Tyumen vs Volna Nizhegorodskaya: result 0-1 and analysis
Second League - Group 4Group 4 - 11Kick-off on October 13, 2020 at 10:00 AM (UTC)Stadion Geolog, Tyumen'
Full time
What was the result of Tyumen vs Volna Nizhegorodskaya?
Volna Nizhegorodskaya won 0-1 on October 13, 2020.
Goalscorers
- 50′A. FrolovVolna Nizhegorodskaya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tyumen have 12 wins, 1 draws and 2 defeats; Volna Nizhegorodskaya have 6, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2020 | KAMAZ(home) | 1-0 | Second League - Group 4 |
| Oct 3, 2020 | Zenit Izhevsk(away) | 1-0 | Second League - Group 4 |
| Sep 27, 2020 | Ural II(away) | 2-1 | Second League - Group 4 |
| Sep 20, 2020 | Chelyabinsk(home) | 1-0 | Second League - Group 4 |
| Sep 12, 2020 | Krylya Sovetov II(away) | 4-3 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2020 | Dinamo Barnaul(home) | 1-1 | Second League - Group 4 |
| Oct 4, 2020 | Novosibirsk(home) | 0-1 | Second League - Group 4 |
| Sep 27, 2020 | Nosta(away) | 3-3 | Second League - Group 4 |
| Sep 20, 2020 | Orenburg II(home) | 1-0 | Second League - Group 4 |
| Sep 12, 2020 | Lada Tolyatti(away) | 2-1 | Second League - Group 4 |
How many goals should we expect?
Tyumen score 1.6 and concede 0.7 goals per match over their last 15; Volna Nizhegorodskaya score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tyumen | 1.6 | 0.7 | 8 | 6/15 | 5/15 |
| Volna Nizhegorodskaya | 1.4 | 0.8 | 5 | 5/11 | 5/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Volna Nizhegorodskaya | 25 | 11 | 4 | 10 | 33 | 35 | 37 |
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