Kuban Kholding vs Dinamo Makhachkala: result 3-0 and analysis
Second League - Group 1Group 1 - 7Kick-off on September 20, 2020 at 01:00 PM (UTC)Stadion Kuban, Krasnodar
Full time
What was the result of Kuban Kholding vs Dinamo Makhachkala?
Kuban Kholding won 3-0 on September 20, 2020.
Goalscorers
- 28′A. VagidovKuban Kholding
- 35′A. VagidovKuban Kholding
- 90′139857Kuban Kholding
What is the recent form of both teams?
Over their last 13 matches in all competitions, Kuban Kholding have 9 wins, 1 draws and 3 defeats; Dinamo Makhachkala have 2, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2020 | Dinamo Stavropol(away) | 2-1 | Second League - Group 1 |
| Sep 6, 2020 | Anzhi(home) | 1-2 | Second League - Group 1 |
| Sep 2, 2020 | Dinamo Stavropol(home) | 3-4 | Cup |
| Aug 29, 2020 | Spartak Nalchik(away) | 2-0 | Second League - Group 1 |
| Aug 23, 2020 | Chernomorets(home) | 1-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2020 | Krasnodar III(home) | 4-2 | Second League - Group 1 |
| Sep 6, 2020 | Legion Dynamo(away) | 1-1 | Second League - Group 1 |
| Aug 29, 2020 | SKA Rostov(home) | 1-2 | Second League - Group 1 |
| Aug 23, 2020 | Druzhba(away) | 0-1 | Second League - Group 1 |
| Aug 15, 2020 | Forte Taganrog(home) | 1-0 | Second League - Group 1 |
How many goals should we expect?
Kuban Kholding score 2.2 and concede 1.4 goals per match over their last 13; Dinamo Makhachkala score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuban Kholding | 2.2 | 1.4 | 4 | 9/13 | 8/13 |
| Dinamo Makhachkala | 1.0 | 1.8 | 1 | 4/8 | 4/8 |
Over the last 13 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