Alaniya Vladikavkaz II vs Rubin Yalta: result 1-0 and analysis
Second League - Group 1Group 1 - 17Kick-off on July 6, 2024 at 01:00 PM (UTC)
Full time
What was the result of Alaniya Vladikavkaz II vs Rubin Yalta?
Alaniya Vladikavkaz II won 1-0 on July 6, 2024.
Goalscorers
- 53′A. ByazrovAlaniya Vladikavkaz II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alaniya Vladikavkaz II have 2 wins, 3 draws and 10 defeats; Rubin Yalta have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2024 | Angust Nazran(away) | 0-2 | Second League - Group 1 |
| Jun 18, 2024 | Druzhba(home) | 2-2 | Second League - Group 1 |
| Jun 12, 2024 | Nart Cherkessk(away) | 0-1 | Second League - Group 1 |
| Jun 6, 2024 | Legion Dynamo(home) | 0-7 | Second League - Group 1 |
| May 31, 2024 | Spartak Nalchik(away) | 0-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2024 | Angust Nazran(home) | 0-0 | Second League - Group 1 |
| Jun 24, 2024 | Druzhba(away) | 0-3 | Second League - Group 1 |
| Jun 18, 2024 | Nart Cherkessk(home) | 3-0 | Second League - Group 1 |
| Jun 12, 2024 | Legion Dynamo(away) | 1-2 | Second League - Group 1 |
| Jun 6, 2024 | Spartak Nalchik(home) | 2-1 | Second League - Group 1 |
How many goals should we expect?
Alaniya Vladikavkaz II score 0.9 and concede 2.7 goals per match over their last 15; Rubin Yalta score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alaniya Vladikavkaz II | 0.9 | 2.7 | 3 | 7/15 | 10/15 |
| Rubin Yalta | 1.2 | 0.9 | 7 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Rubin Yalta | 20 | 8 | 7 | 5 | 26 | 21 | 31 |
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