Zenit 2 vs Fakel: result 1-1 and analysis
First LeagueRegular Season - 37Kick-off on May 14, 2017 at 02:00 PM (UTC)Malaya Sportivnaya Arena, St. Petersburg
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What was the result of Zenit 2 vs Fakel?
Zenit 2 and Fakel drew 1-1 on May 14, 2017.
Goalscorers
- 6′A. EvseevZenit 2
- 70′Mikhail BiryukovFakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit 2 have 2 wins, 6 draws and 7 defeats; Fakel have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2017 | Kuban(away) | 0-3 | First League |
| May 6, 2017 | Mordovia Saransk(home) | 3-1 | First League |
| Apr 29, 2017 | Sibir(away) | 1-1 | First League |
| Apr 23, 2017 | Khimki(home) | 1-3 | First League |
| Apr 17, 2017 | Ska-khabarovsk(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2017 | Baltika(home) | 1-2 | First League |
| May 6, 2017 | Dynamo(away) | 1-0 | First League |
| Apr 29, 2017 | Enisey(home) | 0-3 | First League |
| Apr 23, 2017 | Tyumen(away) | 1-3 | First League |
| Apr 17, 2017 | Shinnik Yaroslavl(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Zenit 2 win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Fakel 1-0 Zenit 2 | First League |
How many goals should we expect?
Zenit 2 score 1.1 and concede 1.7 goals per match over their last 15; Fakel score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit 2 | 1.1 | 1.7 | 3 | 9/15 | 7/15 |
| Fakel | 0.8 | 1.4 | 6 | 5/15 | 7/15 |
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