Kuban Kholding vs Rotor-2: result 4-0 and analysis
Second League - Group 1Group 1 - 4Kick-off on September 22, 2021 at 01:00 PM (UTC)Stadion Urozhay, Pavlovskaya
Full time
What was the result of Kuban Kholding vs Rotor-2?
Kuban Kholding won 4-0 on September 22, 2021.
Goalscorers
- 23′S. LysenkoKuban Kholding
- 34′Gennadi KozlovKuban Kholding
- 50′S. LysenkoKuban Kholding
- 64′Gennadi KozlovKuban Kholding
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kuban Kholding have 6 wins, 3 draws and 6 defeats; Rotor-2 have 2, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2021 | Biolog(home) | 2-1 | Second League - Group 1 |
| Sep 13, 2021 | Essentuki(away) | 2-1 | Second League - Group 1 |
| Sep 8, 2021 | Chernomorets(home) | 0-3 | Second League - Group 1 |
| Sep 4, 2021 | Dinamo Stavropol(away) | 0-3 | Second League - Group 1 |
| Aug 29, 2021 | SKA Rostov(home) | 1-2 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2021 | Dinamo Stavropol(home) | 2-1 | Second League - Group 1 |
| Sep 12, 2021 | SKA Rostov(away) | 0-1 | Second League - Group 1 |
| Sep 8, 2021 | Tuapse(home) | 0-1 | Second League - Group 1 |
| Aug 29, 2021 | Dinamo Makhachkala(away) | 0-2 | Second League - Group 1 |
| Aug 21, 2021 | Forte Taganrog(home) | 1-2 | Second League - Group 1 |
How many goals should we expect?
Kuban Kholding score 1.1 and concede 1.3 goals per match over their last 15; Rotor-2 score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuban Kholding | 1.1 | 1.3 | 3 | 8/15 | 10/15 |
| Rotor-2 | 0.7 | 1.5 | 1 | 4/10 | 4/10 |
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