Orsha vs Volna: result 0-1 and analysis
1. DivisionRegular Season - 1Kick-off on April 8, 2017 at 11:00 AM (UTC)Stadyen Haradski, Orsha
Full time
What was the result of Orsha vs Volna?
Volna won 0-1 on April 8, 2017.
Goalscorers
- 57′Evgeni ProkopchikVolna (o.g.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Orsha have 6 wins, 4 draws and 5 defeats; Volna have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Khimik Svetlogorsk(away) | 2-0 | 1. Division |
| Oct 29, 2016 | Fc Luch Minsk(home) | 0-1 | 1. Division |
| Oct 15, 2016 | Baranovichi(home) | 3-1 | 1. Division |
| Oct 12, 2016 | FC Dnepr Mogilev(away) | 0-4 | 1. Division |
| Oct 8, 2016 | Oshmyany(home) | 7-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Montazhnik(away) | 2-0 | 2. Division |
| Oct 30, 2016 | Dyussh-DSK(home) | 3-2 | 2. Division |
| Oct 22, 2016 | Neman-Agro(away) | 1-2 | 2. Division |
| Oct 15, 2016 | Kletsk(home) | 1-2 | 2. Division |
| Oct 8, 2016 | ML Vitebsk(away) | 8-1 | 2. Division |
How many goals should we expect?
Orsha score 2.0 and concede 1.4 goals per match over their last 15; Volna score 3.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Orsha | 2.0 | 1.4 | 5 | 8/15 | 9/15 |
| Volna | 3.5 | 1.0 | 5 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Orsha sit 15th in 1. Division (22 points from 20 matches) and Volna sit 8th (31 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Volna | 21 | 9 | 4 | 8 | 37 | 37 | 31 |
| 8 | Volna | 12 | 5 | 2 | 5 | 18 | 19 | 17 |
| 12 | Orsha | 10 | 3 | 2 | 5 | 10 | 17 | 11 |
| 15 | Orsha | 20 | 6 | 4 | 10 | 22 | 35 | 22 |
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