Ska-khabarovsk vs Rotor Volgograd: result 0-1 and analysis
First LeagueRegular Season - 16Kick-off on October 13, 2018 at 05:00 AM (UTC)Stadion imeni V.I. Lenina, Khabarovsk
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What was the result of Ska-khabarovsk vs Rotor Volgograd?
Rotor Volgograd won 0-1 on October 13, 2018.
Goalscorers
- 66′K. MullinRotor Volgograd
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ska-khabarovsk have 3 wins, 9 draws and 3 defeats; Rotor Volgograd have 3, 8 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Khimki(away) | 0-0 | First League |
| Sep 30, 2018 | Fakel(home) | 2-1 | First League |
| Sep 23, 2018 | Spartak Moscow 2(away) | 1-2 | First League |
| Sep 19, 2018 | Shinnik Yaroslavl(away) | 1-1 | First League |
| Sep 15, 2018 | Avangard Kursk(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Krasnodar 2(home) | 1-0 | First League |
| Sep 30, 2018 | FC Armavir(away) | 2-2 | First League |
| Sep 23, 2018 | Nizhny Novgorod(home) | 2-1 | First League |
| Sep 19, 2018 | Baltika(away) | 1-1 | First League |
| Sep 15, 2018 | Zenit 2(home) | 1-1 | First League |
How many goals should we expect?
Ska-khabarovsk score 1.3 and concede 1.3 goals per match over their last 15; Rotor Volgograd score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ska-khabarovsk | 1.3 | 1.3 | 3 | 12/15 | 8/15 |
| Rotor Volgograd | 0.9 | 1.1 | 3 | 9/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ska-khabarovsk sit 17th in First League (3 points from 6 matches) and Rotor Volgograd sit 10th (10 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Rotor Volgograd | 7 | 3 | 1 | 3 | 12 | 10 | 10 |
| 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