Urozhay vs Spartak Nalchik: result 2-2 and analysis
Second League - Group 1Group 1 - 12Kick-off on October 26, 2020 at 03:00 PM (UTC)Stadion Kuban, Krasnodar
Full time
What was the result of Urozhay vs Spartak Nalchik?
Urozhay and Spartak Nalchik drew 2-2 on October 26, 2020.
Goalscorers
- 39′K. MamtovUrozhay (pen.)
- 48′A. OlmezovUrozhay (o.g.)
- 62′A. KhachirovSpartak Nalchik
- 68′R. PashtovSpartak Nalchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Urozhay have 9 wins, 1 draws and 5 defeats; Spartak Nalchik have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Chernomorets(away) | 2-1 | Second League - Group 1 |
| Oct 11, 2020 | Biolog(home) | 6-1 | Second League - Group 1 |
| Oct 4, 2020 | Essentuki(away) | 5-1 | Second League - Group 1 |
| Sep 27, 2020 | Kuban Kholding(home) | 0-2 | Second League - Group 1 |
| Sep 19, 2020 | Krasnodar III(away) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Dinamo Makhachkala(home) | 3-2 | Second League - Group 1 |
| Oct 11, 2020 | Dinamo Stavropol(away) | 1-4 | Second League - Group 1 |
| Oct 4, 2020 | Anzhi(home) | 1-1 | Second League - Group 1 |
| Sep 20, 2020 | Chernomorets(away) | 2-0 | Second League - Group 1 |
| Sep 13, 2020 | Biolog(home) | 2-0 | Second League - Group 1 |
How many goals should we expect?
Urozhay score 2.3 and concede 1.3 goals per match over their last 15; Spartak Nalchik score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Urozhay | 2.3 | 1.3 | 5 | 8/15 | 8/15 |
| Spartak Nalchik | 1.7 | 1.5 | 5 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Spartak Nalchik | 18 | 7 | 7 | 4 | 27 | 18 | 28 |
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