Dyussh-DSK vs Vertykal: result 2-1 and analysis
2. DivisionRegular Season - 26Kick-off on November 5, 2016 at 10:00 AM (UTC)Stadyen DYuSSh-8, Gomel
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What was the result of Dyussh-DSK vs Vertykal?
Dyussh-DSK won 2-1 on November 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dyussh-DSK have 4 wins, 5 draws and 6 defeats; Vertykal have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Volna(away) | 2-3 | 2. Division |
| Oct 23, 2016 | Montazhnik(away) | 1-0 | 2. Division |
| Oct 15, 2016 | Neman-Agro(away) | 1-2 | 2. Division |
| Oct 8, 2016 | Kletsk(away) | 1-7 | 2. Division |
| Oct 1, 2016 | ML Vitebsk(home) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Neman-Agro(home) | 0-1 | 2. Division |
| Oct 22, 2016 | Kletsk(away) | 2-5 | 2. Division |
| Oct 15, 2016 | ML Vitebsk(home) | 0-0 | 2. Division |
| Oct 8, 2016 | YuA-Stroy-DYuSSh(away) | 4-0 | 2. Division |
| Oct 5, 2016 | Viktoriya Maryina Horka(away) | 5-1 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Dyussh-DSK win(s), 1 draw(s), 0 Vertykal win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 7, 2016 | Vertykal 2-2 Dyussh-DSK | 2. Division |
Last archived meeting: Vertykal vs Dyussh-DSK on Aug 7, 2016
How many goals should we expect?
Dyussh-DSK score 1.7 and concede 1.9 goals per match over their last 15; Vertykal score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dyussh-DSK | 1.7 | 1.9 | 4 | 9/15 | 10/15 |
| Vertykal | 1.5 | 1.5 | 5 | 7/15 | 8/15 |
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