Volna Nizhegorodskaya vs KAMAZ: result 1-3 and analysis
Second League - Group 4Group 4 - 14Kick-off on October 31, 2020 at 01:00 PM (UTC)Stadion Khimik, Dzerzhinsk
Full time
What was the result of Volna Nizhegorodskaya vs KAMAZ?
KAMAZ won 1-3 on October 31, 2020.
Goalscorers
- 6′E. VoroninKAMAZ
- 48′Dmitri RudakovVolna Nizhegorodskaya
- 77′R. YanushkovskiyKAMAZ
- 90′R. OsmanovKAMAZ
What is the recent form of both teams?
Over their last 14 matches in all competitions, Volna Nizhegorodskaya have 8 wins, 3 draws and 3 defeats; KAMAZ have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Zenit Izhevsk(away) | 3-1 | Second League - Group 4 |
| Oct 18, 2020 | Zvezda Perm(home) | 1-2 | Second League - Group 4 |
| Oct 13, 2020 | Tyumen(away) | 1-0 | Second League - Group 4 |
| Oct 7, 2020 | Dinamo Barnaul(home) | 1-1 | Second League - Group 4 |
| Oct 4, 2020 | Novosibirsk(home) | 0-1 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Volga Ulyanovsk(home) | 1-3 | Second League - Group 4 |
| Oct 18, 2020 | Chelyabinsk(away) | 3-0 | Second League - Group 4 |
| Oct 13, 2020 | Ural II(home) | 2-3 | Second League - Group 4 |
| Oct 8, 2020 | Tyumen(away) | 0-1 | Second League - Group 4 |
| Oct 3, 2020 | Zvezda Perm(home) | 3-0 | Second League - Group 4 |
How many goals should we expect?
Volna Nizhegorodskaya score 1.4 and concede 0.9 goals per match over their last 14; KAMAZ score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volna Nizhegorodskaya | 1.4 | 0.9 | 6 | 7/14 | 7/14 |
| KAMAZ | 2.4 | 1.1 | 6 | 7/15 | 12/15 |
Over the last 14 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