Mykolaiv vs Hirnyk-Sport: result 0-1 and analysis
Persha LigaRegular Season - 3Kick-off on August 5, 2016 at 03:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs Hirnyk-Sport?
Hirnyk-Sport won 0-1 on August 5, 2016.
Goalscorers
- 90′M. MarusychHirnyk-Sport
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 5 wins, 5 draws and 5 defeats; Hirnyk-Sport have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | Skala Stryi(away) | 0-0 | Persha Liga |
| Jul 24, 2016 | Desna(home) | 0-2 | Persha Liga |
| Jun 1, 2016 | Desna(home) | 3-1 | Persha Liga |
| May 27, 2016 | Ternopil'(away) | 1-0 | Persha Liga |
| May 20, 2016 | Sumy(home) | 3-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 30, 2016 | FC Mariupol(home) | 1-3 | Persha Liga |
| Jul 24, 2016 | Obolon'-Brovar(away) | 1-2 | Persha Liga |
| Jun 1, 2016 | Kobra(away) | 0-2 | Persha Liga |
| May 27, 2016 | Poltava(home) | 3-4 | Persha Liga |
| May 21, 2016 | Dynamo Kyiv II(away) | 1-1 | Persha Liga |
What does the head-to-head say?
Across the last 4 meetings: 1 Mykolaiv win(s), 0 draw(s), 3 Hirnyk-Sport win(s).
| Date | Score | Competition |
|---|---|---|
| May 11, 2016 | Mykolaiv 2-0 Hirnyk-Sport | Persha Liga |
| Oct 3, 2015 | Hirnyk-Sport 3-1 Mykolaiv | Persha Liga |
| May 30, 2015 | Hirnyk-Sport 2-1 Mykolaiv | Persha Liga |
| Oct 27, 2014 | Mykolaiv 0-5 Hirnyk-Sport | Persha Liga |
Last archived meeting: Mykolaiv vs Hirnyk-Sport on May 11, 2016
How many goals should we expect?
Mykolaiv score 0.7 and concede 0.8 goals per match over their last 15; Hirnyk-Sport score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.7 | 0.8 | 8 | 2/15 | 3/15 |
| Hirnyk-Sport | 1.0 | 1.7 | 3 | 8/15 | 7/15 |
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