FK Sokol Saratov vs Ska-khabarovsk: result 2-3 and analysis
First LeagueRegular Season - 8Kick-off on August 17, 2016 at 04:00 PM (UTC)Stadion Lokomotiv, Saratov
Full time
What was the result of FK Sokol Saratov vs Ska-khabarovsk?
Ska-khabarovsk won 2-3 on August 17, 2016.
Goalscorers
- 7′Adlan KatsaevSka-khabarovsk (pen.)
- 20′43791FK Sokol Saratov
- 48′Aleksandr ManukovskiyFK Sokol Saratov
- 90′R. KoryanSka-khabarovsk
- 90′R. KoryanSka-khabarovsk
What is the recent form of both teams?
Over their last 7 matches in all competitions, FK Sokol Saratov have 1 wins, 3 draws and 3 defeats; Ska-khabarovsk have 1, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Tambov(away) | 0-0 | First League |
| Aug 6, 2016 | FC Tosno(home) | 1-2 | First League |
| Aug 1, 2016 | Spartak Moscow 2(away) | 2-3 | First League |
| Jul 27, 2016 | Luch-Energiya(home) | 1-0 | First League |
| Jul 23, 2016 | Spartak Nalchik(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Fakel(home) | 1-1 | First League |
| Aug 6, 2016 | Kuban(away) | 2-0 | First League |
| Jul 31, 2016 | Mordovia Saransk(home) | 1-3 | First League |
| Jul 27, 2016 | Sibir(away) | 0-0 | First League |
| Jul 23, 2016 | Khimki(home) | 1-1 | First League |
How many goals should we expect?
FK Sokol Saratov score 1.0 and concede 1.3 goals per match over their last 7; Ska-khabarovsk score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Sokol Saratov | 1.0 | 1.3 | 2 | 5/7 | 3/7 |
| Ska-khabarovsk | 0.9 | 1.1 | 3 | 4/7 | 2/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Ska-khabarovsk | 6 | 1 | 0 | 5 | 4 | 11 | 3 |
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