Vertykal vs Volna: result 0-1 and analysis
2. DivisionRegular Season - 14Kick-off on August 14, 2016 at 01:00 PM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Volna?
Volna won 0-1 on August 14, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 8 wins, 1 draws and 6 defeats; Volna have 13, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Dyussh-DSK(home) | 2-2 | 2. Division |
| Jul 30, 2016 | Neman-Agro(away) | 0-6 | 2. Division |
| Jul 23, 2016 | Kletsk(home) | 2-3 | 2. Division |
| Jul 16, 2016 | ML Vitebsk(away) | 3-0 | 2. Division |
| Jul 9, 2016 | YuA-Stroy-DYuSSh(home) | 5-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2016 | Montazhnik(home) | 3-1 | 2. Division |
| Jul 31, 2016 | Dyussh-DSK(away) | 1-1 | 2. Division |
| Jul 24, 2016 | Neman-Agro(home) | 5-1 | 2. Division |
| Jul 16, 2016 | Kletsk(away) | 4-0 | 2. Division |
| Jul 13, 2016 | ML Vitebsk(home) | 3-0 | 2. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Vertykal win(s), 0 draw(s), 3 Volna win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 30, 2016 | Volna 5-1 Vertykal | 2. Division |
| Sep 12, 2015 | Vertykal 0-2 Volna | 2. Division |
| Jun 27, 2015 | Volna 5-3 Vertykal | 2. Division |
How many goals should we expect?
Vertykal score 2.1 and concede 1.8 goals per match over their last 15; Volna score 3.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 2.1 | 1.8 | 4 | 10/15 | 13/15 |
| Volna | 3.7 | 0.7 | 5 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Vertykal | 21 | 11 | 2 | 8 | 63 | 39 | 35 |
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