Mykolaiv vs Obolon'-Brovar: result 0-0 and analysis
Cup8th FinalsKick-off on October 26, 2016 at 03:30 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Obolon'-Brovar?
Mykolaiv and Obolon'-Brovar drew 0-0 on October 26, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 5 wins, 3 draws and 7 defeats; Obolon'-Brovar have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Ternopil'(away) | 1-2 | Persha Liga |
| Oct 16, 2016 | Veres Rivne(home) | 1-2 | Persha Liga |
| Oct 13, 2016 | Naftovyk-Ukrnafta(home) | 0-3 | Persha Liga |
| Oct 9, 2016 | Bukovyna(away) | 0-2 | Persha Liga |
| Oct 2, 2016 | Kobra(home) | 0-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2016 | Kramatorsk(away) | 1-3 | Persha Liga |
| Oct 15, 2016 | Kolos Kovalivka(home) | 2-1 | Persha Liga |
| Oct 9, 2016 | Ternopil'(away) | 0-0 | Persha Liga |
| Oct 1, 2016 | Veres Rivne(home) | 0-0 | Persha Liga |
| Sep 26, 2016 | Bukovyna(away) | 0-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Mykolaiv win(s), 2 draw(s), 0 Obolon'-Brovar win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2016 | Mykolaiv 1-0 Obolon'-Brovar | Persha Liga |
| May 6, 2016 | Obolon'-Brovar 0-0 Mykolaiv | Persha Liga |
| Sep 27, 2015 | Mykolaiv 2-2 Obolon'-Brovar | Persha Liga |
Last archived meeting: Mykolaiv vs Obolon'-Brovar on Sep 3, 2016
How many goals should we expect?
Mykolaiv score 1.0 and concede 1.1 goals per match over their last 15; Obolon'-Brovar score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 1.0 | 1.1 | 6 | 4/15 | 6/15 |
| Obolon'-Brovar | 0.9 | 1.0 | 6 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
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