Vertykal vs Volna: result 0-2 and analysis
2. DivisionGroup B - 17Kick-off on September 12, 2015 at 01:00 PM (UTC)Stadyen Junatstva, Kobrin
Full time
What was the result of Vertykal vs Volna?
Volna won 0-2 on September 12, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 4 wins, 2 draws and 9 defeats; Volna 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 |
|---|---|---|---|
| Sep 5, 2015 | Lyuban'(away) | 5-0 | 2. Division |
| Aug 29, 2015 | Torpedo Minsk(home) | 0-3 | 2. Division |
| Aug 23, 2015 | Kletsk(home) | 0-1 | 2. Division |
| Aug 15, 2015 | Fc Luch Minsk(away) | 3-4 | 2. Division |
| Aug 8, 2015 | Uzda(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Kletsk(home) | 6-0 | 2. Division |
| Aug 29, 2015 | Fc Luch Minsk(away) | 0-1 | 2. Division |
| Aug 22, 2015 | Uzda(home) | 2-2 | 2. Division |
| Aug 15, 2015 | Krutogorye(away) | 0-0 | 2. Division |
| Aug 8, 2015 | Kolos-Druzhba(home) | 3-1 | 2. Division |
What does the head-to-head say?
In the last meeting: 0 Vertykal wins, 0 draws, 1 Volna win.
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2015 | Volna 5-3 Vertykal | 2. Division |
How many goals should we expect?
Vertykal score 1.7 and concede 1.9 goals per match over their last 15; Volna score 2.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.7 | 1.9 | 4 | 6/15 | 9/15 |
| Volna | 2.2 | 1.1 | 5 | 6/15 | 7/15 |
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 |
A question about Vertykal vs Volna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy