Luch-Energiya vs Fakel: result 0-2 and analysis
First LeagueRegular Season - 3Kick-off on July 23, 2016 at 07:00 AM (UTC)Stadion Dinamo, Vladivostok
Full time
What was the result of Luch-Energiya vs Fakel?
Fakel won 0-2 on July 23, 2016.
Goalscorers
- 16′97743Fakel
- 47′A. MurninFakel
Official lineup for Luch-Energiya vs Fakel
The starting elevens fielded at kick-off.
Luch-Energiya
- 69A. Nosov
- 10Nivaldo Rodrigues Ferreira
- 12Sergey Ponomarenko
- 11V. Minich
- 17A. Rebko
- 85M. Popov
- 3Maksim Nasadyuk
- 5Anton Piskunov
- 6Yuri Kolomyts
- 13A. Gritsaenko
- 1Aleksandr Kotlyarov
Fakel
- 7A. Murnin
- 91V. Svezhov
- 5D. Ivanov
- 22I. Drannikov
- 23I. Lukjanovs
- 87N. Satalkin
- 10I. Alshin
- 13V. Shakhov
- 71Mikhail Bagaev
- 78Oleksiy Kurilov
- 1A. Sautin
What is the recent form of both teams?
Over their last 2 matches in all competitions, Luch-Energiya have 1 win, 1 draw and 0 defeats; Fakel have 2, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Kuban(away) | 1-1 | First League |
| Jul 11, 2016 | Mordovia Saransk(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2016 | Spartak Nalchik(home) | 1-0 | First League |
| Jul 11, 2016 | Volgar Astrakhan(away) | 2-1 | First League |
How many goals should we expect?
Luch-Energiya score 1.0 and concede 0.5 goals per match over their last 2; Fakel score 1.5 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luch-Energiya | 1.0 | 0.5 | 1 | 1/2 | 0/2 |
| Fakel | 1.5 | 0.5 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Fakel | 34 | 20 | 8 | 6 | 44 | 22 | 68 |
A question about Luch-Energiya vs Fakel?
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