Mykolaiv vs Metalist 1925 Kharkiv: result 3-0 and analysis
Persha LigaRegular Season - 26Kick-off on May 1, 2019 at 11:00 AM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Metalist 1925 Kharkiv?
Mykolaiv won 3-0 on May 1, 2019.
Goalscorers
- 7′V. VoytsekhovskyiMykolaiv
- 39′Serhii KravchenkoMykolaiv
- 47′Andrii KovalevMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 4 wins, 4 draws and 7 defeats; Metalist 1925 Kharkiv have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2019 | Ruh Lviv(away) | 1-1 | Persha Liga |
| Apr 13, 2019 | Kramatorsk(away) | 3-2 | Persha Liga |
| Apr 7, 2019 | Kolos Kovalivka(home) | 0-3 | Persha Liga |
| Apr 2, 2019 | Balkany Zorya(away) | 1-2 | Persha Liga |
| Mar 27, 2019 | Prykarpattia(away) | 2-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2019 | Kolos Kovalivka(home) | 0-0 | Persha Liga |
| Apr 13, 2019 | Balkany Zorya(away) | 1-0 | Persha Liga |
| Mar 27, 2019 | Obolon'-Brovar(away) | 0-1 | Persha Liga |
| Mar 23, 2019 | Dnipro-1(home) | 1-2 | Persha Liga |
| Nov 17, 2018 | Sumy(away) | 3-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Mykolaiv win(s), 0 draw(s), 1 Metalist 1925 Kharkiv win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | Metalist 1925 Kharkiv 1-0 Mykolaiv | Persha Liga |
Last archived meeting: Metalist 1925 Kharkiv vs Mykolaiv on Sep 30, 2018
How many goals should we expect?
Mykolaiv score 1.0 and concede 1.5 goals per match over their last 15; Metalist 1925 Kharkiv score 1.2 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 1.0 | 1.5 | 2 | 9/15 | 8/15 |
| Metalist 1925 Kharkiv | 1.2 | 0.5 | 9 | 4/15 | 4/15 |
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