FC Vitebsk vs Zorka-BDU: result 3-1 and analysis
1. DivisionRegular Season - 26Kick-off on October 25, 2014 at 03:00 PM (UTC)Stadyen Central'ny Vitsyebski, Vitebsk
Full time
What was the result of FC Vitebsk vs Zorka-BDU?
FC Vitebsk won 3-1 on October 25, 2014.
Goalscorers
- 28′Andrei BaranokFC Vitebsk
- 45′V. ShakovFC Vitebsk (pen.)
- 77′V. ZhukZorka-BDU
- 78′Maksim RazumovFC Vitebsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Vitebsk have 7 wins, 2 draws and 6 defeats; Zorka-BDU have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | FC Isloch Minsk R.(away) | 0-2 | 1. Division |
| Oct 11, 2014 | Volna(home) | 2-1 | 1. Division |
| Oct 4, 2014 | Minsk II(away) | 2-0 | 1. Division |
| Sep 27, 2014 | Lida(home) | 3-1 | 1. Division |
| Sep 20, 2014 | Khimik Svetlogorsk(away) | 2-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Volna(home) | 1-0 | 1. Division |
| Oct 11, 2014 | Lida(away) | 3-2 | 1. Division |
| Oct 3, 2014 | Slavia Mozyr(home) | 3-0 | 1. Division |
| Sep 28, 2014 | Gorodeya(home) | 1-0 | 1. Division |
| Sep 20, 2014 | Sputnik(home) | 5-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Vitebsk win(s), 1 draw(s), 0 Zorka-BDU win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 21, 2014 | Zorka-BDU 2-2 FC Vitebsk | 1. Division |
Last archived meeting: Zorka-BDU vs FC Vitebsk on Jun 21, 2014
How many goals should we expect?
FC Vitebsk score 1.3 and concede 1.1 goals per match over their last 15; Zorka-BDU score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Vitebsk | 1.3 | 1.1 | 5 | 5/15 | 7/15 |
| Zorka-BDU | 1.7 | 1.0 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
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