Volna Nizhegorodskaya vs Lada Dimitrovgrad: result 1-0 and analysis
Second League - Group 4Group 4 - 5Kick-off on September 6, 2020 at 01:00 PM (UTC)Stadion Khimik, Dzerzhinsk
Full time
What was the result of Volna Nizhegorodskaya vs Lada Dimitrovgrad?
Volna Nizhegorodskaya won 1-0 on September 6, 2020.
Goalscorers
- 44′Aleksey DruzinVolna Nizhegorodskaya (pen.)
What is the recent form of both teams?
Over their last 5 matches in all competitions, Volna Nizhegorodskaya have 3 wins, 1 draws and 1 defeats; Lada Dimitrovgrad have 3, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | Krylya Sovetov II(away) | 2-1 | Second League - Group 4 |
| Aug 19, 2020 | Volga Ulyanovsk(home) | 0-0 | Cup |
| Aug 15, 2020 | Ural II(away) | 1-2 | Second League - Group 4 |
| Aug 9, 2020 | Chelyabinsk(home) | 1-0 | Second League - Group 4 |
| Aug 5, 2020 | Lada Tolyatti(away) | 3-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2020 | KAMAZ(away) | 0-4 | Second League - Group 4 |
| Aug 24, 2020 | Zenit Izhevsk(home) | 2-0 | Second League - Group 4 |
| Aug 19, 2020 | KAMAZ(away) | 1-1 | Cup |
| Aug 15, 2020 | Zvezda Perm(away) | 2-3 | Second League - Group 4 |
| Aug 10, 2020 | Tyumen(home) | 0-2 | Second League - Group 4 |
How many goals should we expect?
Volna Nizhegorodskaya score 1.4 and concede 0.6 goals per match over their last 5; Lada Dimitrovgrad score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volna Nizhegorodskaya | 1.4 | 0.6 | 3 | 2/5 | 3/5 |
| Lada Dimitrovgrad | 1.2 | 1.7 | 2 | 4/9 | 4/9 |
Over the last 5 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