Mykolaiv vs Hirnyk-Sport: result 2-0 and analysis
Persha LigaRegular Season - 26Kick-off on May 11, 2016 at 02:30 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs Hirnyk-Sport?
Mykolaiv won 2-0 on May 11, 2016.
Goalscorers
- 3′Ihor SikorskyiMykolaiv
- 8′Andrii KovalevMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 4 wins, 5 draws and 6 defeats; Hirnyk-Sport have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2016 | Obolon'-Brovar(away) | 0-0 | Persha Liga |
| Apr 29, 2016 | Kryvbas KR(home) | 0-3 | Persha Liga |
| Apr 23, 2016 | FC Mariupol(away) | 0-0 | Persha Liga |
| Apr 16, 2016 | Zirka(home) | 0-2 | Persha Liga |
| Apr 8, 2016 | Nyva Ternopil(away) | 0-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2016 | Desna(home) | 0-0 | Persha Liga |
| Apr 29, 2016 | Ternopil'(away) | 1-1 | Persha Liga |
| Apr 23, 2016 | Sumy(home) | 3-0 | Persha Liga |
| Apr 16, 2016 | Cherkaskyi Dnipro(away) | 0-3 | Persha Liga |
| Apr 9, 2016 | Kramatorsk(home) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Mykolaiv win(s), 0 draw(s), 3 Hirnyk-Sport win(s).
| Date | Score | Competition |
|---|---|---|
| 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: Hirnyk-Sport vs Mykolaiv on Oct 3, 2015
How many goals should we expect?
Mykolaiv score 0.5 and concede 1.0 goals per match over their last 15; Hirnyk-Sport score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.5 | 1.0 | 9 | 1/15 | 4/15 |
| Hirnyk-Sport | 1.0 | 1.1 | 5 | 7/15 | 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