Fakel vs Zenit 2: result 0-1 and analysis
First LeagueRegular Season - 29Kick-off on March 24, 2018 at 01:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Zenit 2?
Zenit 2 won 0-1 on March 24, 2018.
Goalscorers
- 81′A. PanyukovZenit 2
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 2 wins, 5 draws and 8 defeats; Zenit 2 have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | Enisey(away) | 0-1 | First League |
| Mar 10, 2018 | Baltika(home) | 0-1 | First League |
| Mar 5, 2018 | Spartak Moscow 2(away) | 0-0 | First League |
| Nov 25, 2017 | Tambov(home) | 1-2 | First League |
| Nov 18, 2017 | FC Orenburg(away) | 0-5 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2018 | Avangard Kursk(home) | 0-4 | First League |
| Mar 10, 2018 | Enisey(home) | 0-3 | First League |
| Mar 4, 2018 | Baltika(away) | 1-0 | First League |
| Nov 24, 2017 | Spartak Moscow 2(home) | 1-1 | First League |
| Nov 19, 2017 | Tambov(away) | 1-3 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Fakel win(s), 1 draw(s), 1 Zenit 2 win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | Zenit 2 4-1 Fakel | First League |
| May 14, 2017 | Zenit 2 1-1 Fakel | First League |
| Oct 30, 2016 | Fakel 1-0 Zenit 2 | First League |
How many goals should we expect?
Fakel score 0.4 and concede 1.1 goals per match over their last 15; Zenit 2 score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.4 | 1.1 | 6 | 3/15 | 4/15 |
| Zenit 2 | 1.1 | 1.8 | 2 | 10/15 | 9/15 |
Over the last 15 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 |
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