Elektron VN vs Zorkiy: result 0-1 and analysis
Second League - Group 2Group 2 - 3Kick-off on July 30, 2022 at 03:00 PM (UTC)
Full time
What was the result of Elektron VN vs Zorkiy?
Zorkiy won 0-1 on July 30, 2022.
Goalscorers
- 61′N. BosenkovZorkiy
Official lineup for Elektron VN vs Zorkiy
The starting elevens fielded at kick-off.
Elektron VN
- SS. Orlov
- LLinar Mukhametshin
- EEvgeni Zverev
- TT. Bukia
- RR. Petrov
- TTimur Koblov
- SS. Khrapov
- AArsen Kaytov
- RR. Romanov
- AA. Amiraliev
- NNikita Pivkin
Zorkiy
- MM. Melnichenko
- SS. Popovitskiy
- NNikita Vasiljev
- DD. Demetradze
- NN. Bosenkov
- NN. Sladkov
- RR. Imaev
- DD. Bobkov
- II. Demkov
- SS. Shaulukhov
- AA. Danilov
What is the recent form of both teams?
Over their last 2 matches in all competitions, Elektron VN have 0 wins, 0 draws and 2 defeats; Zorkiy have 2, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2022 | Leningradets(away) | 1-5 | Second League - Group 2 |
| Jul 28, 2019 | Leningradets(home) | 0-1 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2022 | Zenit 2(home) | 0-1 | Second League - Group 2 |
| Jul 24, 2022 | Luki-Energiya(home) | 2-0 | Second League - Group 2 |
| Mar 6, 2020 | Saturn Ramenskoye(home) | 3-4 | Friendlies Clubs |
| Aug 5, 2019 | Ryazan(home) | 1-3 | Cup |
| Jul 28, 2019 | Dolgoprudny(away) | 4-0 | Cup |
How many goals should we expect?
Elektron VN score 0.5 and concede 3.0 goals per match over their last 2; Zorkiy score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Elektron VN | 0.5 | 3.0 | 0 | 1/2 | 1/2 |
| Zorkiy | 2.0 | 1.6 | 2 | 2/5 | 3/5 |
Over the last 2 matches in all competitions.
A question about Elektron VN vs Zorkiy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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