Dynamo Makhachkala II vs Kuban Kholding: result 0-2 and analysis
Second League - Group 1Group 1 - 10Kick-off on May 25, 2024 at 02:00 PM (UTC)
Full time
What was the result of Dynamo Makhachkala II vs Kuban Kholding?
Kuban Kholding won 0-2 on May 25, 2024.
Goalscorers
- 39′R. TrefilovKuban Kholding
- 82′I. SapozhnikovKuban Kholding
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Makhachkala II have 2 wins, 5 draws and 8 defeats; Kuban Kholding have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2024 | Astrakhan(away) | 0-3 | Second League - Group 1 |
| May 15, 2024 | Druzhba(home) | 2-3 | Second League - Group 1 |
| May 11, 2024 | Rostov II(home) | 0-3 | Second League - Group 1 |
| May 8, 2024 | Angust Nazran(away) | 1-1 | Second League - Group 1 |
| Apr 27, 2024 | Forte Taganrog(away) | 0-4 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2024 | Forte Taganrog(home) | 2-0 | Second League - Group 1 |
| May 11, 2024 | Stroitel Kamensk-Shakht.(home) | 1-1 | Second League - Group 1 |
| May 4, 2024 | Rubin Yalta(home) | 0-2 | Second League - Group 1 |
| Apr 28, 2024 | Alaniya Vladikavkaz II(away) | 2-1 | Second League - Group 1 |
| Apr 24, 2024 | Spartak Nalchik(home) | 0-1 | Second League - Group 1 |
How many goals should we expect?
Dynamo Makhachkala II score 0.9 and concede 1.8 goals per match over their last 15; Kuban Kholding score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Makhachkala II | 0.9 | 1.8 | 3 | 6/15 | 9/15 |
| Kuban Kholding | 1.2 | 1.0 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Dynamo Makhachkala II | 20 | 3 | 4 | 13 | 16 | 35 | 13 |
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