Pobeda vs Kuban Kholding: result 2-0 and analysis
Second League - Group 1Group 1 - 15Kick-off on June 25, 2024 at 03:00 PM (UTC)Stadion Spartak Khasavyurt, Khasavyurt
Full time
What was the result of Pobeda vs Kuban Kholding?
Pobeda won 2-0 on June 25, 2024.
Goalscorers
- 15′M. AbulashovPobeda
- 78′D. AbdulkadyrovPobeda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 2 wins, 7 draws and 6 defeats; Kuban Kholding have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2024 | Astrakhan(away) | 0-1 | Second League - Group 1 |
| Jun 12, 2024 | Rostov II(home) | 2-5 | Second League - Group 1 |
| Jun 6, 2024 | Dynamo Makhachkala II(away) | 3-1 | Second League - Group 1 |
| May 31, 2024 | Forte Taganrog(home) | 1-2 | Second League - Group 1 |
| May 25, 2024 | Stroitel Kamensk-Shakht.(away) | 1-2 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2024 | Dinamo Stavropol(home) | 0-3 | Second League - Group 1 |
| Jun 6, 2024 | Astrakhan(away) | 0-1 | Second League - Group 1 |
| May 31, 2024 | Rostov II(home) | 1-1 | Second League - Group 1 |
| May 25, 2024 | Dynamo Makhachkala II(away) | 2-0 | Second League - Group 1 |
| May 18, 2024 | Forte Taganrog(home) | 2-0 | Second League - Group 1 |
How many goals should we expect?
Pobeda score 1.1 and concede 1.4 goals per match over their last 15; Kuban Kholding score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 1.1 | 1.4 | 4 | 9/15 | 8/15 |
| Kuban Kholding | 1.2 | 1.2 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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