Bukovyna vs FC Mariupol: result 0-2 and analysis
Persha LigaRegular Season - 29Kick-off on May 8, 2017 at 02:00 PM (UTC)Stadion Bukovyna, Chernivtsi
Full time
What was the result of Bukovyna vs FC Mariupol?
FC Mariupol won 0-2 on May 8, 2017.
Goalscorers
- 21′Ruslan FominFC Mariupol
- 90′Ruslan KisilFC Mariupol (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bukovyna have 4 wins, 4 draws and 7 defeats; FC Mariupol have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2017 | Obolon'-Brovar(away) | 0-1 | Persha Liga |
| Apr 29, 2017 | Poltava(home) | 0-2 | Persha Liga |
| Apr 22, 2017 | Arsenal Kyiv(away) | 1-0 | Persha Liga |
| Apr 18, 2017 | Ternopil'(home) | 4-0 | Persha Liga |
| Apr 14, 2017 | Inhulets(home) | 0-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2017 | Kobra(home) | 2-0 | Persha Liga |
| Apr 28, 2017 | Cherkaskyi Dnipro(away) | 2-1 | Persha Liga |
| Apr 22, 2017 | Naftovyk-Ukrnafta(home) | 1-0 | Persha Liga |
| Apr 15, 2017 | Mykolaiv(away) | 2-1 | Persha Liga |
| Apr 8, 2017 | Sumy(away) | 2-0 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Bukovyna win(s), 0 draw(s), 1 FC Mariupol win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | FC Mariupol 1-0 Bukovyna | Persha Liga |
Last archived meeting: FC Mariupol vs Bukovyna on Oct 1, 2016
How many goals should we expect?
Bukovyna score 0.7 and concede 1.1 goals per match over their last 15; FC Mariupol score 1.5 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bukovyna | 0.7 | 1.1 | 8 | 2/15 | 4/15 |
| FC Mariupol | 1.5 | 0.6 | 9 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Bukovyna | 30 | 26 | 3 | 1 | 74 | 21 | 81 |
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