Vertykal vs Montazhnik: result 0-0 and analysis
2. DivisionRegular Season - 15Kick-off on August 21, 2016 at 01:00 PM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
Full time
What was the result of Vertykal vs Montazhnik?
Vertykal and Montazhnik drew 0-0 on August 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 7 wins, 1 draws and 7 defeats; Montazhnik have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 16, 2016 | ML Vitebsk(away) | 3-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2016 | Torpedo Mogilev(home) | 2-1 | 2. Division |
| Aug 7, 2016 | Volna(away) | 1-3 | 2. Division |
| Jul 31, 2016 | Viktoriya Maryina Horka(home) | 4-0 | 2. Division |
| Jul 24, 2016 | Dyussh-DSK(home) | 2-2 | 2. Division |
| Jul 17, 2016 | Zabudova-2007(home) | 2-1 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Vertykal win(s), 0 draw(s), 0 Montazhnik win(s).
| Date | Score | Competition |
|---|---|---|
| May 8, 2016 | Montazhnik 1-2 Vertykal | 2. Division |
Last archived meeting: Montazhnik vs Vertykal on May 8, 2016
How many goals should we expect?
Vertykal score 1.7 and concede 1.8 goals per match over their last 15; Montazhnik score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.7 | 1.8 | 4 | 9/15 | 12/15 |
| Montazhnik | 1.7 | 1.7 | 3 | 9/13 | 10/13 |
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