Chelyabinsk vs Ural II: result 2-1 and analysis
Second League - Group 4Group 4 - 15Kick-off on November 5, 2020 at 10:00 AM (UTC)Stadion Central'nyj, Chelyabinsk
Full time
What was the result of Chelyabinsk vs Ural II?
Chelyabinsk won 2-1 on November 5, 2020.
Goalscorers
- 12′V. DubrovskiyChelyabinsk
- 22′I. BelyakovChelyabinsk
- 82′D. NovikovUral II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chelyabinsk have 8 wins, 1 draws and 6 defeats; Ural II have 5, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Lada Tolyatti(home) | 7-0 | Second League - Group 4 |
| Oct 25, 2020 | Lada Dimitrovgrad(away) | 1-1 | Second League - Group 4 |
| Oct 18, 2020 | KAMAZ(home) | 0-3 | Second League - Group 4 |
| Oct 13, 2020 | Zenit Izhevsk(away) | 1-0 | Second League - Group 4 |
| Oct 8, 2020 | Krylya Sovetov II(home) | 6-0 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Lada Dimitrovgrad(home) | 2-2 | Second League - Group 4 |
| Oct 25, 2020 | Lada Tolyatti(away) | 0-3 | Second League - Group 4 |
| Oct 18, 2020 | Zenit Izhevsk(away) | 1-1 | Second League - Group 4 |
| Oct 13, 2020 | KAMAZ(away) | 3-2 | Second League - Group 4 |
| Oct 3, 2020 | Krylya Sovetov II(away) | 2-1 | Second League - Group 4 |
How many goals should we expect?
Chelyabinsk score 2.1 and concede 0.9 goals per match over their last 15; Ural II score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chelyabinsk | 2.1 | 0.9 | 6 | 5/15 | 10/15 |
| Ural II | 1.4 | 1.6 | 1 | 11/14 | 9/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Ural II | 22 | 5 | 7 | 10 | 34 | 44 | 22 |
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