Vertykal vs Neman-Agro: result 0-1 and analysis
2. DivisionRegular Season - 25Kick-off on October 30, 2016 at 11:00 AM (UTC)Stadyen SDYuShOR-2, Kalinkavichy
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What was the result of Vertykal vs Neman-Agro?
Neman-Agro won 0-1 on October 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vertykal have 5 wins, 5 draws and 5 defeats; Neman-Agro have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 1, 2016 | Torpedo Mogilev(home) | 1-1 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Volna(home) | 2-1 | 2. Division |
| Oct 15, 2016 | Dyussh-DSK(home) | 2-1 | 2. Division |
| Oct 9, 2016 | Montazhnik(away) | 2-0 | 2. Division |
| Oct 1, 2016 | Kletsk(home) | 2-1 | 2. Division |
| Sep 24, 2016 | ML Vitebsk(away) | 0-0 | 2. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Vertykal win(s), 0 draw(s), 1 Neman-Agro win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2016 | Neman-Agro 6-0 Vertykal | 2. Division |
Last archived meeting: Neman-Agro vs Vertykal on Jul 30, 2016
How many goals should we expect?
Vertykal score 1.8 and concede 1.5 goals per match over their last 15; Neman-Agro score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vertykal | 1.8 | 1.5 | 6 | 7/15 | 9/15 |
| Neman-Agro | 2.2 | 1.4 | 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