Fakel vs Sibir: result 2-0 and analysis
First LeagueRegular Season - 27Kick-off on March 19, 2017 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
Full time
What was the result of Fakel vs Sibir?
Fakel won 2-0 on March 19, 2017.
Goalscorers
- 22′M. OsipenkoFakel
- 90′97743Fakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 5 wins, 5 draws and 5 defeats; Sibir have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2017 | Khimki(away) | 0-0 | First League |
| Mar 8, 2017 | Ska-khabarovsk(home) | 0-0 | First League |
| Nov 25, 2016 | Tambov(away) | 0-4 | First League |
| Nov 19, 2016 | FC Tosno(home) | 0-0 | First League |
| Nov 13, 2016 | Spartak Moscow 2(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2017 | Kuban(home) | 0-0 | First League |
| Mar 8, 2017 | Mordovia Saransk(away) | 0-0 | First League |
| Nov 26, 2016 | FK Neftekhimik(home) | 2-1 | First League |
| Nov 19, 2016 | Khimki(home) | 1-0 | First League |
| Nov 13, 2016 | Ska-khabarovsk(away) | 0-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Fakel win(s), 1 draw(s), 0 Sibir win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2016 | Sibir 1-1 Fakel | First League |
How many goals should we expect?
Fakel score 0.7 and concede 0.9 goals per match over their last 15; Sibir score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.7 | 0.9 | 7 | 4/15 | 5/15 |
| Sibir | 0.8 | 1.1 | 6 | 6/15 | 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