Volga Ulyanovsk vs Irtysh Omsk: result 6-1 and analysis
Second League - Group 4Group 4 - 12Kick-off on September 30, 2021 at 02:00 PM (UTC)Stadion Trud, Ulyanovsk
Full time
What was the result of Volga Ulyanovsk vs Irtysh Omsk?
Volga Ulyanovsk won 6-1 on September 30, 2021.
Goalscorers
- 40′A. GeryugovVolga Ulyanovsk
- 45′I. MaksimenkovVolga Ulyanovsk
- 47′A. KashtanovVolga Ulyanovsk
- 55′A. GeryugovVolga Ulyanovsk
- 61′150017Irtysh Omsk
- 76′G. PaskinVolga Ulyanovsk
- 90′B. BilalovVolga Ulyanovsk (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volga Ulyanovsk have 9 wins, 3 draws and 3 defeats; Irtysh Omsk have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2021 | Dinamo Barnaul(home) | 2-0 | Second League - Group 4 |
| Sep 18, 2021 | Chelyabinsk(away) | 3-1 | Second League - Group 4 |
| Sep 12, 2021 | Zvezda Perm(home) | 3-0 | Second League - Group 4 |
| Sep 8, 2021 | Dinamo Barnaul(away) | 2-0 | Second League - Group 4 |
| Sep 5, 2021 | Novosibirsk(away) | 0-1 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2021 | Lada Tolyatti(away) | 2-2 | Second League - Group 4 |
| Sep 17, 2021 | Torpedo Miass(home) | 1-0 | Second League - Group 4 |
| Sep 14, 2021 | Spartak Tuymazy(home) | 3-1 | Second League - Group 4 |
| Sep 5, 2021 | Chelyabinsk(away) | 1-4 | Second League - Group 4 |
| Sep 2, 2021 | Ural II(away) | 1-1 | Second League - Group 4 |
How many goals should we expect?
Volga Ulyanovsk score 1.6 and concede 0.6 goals per match over their last 15; Irtysh Omsk score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volga Ulyanovsk | 1.6 | 0.6 | 7 | 5/15 | 6/15 |
| Irtysh Omsk | 1.5 | 1.8 | 2 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
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