FC Vitebsk vs Shakhter Soligorsk: result 2-2 and analysis
Premier LeagueRegular Season - 11Kick-off on June 22, 2015 at 03:00 PM (UTC)Stadyen Central'ny Vitsyebski, Vitebsk
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What was the result of FC Vitebsk vs Shakhter Soligorsk?
FC Vitebsk and Shakhter Soligorsk drew 2-2 on June 22, 2015.
Goalscorers
- 1′N. ČovićShakhter Soligorsk
- 43′Artem SoloveyFC Vitebsk
- 68′Volodymyr KorobkaFC Vitebsk
- 85′K. VergeychikShakhter Soligorsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Vitebsk have 3 wins, 6 draws and 6 defeats; Shakhter Soligorsk have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2015 | Bate Borisov(away) | 0-4 | Premier League |
| Jun 5, 2015 | Neman(home) | 0-0 | Premier League |
| May 30, 2015 | FC Gomel(away) | 0-2 | Premier League |
| May 23, 2015 | Dinamo Minsk(home) | 0-0 | Premier League |
| May 16, 2015 | Slavia Mozyr(away) | 0-4 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2015 | Granit(home) | 1-1 | Premier League |
| Jun 5, 2015 | FC Minsk(away) | 0-1 | Premier League |
| May 30, 2015 | Torpedo Zhodino(home) | 3-1 | Premier League |
| May 20, 2015 | Belshina(home) | 0-0 | Premier League |
| May 16, 2015 | Bate Borisov(home) | 0-0 | Premier League |
How many goals should we expect?
FC Vitebsk score 1.0 and concede 1.5 goals per match over their last 15; Shakhter Soligorsk score 1.2 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Vitebsk | 1.0 | 1.5 | 5 | 7/15 | 8/15 |
| Shakhter Soligorsk | 1.2 | 0.5 | 8 | 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 |
|---|---|---|---|---|---|---|---|---|
| 6 | FC Vitebsk | 19 | 8 | 5 | 6 | 19 | 17 | 29 |
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