vs Alaniya Vladikavkaz II?
Biolog won 5-3 on September 12, 2021.
Goalscorers
- 18′I. SelemenevBiolog
- 28′I. SelemenevBiolog
- 41′D. BerezovAlaniya Vladikavkaz II
- 62′Aleksandr TsiberkinBiolog (pen.)
- 69′D. KhokrishviliAlaniya Vladikavkaz II
- 74′A. MarchenkoBiolog
- 77′A. TemukovBiolog
- 89′I. DudaevAlaniya Vladikavkaz II (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biolog have 7 wins, 3 draws and 5 defeats; Alaniya Vladikavkaz II have 1, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2021 | Druzhba(away) | 1-1 | Second League - Group 1 |
| Sep 4, 2021 | Anzhi(home) | 0-2 | Second League - Group 1 |
| Aug 29, 2021 | Chayka(away) | 1-2 | Second League - Group 1 |
| Aug 18, 2021 | Spartak Nalchik(home) | 1-0 | Second League - Group 1 |
| Aug 15, 2021 | Mashuk-KMV(away) | 0-2 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2021 | Essentuki(home) | 1-1 | Second League - Group 1 |
| Sep 4, 2021 | Chernomorets(away) | 0-5 | Second League - Group 1 |
| Aug 30, 2021 | Dinamo Stavropol(home) | 3-0 | Second League - Group 1 |
| Aug 21, 2021 | SKA Rostov(away) | 0-5 | Second League - Group 1 |
| Aug 15, 2021 | Tuapse(away) | 1-3 | Second League - Group 1 |
How many goals should we expect?
Biolog score 2.0 and concede 1.2 goals per match over their last 15; Alaniya Vladikavkaz II score 0.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biolog | 2.0 | 1.2 | 6 | 7/15 | 10/15 |
| Alaniya Vladikavkaz II | 0.9 | 2.6 | 1 | 4/9 | 7/9 |
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