Luki-Energiya vs Zenit Irkutsk: result 2-0 and analysis
Second League - Group 2Group 2 - 6Kick-off on September 12, 2020 at 01:00 PM (UTC)Stadion Ekspress, Velikiye Luki
Full time
What was the result of Luki-Energiya vs Zenit Irkutsk?
Luki-Energiya won 2-0 on September 12, 2020.
Goalscorers
- 8′A. ShishaevLuki-Energiya
- 53′Maksim SchastlivtsevLuki-Energiya (o.g.)
What is the recent form of both teams?
Over their last 10 matches in all competitions, Luki-Energiya have 4 wins, 3 draws and 3 defeats; Zenit Irkutsk have 3, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2020 | Chita(home) | 3-0 | Second League - Group 2 |
| Aug 29, 2020 | Tver(home) | 0-2 | Second League - Group 2 |
| Aug 22, 2020 | Dolgoprudny(home) | 0-1 | Second League - Group 2 |
| Aug 19, 2020 | Dolgoprudny(home) | 1-1 | Cup |
| Aug 15, 2020 | Zenit 2(home) | 4-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2020 | Smolensk(away) | 2-1 | Second League - Group 2 |
| Sep 2, 2020 | Novosibirsk(home) | 1-1 | Cup |
| Aug 26, 2020 | Znamya Truda(home) | 1-1 | Second League - Group 2 |
| Aug 23, 2020 | Kolomna(home) | 4-0 | Second League - Group 2 |
| Aug 19, 2020 | Chita(away) | 1-0 | Cup |
How many goals should we expect?
Luki-Energiya score 1.7 and concede 1.1 goals per match over their last 10; Zenit Irkutsk score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luki-Energiya | 1.7 | 1.1 | 3 | 5/10 | 6/10 |
| Zenit Irkutsk | 1.3 | 1.1 | 2 | 7/11 | 4/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Luki-Energiya | 11 | 6 | 5 | 0 | 17 | 6 | 23 |
| 4 | Luki-Energiya | 19 | 10 | 6 | 3 | 31 | 17 | 36 |
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