Vertykal vs Zabudova-2007: result 1-2 and analysis
2. DivisionRegular Season - 19Kick-off on September 18, 2016 at 11:00 AM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Zabudova-2007?
Zabudova-2007 won 1-2 on September 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 7 wins, 3 draws and 5 defeats; Zabudova-2007 have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Osipovichy(home) | 1-1 | 2. Division |
| Aug 27, 2016 | Molodechno-DYuSSh 4(away) | 1-0 | 2. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Volna(home) | 1-3 | 2. Division |
| Sep 4, 2016 | Dyussh-DSK(away) | 2-2 | 2. Division |
| Aug 28, 2016 | Neman-Agro(home) | 1-1 | 2. Division |
| Aug 20, 2016 | Kletsk(away) | 1-0 | 2. Division |
| Aug 14, 2016 | ML Vitebsk(home) | 3-0 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Vertykal win(s), 0 draw(s), 1 Zabudova-2007 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2016 | Zabudova-2007 2-1 Vertykal | 2. Division |
Last archived meeting: Zabudova-2007 vs Vertykal on Jun 19, 2016
How many goals should we expect?
Vertykal score 1.7 and concede 1.4 goals per match over their last 15; Zabudova-2007 score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.7 | 1.4 | 5 | 8/15 | 10/15 |
| Zabudova-2007 | 1.5 | 1.3 | 5 | 9/15 | 10/15 |
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