Vertykal vs YuA-Stroy-DYuSSh: result 5-0 and analysis
2. DivisionGroup B · Matchday 9Kick-off on July 4, 2015 at 02:00 PM (UTC)Stadyen Junatstva, Kobrin
Full time
What was the result of Vertykal vs YuA-Stroy-DYuSSh?
Vertykal won 5-0 on July 4, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 3 wins, 5 draws and 7 defeats; YuA-Stroy-DYuSSh have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Volna(away) | 3-5 | 2. Division |
| Jun 20, 2015 | Lyuban'(home) | 4-1 | 2. Division |
| Jun 13, 2015 | Torpedo Minsk(away) | 0-0 | 2. Division |
| Jun 6, 2015 | Kletsk(away) | 0-5 | 2. Division |
| May 30, 2015 | Fc Luch Minsk(home) | 0-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2015 | Kletsk(home) | 1-6 | 2. Division |
| Jun 20, 2015 | Fc Luch Minsk(away) | 0-9 | 2. Division |
| Jun 13, 2015 | Uzda(home) | 0-6 | 2. Division |
| Jun 6, 2015 | Krutogorye(away) | 1-6 | 2. Division |
| May 30, 2015 | Kolos-Druzhba(home) | 0-4 | 2. Division |
How many goals should we expect?
Vertykal score 1.3 and concede 2.3 goals per match over their last 15; YuA-Stroy-DYuSSh score 0.9 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.3 | 2.3 | 3 | 9/15 | 9/15 |
| YuA-Stroy-DYuSSh | 0.9 | 3.7 | 2 | 6/15 | 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 |
A question about Vertykal vs YuA-Stroy-DYuSSh?
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