Ural II vs Spartak Tuymazy: result 1-1 and analysis
Second League - Group 4Group 4 - 13Kick-off on October 5, 2021 at 09:30 AM (UTC)Stadion Central'nyj (old), Ekaterinburg
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What was the result of Ural II vs Spartak Tuymazy?
Ural II and Spartak Tuymazy drew 1-1 on October 5, 2021.
Goalscorers
- 16′V. ZhuravlevSpartak Tuymazy
- 84′M. AgeevUral II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ural II have 7 wins, 2 draws and 6 defeats; Spartak Tuymazy have 6, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2021 | Chelyabinsk(away) | 0-3 | Second League - Group 4 |
| Sep 26, 2021 | Torpedo Miass(away) | 1-2 | Second League - Group 4 |
| Sep 18, 2021 | Lada Tolyatti(home) | 4-3 | Second League - Group 4 |
| Sep 12, 2021 | Tyumen(away) | 1-2 | Second League - Group 4 |
| Sep 5, 2021 | Dinamo Barnaul(home) | 4-1 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2021 | Amkar(home) | 4-1 | Second League - Group 4 |
| Sep 26, 2021 | Chelyabinsk(home) | 2-2 | Second League - Group 4 |
| Sep 17, 2021 | Dinamo Barnaul(away) | 0-3 | Second League - Group 4 |
| Sep 14, 2021 | Irtysh Omsk(away) | 1-3 | Second League - Group 4 |
| Sep 5, 2021 | Zvezda Perm(home) | 3-2 | Second League - Group 4 |
How many goals should we expect?
Ural II score 1.9 and concede 1.5 goals per match over their last 15; Spartak Tuymazy score 2.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ural II | 1.9 | 1.5 | 2 | 11/15 | 13/15 |
| Spartak Tuymazy | 2.1 | 1.9 | 1 | 9/14 | 11/14 |
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