FC Mariupol vs Kolos Kovalivka: result 3-1 and analysis
Persha LigaRegular Season - 32Kick-off on May 21, 2017 at 11:00 AM (UTC)Stadion im. Volodymyra Boyka, Mariupol'
Full time
What was the result of FC Mariupol vs Kolos Kovalivka?
FC Mariupol won 3-1 on May 21, 2017.
Goalscorers
- 6′O. BondarenkoKolos Kovalivka
- 25′101485FC Mariupol (o.g.)
- 34′D. KozhanovFC Mariupol
- 57′D. KozhanovFC Mariupol
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Mariupol have 11 wins, 4 draws and 0 defeats; Kolos Kovalivka 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 |
|---|---|---|---|
| May 17, 2017 | Ternopil'(away) | 1-0 | Persha Liga |
| May 13, 2017 | Veres Rivne(home) | 1-1 | Persha Liga |
| May 8, 2017 | Bukovyna(away) | 2-0 | Persha Liga |
| May 3, 2017 | Kobra(home) | 2-0 | Persha Liga |
| Apr 28, 2017 | Cherkaskyi Dnipro(away) | 2-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Obolon'-Brovar(home) | 2-0 | Persha Liga |
| May 12, 2017 | Poltava(away) | 2-0 | Persha Liga |
| May 8, 2017 | Arsenal Kyiv(home) | 1-1 | Persha Liga |
| May 4, 2017 | Inhulets(away) | 0-0 | Persha Liga |
| Apr 29, 2017 | Hirnyk-Sport(home) | 1-3 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 FC Mariupol win(s), 0 draw(s), 0 Kolos Kovalivka win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2016 | Kolos Kovalivka 0-1 FC Mariupol | Persha Liga |
Last archived meeting: Kolos Kovalivka vs FC Mariupol on Oct 21, 2016
How many goals should we expect?
FC Mariupol score 1.5 and concede 0.3 goals per match over their last 15; Kolos Kovalivka score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Mariupol | 1.5 | 0.3 | 10 | 5/15 | 4/15 |
| Kolos Kovalivka | 1.5 | 0.8 | 7 | 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