Fakel vs Tyumen: result 1-0 and analysis
First LeagueRegular Season - 4Kick-off on July 26, 2017 at 04:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
Full time
What was the result of Fakel vs Tyumen?
Fakel won 1-0 on July 26, 2017.
Goalscorers
- 51′N. ChkhapeliaFakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 4 wins, 4 draws and 7 defeats; Tyumen have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2017 | FC Sochi(away) | 0-2 | First League |
| Jul 15, 2017 | Shinnik Yaroslavl(home) | 2-2 | First League |
| Jul 8, 2017 | Volgar Astrakhan(away) | 0-0 | First League |
| May 20, 2017 | Volgar Astrakhan(home) | 0-1 | First League |
| May 14, 2017 | Zenit 2(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2017 | Zenit 2(home) | 2-2 | First League |
| Jul 15, 2017 | Enisey(away) | 1-3 | First League |
| Jul 8, 2017 | Baltika(home) | 1-2 | First League |
| May 20, 2017 | Dynamo(home) | 0-2 | First League |
| May 14, 2017 | Enisey(away) | 0-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Fakel win(s), 1 draw(s), 1 Tyumen win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2017 | Tyumen 3-1 Fakel | First League |
| Oct 2, 2016 | Fakel 0-0 Tyumen | First League |
How many goals should we expect?
Fakel score 1.0 and concede 1.5 goals per match over their last 15; Tyumen score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 1.0 | 1.5 | 4 | 7/15 | 7/15 |
| Tyumen | 1.5 | 1.3 | 2 | 9/15 | 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