Fakel vs Sibir: result 0-1 and analysis
First LeagueRegular Season - 23Kick-off on November 12, 2017 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Sibir?
Sibir won 0-1 on November 12, 2017.
Goalscorers
- 81′V. GalyshSibir
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; Sibir have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2017 | Tyumen(away) | 0-0 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2017 | Zenit 2(home) | 3-1 | First League |
| Nov 4, 2017 | Enisey(away) | 0-0 | First League |
| Oct 29, 2017 | Baltika(home) | 3-0 | First League |
| Oct 21, 2017 | Tambov(away) | 1-4 | First League |
| Oct 14, 2017 | FC Orenburg(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Fakel win(s), 1 draw(s), 1 Sibir win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2017 | Sibir 4-0 Fakel | First League |
| Mar 19, 2017 | Fakel 2-0 Sibir | First League |
| Aug 21, 2016 | Sibir 1-1 Fakel | First League |
How many goals should we expect?
Fakel score 0.7 and concede 1.2 goals per match over their last 15; Sibir score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.7 | 1.2 | 7 | 4/15 | 5/15 |
| Sibir | 1.0 | 0.9 | 7 | 5/15 | 4/15 |
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