Mykolaiv vs FC Mariupol: result 0-0 and analysis
CupQuarter-finalsKick-off on November 26, 2016 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs FC Mariupol?
Mykolaiv and FC Mariupol drew 0-0 on November 26, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 4 wins, 3 draws and 8 defeats; FC Mariupol have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Hirnyk-Sport(away) | 1-3 | Persha Liga |
| Nov 13, 2016 | Skala Stryi(home) | 2-0 | Persha Liga |
| Nov 9, 2016 | Desna(away) | 1-3 | Persha Liga |
| Nov 5, 2016 | Kramatorsk(away) | 0-2 | Persha Liga |
| Oct 30, 2016 | Kolos Kovalivka(home) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Inhulets(away) | 1-1 | Persha Liga |
| Nov 14, 2016 | Hirnyk-Sport(home) | 3-1 | Persha Liga |
| Nov 9, 2016 | Skala Stryi(away) | 1-0 | Persha Liga |
| Nov 5, 2016 | Desna(away) | 1-3 | Persha Liga |
| Oct 30, 2016 | Kramatorsk(home) | 0-0 | Persha Liga |
What does the head-to-head say?
Across the last 4 meetings: 1 Mykolaiv win(s), 1 draw(s), 2 FC Mariupol win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2016 | FC Mariupol 2-0 Mykolaiv | Persha Liga |
| Apr 23, 2016 | FC Mariupol 0-0 Mykolaiv | Persha Liga |
| Sep 14, 2015 | Mykolaiv 4-0 FC Mariupol | Persha Liga |
| Aug 23, 2014 | Mykolaiv 0-1 FC Mariupol | Cup |
Last archived meeting: FC Mariupol vs Mykolaiv on Sep 8, 2016
How many goals should we expect?
Mykolaiv score 0.9 and concede 1.3 goals per match over their last 15; FC Mariupol score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.9 | 1.3 | 7 | 4/15 | 6/15 |
| FC Mariupol | 1.5 | 0.7 | 9 | 6/15 | 5/15 |
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