Volna vs Vertykal: result 5-1 and analysis
2. DivisionRegular Season - 1Kick-off on April 30, 2016 at 01:00 PM (UTC)Stadyen Valna, Pinsk
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What was the result of Volna vs Vertykal?
Volna won 5-1 on April 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volna have 9 wins, 3 draws and 3 defeats; Vertykal have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2015 | Torpedo Mogilev(away) | 4-0 | 2. Division |
| Sep 26, 2015 | Torpedo Mogilev(home) | 2-1 | 2. Division |
| Sep 19, 2015 | Lyuban'(home) | 7-1 | 2. Division |
| Sep 12, 2015 | Vertykal(away) | 2-0 | 2. Division |
| Sep 5, 2015 | Kletsk(home) | 6-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2015 | Spartak(away) | 1-2 | 2. Division |
| Sep 26, 2015 | Spartak(home) | 1-0 | 2. Division |
| Sep 19, 2015 | YuA-Stroy-DYuSSh(away) | 5-1 | 2. Division |
| Sep 12, 2015 | Volna(home) | 0-2 | 2. Division |
| Sep 5, 2015 | Lyuban'(away) | 5-0 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Volna wins, 0 draws, 0 Vertykal wins.
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2015 | Vertykal 0-2 Volna | 2. Division |
| Jun 27, 2015 | Volna 5-3 Vertykal | 2. Division |
How many goals should we expect?
Volna score 2.5 and concede 1.0 goals per match over their last 15; Vertykal score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volna | 2.5 | 1.0 | 5 | 7/15 | 8/15 |
| Vertykal | 1.9 | 1.6 | 4 | 7/15 | 9/15 |
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 Volna vs Vertykal?
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