Luch-Energiya vs Krylia Sovetov: result 2-0 and analysis
First LeagueRegular Season - 38Kick-off on May 12, 2018 at 11:00 AM (UTC)Stadion Dinamo, Vladivostok
Full time
What was the result of Luch-Energiya vs Krylia Sovetov?
Luch-Energiya won 2-0 on May 12, 2018.
Goalscorers
- 5′Maksim NasadyukLuch-Energiya
- 25′A. NosovLuch-Energiya
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luch-Energiya have 4 wins, 4 draws and 7 defeats; Krylia Sovetov have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Nizhny Novgorod(away) | 0-1 | First League |
| May 2, 2018 | Avangard Kursk(home) | 2-2 | First League |
| Apr 28, 2018 | Kuban(home) | 2-2 | First League |
| Apr 21, 2018 | Rotor Volgograd(away) | 2-4 | First League |
| Apr 15, 2018 | Fakel(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Kuban(home) | 1-0 | First League |
| May 2, 2018 | Rotor Volgograd(away) | 2-0 | First League |
| Apr 28, 2018 | Fakel(home) | 2-1 | First League |
| Apr 21, 2018 | Zenit 2(away) | 2-0 | First League |
| Apr 15, 2018 | Enisey(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Luch-Energiya win(s), 0 draw(s), 1 Krylia Sovetov win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 8, 2017 | Krylia Sovetov 2-0 Luch-Energiya | First League |
Last archived meeting: Krylia Sovetov vs Luch-Energiya on Jul 8, 2017
How many goals should we expect?
Luch-Energiya score 1.4 and concede 1.7 goals per match over their last 15; Krylia Sovetov score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luch-Energiya | 1.4 | 1.7 | 2 | 10/15 | 9/15 |
| Krylia Sovetov | 1.8 | 0.5 | 10 | 4/15 | 4/15 |
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