Baltika vs Fakel: result 0-2 and analysis
First LeagueRegular Season - 10Kick-off on September 8, 2018 at 01:00 PM (UTC)Rostec Arena, Kaliningrad
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What was the result of Baltika vs Fakel?
Fakel won 0-2 on September 8, 2018.
Goalscorers
- 58′I. LebedenkoFakel
- 63′Aleksandr ManukovskiyFakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Baltika have 4 wins, 5 draws and 6 defeats; Fakel have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Spartak Moscow 2(away) | 1-2 | First League |
| Aug 26, 2018 | Shinnik Yaroslavl(home) | 1-0 | First League |
| Aug 18, 2018 | Avangard Kursk(away) | 2-0 | First League |
| Aug 12, 2018 | FC Sochi(home) | 2-2 | First League |
| Aug 8, 2018 | TOM Tomsk(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2018 | Zenit 2(home) | 2-2 | First League |
| Aug 26, 2018 | Rotor Volgograd(away) | 2-1 | First League |
| Aug 18, 2018 | Khimki(home) | 2-0 | First League |
| Aug 12, 2018 | Sibir(home) | 0-1 | First League |
| Aug 8, 2018 | Spartak Moscow 2(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 4 meetings: 2 Baltika win(s), 1 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2018 | Fakel 0-1 Baltika | First League |
| Aug 19, 2017 | Baltika 0-1 Fakel | First League |
| 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 1.3 goals per match over their last 15; Fakel score 1.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Baltika | 1.0 | 1.3 | 6 | 8/15 | 7/15 |
| Fakel | 1.6 | 1.2 | 2 | 9/15 | 10/15 |
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