Vertykal vs Molodechno-DYuSSh 4: result 1-0 and analysis
2. DivisionRegular Season - 3Kick-off on May 22, 2016 at 11:00 AM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Molodechno-DYuSSh 4?
Vertykal won 1-0 on May 22, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 5 wins, 1 draw and 9 defeats; Molodechno-DYuSSh 4 have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Montazhnik(away) | 2-1 | 2. Division |
| Apr 30, 2016 | Volna(away) | 1-5 | 2. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Volna(home) | 0-1 | 2. Division |
| Apr 30, 2016 | Dyussh-DSK(away) | 0-0 | 2. Division |
| Nov 14, 2015 | Kletsk(home) | 2-1 | 2. Division |
| Nov 7, 2015 | Fc Luch Minsk(away) | 1-2 | 2. Division |
| Oct 31, 2015 | Uzda(home) | 1-2 | 2. Division |
How many goals should we expect?
Vertykal score 1.9 and concede 1.9 goals per match over their last 15; Molodechno-DYuSSh 4 score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.9 | 1.9 | 3 | 8/15 | 10/15 |
| Molodechno-DYuSSh 4 | 1.3 | 1.0 | 6 | 6/15 | 6/15 |
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 Molodechno-DYuSSh 4?
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