Belshina vs FC Vitebsk: result 1-1 and analysis
Premier LeagueRegular Season - 2Kick-off on April 19, 2015 at 01:00 PM (UTC)Stadyen Spartak, Shklov
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What was the result of Belshina vs FC Vitebsk?
Belshina and FC Vitebsk drew 1-1 on April 19, 2015.
Goalscorers
- 34′76533FC Vitebsk (pen.)
- 60′Ilya GalyuzaBelshina
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belshina have 6 wins, 4 draws and 5 defeats; FC Vitebsk have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2015 | FC Gomel(away) | 0-2 | Premier League |
| Nov 29, 2014 | Neman(away) | 2-5 | Premier League |
| Nov 23, 2014 | FC Dnepr Mogilev(home) | 1-1 | Premier League |
| Nov 8, 2014 | Dinamo Brest(home) | 2-1 | Premier League |
| Nov 1, 2014 | FC Slutsk(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2015 | Granit(away) | 1-1 | Premier League |
| Nov 22, 2014 | Granit(home) | 0-0 | 1. Division |
| Nov 15, 2014 | Lokomotiv Gomel(away) | 1-2 | 1. Division |
| Nov 8, 2014 | Slonim(home) | 2-2 | 1. Division |
| Nov 1, 2014 | Smolevichi-Sti(away) | 3-0 | 1. Division |
How many goals should we expect?
Belshina score 1.2 and concede 1.5 goals per match over their last 15; FC Vitebsk score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belshina | 1.2 | 1.5 | 3 | 11/15 | 8/15 |
| FC Vitebsk | 1.5 | 1.1 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Belshina sit 13th in Premier League (15 points from 17 matches) and FC Vitebsk sit 6th (29 points from 19 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | FC Vitebsk | 19 | 8 | 5 | 6 | 19 | 17 | 29 |
| 13 | Belshina | 17 | 4 | 3 | 10 | 16 | 31 | 15 |
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