Alaniya Vladikavkaz II vs Kuban Kholding: result 0-2 and analysis
Second League - Group 1Group 1 - 17Kick-off on November 7, 2021 at 11:00 AM (UTC)
Full time
What was the result of Alaniya Vladikavkaz II vs Kuban Kholding?
Kuban Kholding won 0-2 on November 7, 2021.
Goalscorers
- 40′R. RzaevKuban Kholding
- 55′139857Kuban Kholding
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alaniya Vladikavkaz II have 1 wins, 3 draws and 11 defeats; Kuban Kholding have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Druzhba(away) | 1-1 | Second League - Group 1 |
| Oct 18, 2021 | Anzhi(home) | 1-3 | Second League - Group 1 |
| Oct 10, 2021 | Chayka(away) | 0-4 | Second League - Group 1 |
| Oct 3, 2021 | Spartak Nalchik(home) | 1-5 | Second League - Group 1 |
| Sep 26, 2021 | Mashuk-KMV(away) | 1-4 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2021 | Druzhba(home) | 3-1 | Second League - Group 1 |
| Oct 24, 2021 | Anzhi(away) | 1-0 | Second League - Group 1 |
| Oct 17, 2021 | Chayka(home) | 0-1 | Second League - Group 1 |
| Oct 10, 2021 | Spartak Nalchik(away) | 1-1 | Second League - Group 1 |
| Oct 3, 2021 | Mashuk-KMV(home) | 1-0 | Second League - Group 1 |
How many goals should we expect?
Alaniya Vladikavkaz II score 0.9 and concede 3.0 goals per match over their last 15; Kuban Kholding score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alaniya Vladikavkaz II | 0.9 | 3.0 | 1 | 8/15 | 11/15 |
| Kuban Kholding | 1.1 | 1.0 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Kuban Kholding | 36 | 16 | 14 | 6 | 56 | 29 | 62 |
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