Fakel vs Tyumen: result 0-0 and analysis
First LeagueRegular Season - 15Kick-off on October 2, 2016 at 01:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Tyumen?
Fakel and Tyumen drew 0-0 on October 2, 2016.
Official lineup for Fakel vs Tyumen
The starting elevens fielded at kick-off.
Fakel
- 77R. Bolov
- 7A. Murnin
- 8A. Troshechkin
- 10I. Alshin
- 11A. Rylov
- 87N. Satalkin
- 13V. Shakhov
- 55M. Osipenko
- 71Mikhail Bagaev
- 93G. Burnash
- 1A. Sautin
Tyumen
- 9K. Mamtov
- 4D. Klenkin
- 8I. Chudin
- 10Aleksey Pustozerov
- 13Aleksey Shlyapkin
- 18V. Leshonok
- 37A. Chukanov
- 3K. Akhmedov
- 19R. Loktionov
- 90P. Shakuro
- 53A. Smirnov
What is the recent form of both teams?
Over their last 14 matches in all competitions, Fakel have 7 wins, 4 draws and 3 defeats; Tyumen have 5, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2016 | Shinnik Yaroslavl(away) | 2-0 | First League |
| Sep 17, 2016 | FK Sokol Saratov(home) | 1-2 | First League |
| Sep 10, 2016 | FK Neftekhimik(away) | 2-1 | First League |
| Sep 3, 2016 | Kuban(away) | 0-0 | First League |
| Aug 28, 2016 | Mordovia Saransk(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2016 | Kuban(home) | 2-0 | First League |
| Sep 17, 2016 | Mordovia Saransk(away) | 1-1 | First League |
| Sep 10, 2016 | Sibir(home) | 3-1 | First League |
| Sep 2, 2016 | Khimki(away) | 2-3 | First League |
| Aug 28, 2016 | Ska-khabarovsk(home) | 1-3 | First League |
How many goals should we expect?
Fakel score 1.4 and concede 0.9 goals per match over their last 14; Tyumen score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 1.4 | 0.9 | 6 | 8/14 | 6/14 |
| Tyumen | 1.1 | 1.3 | 4 | 7/14 | 6/14 |
Over the last 14 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 Fakel vs Tyumen?
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