Molodechno-DYuSSh 4 vs Vertykal: result 0-1 and analysis
2. DivisionRegular Season - 16Kick-off on August 27, 2016 at 11:00 AM (UTC)Stadyen Haradski, Molodechno
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What was the result of Molodechno-DYuSSh 4 vs Vertykal?
Vertykal won 0-1 on August 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Molodechno-DYuSSh 4 have 9 wins, 1 draws and 5 defeats; Vertykal have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | Volna(away) | 0-3 | 2. Division |
| Aug 13, 2016 | Dyussh-DSK(home) | 5-1 | 2. Division |
| Aug 7, 2016 | Neman-Agro(home) | 4-1 | 2. Division |
| Jul 30, 2016 | Kletsk(away) | 2-1 | 2. Division |
| Jul 23, 2016 | ML Vitebsk(home) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | Montazhnik(home) | 0-0 | 2. Division |
| Aug 14, 2016 | Volna(home) | 0-1 | 2. Division |
| Aug 7, 2016 | Dyussh-DSK(home) | 2-2 | 2. Division |
| Jul 30, 2016 | Neman-Agro(away) | 0-6 | 2. Division |
| Jul 23, 2016 | Kletsk(home) | 2-3 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Molodechno-DYuSSh 4 win(s), 0 draw(s), 1 Vertykal win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2016 | Vertykal 1-0 Molodechno-DYuSSh 4 | 2. Division |
Last archived meeting: Vertykal vs Molodechno-DYuSSh 4 on May 22, 2016
How many goals should we expect?
Molodechno-DYuSSh 4 score 2.0 and concede 1.1 goals per match over their last 15; Vertykal score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Molodechno-DYuSSh 4 | 2.0 | 1.1 | 4 | 6/15 | 9/15 |
| Vertykal | 1.7 | 1.8 | 4 | 9/15 | 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 |
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