Baltika vs Fakel: result 0-1 and analysis
First LeagueRegular Season - 9Kick-off on August 19, 2017 at 05:00 PM (UTC)Rostec Arena, Kaliningrad
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What was the result of Baltika vs Fakel?
Fakel won 0-1 on August 19, 2017.
Goalscorers
- 80′A. AlkhazovFakel (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baltika have 8 wins, 3 draws and 4 defeats; Fakel have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2017 | Zenit 2(away) | 0-2 | First League |
| Aug 9, 2017 | Enisey(home) | 0-5 | First League |
| Aug 5, 2017 | Avangard Kursk(away) | 1-1 | First League |
| Aug 1, 2017 | Spartak Moscow 2(away) | 2-0 | First League |
| Jul 26, 2017 | Tambov(home) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2017 | Spartak Moscow 2(home) | 0-3 | First League |
| Aug 9, 2017 | Tambov(away) | 0-1 | First League |
| Aug 5, 2017 | FC Orenburg(home) | 0-1 | First League |
| Jul 30, 2017 | Sibir(away) | 0-4 | First League |
| Jul 26, 2017 | Tyumen(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Baltika win(s), 1 draw(s), 0 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2017 | Fakel 1-2 Baltika | First League |
| Oct 22, 2016 | Baltika 0-0 Fakel | First League |
How many goals should we expect?
Baltika score 1.0 and concede 0.9 goals per match over their last 15; Fakel score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika | 1.0 | 0.9 | 7 | 4/15 | 4/15 |
| Fakel | 0.5 | 1.5 | 4 | 4/15 | 6/15 |
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