Tyumen vs Fakel: result 0-0 and analysis
First LeagueRegular Season - 22Kick-off on November 8, 2017 at 02:00 PM (UTC)Stadion Geolog, Tyumen'
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What was the result of Tyumen vs Fakel?
Tyumen and Fakel drew 0-0 on November 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tyumen have 5 wins, 4 draws and 6 defeats; Fakel have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Zenit 2(away) | 2-1 | First League |
| Oct 29, 2017 | Enisey(home) | 1-1 | First League |
| Oct 22, 2017 | Spartak Moscow 2(away) | 1-3 | First League |
| Oct 14, 2017 | Tambov(home) | 3-1 | First League |
| Oct 7, 2017 | FC Orenburg(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | FC Sochi(home) | 0-0 | First League |
| Oct 29, 2017 | Shinnik Yaroslavl(away) | 1-0 | First League |
| Oct 21, 2017 | Khimki(home) | 0-1 | First League |
| Oct 14, 2017 | TOM Tomsk(away) | 0-1 | First League |
| Oct 7, 2017 | Krylia Sovetov(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Tyumen win(s), 1 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2017 | Fakel 1-0 Tyumen | First League |
| Apr 23, 2017 | Tyumen 3-1 Fakel | First League |
| Oct 2, 2016 | Fakel 0-0 Tyumen | First League |
How many goals should we expect?
Tyumen score 1.2 and concede 1.3 goals per match over their last 15; Fakel score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tyumen | 1.2 | 1.3 | 4 | 7/15 | 8/15 |
| Fakel | 0.7 | 1.3 | 6 | 4/15 | 5/15 |
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