Hoverla vs FC Mariupol: result 1-1 and analysis
Premier LeagueRegular Season - 22Kick-off on March 30, 2013 at 11:30 AM (UTC)Stadion Avanhard, Uzhhorod
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What was the result of Hoverla vs FC Mariupol?
Hoverla and FC Mariupol drew 1-1 on March 30, 2013.
Goalscorers
- 14′Ruslan FominFC Mariupol
- 55′V. LysenkoHoverla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hoverla have 2 wins, 5 draws and 8 defeats; FC Mariupol have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2013 | Metalist(away) | 0-1 | Premier League |
| Mar 10, 2013 | Dnipro Dnipropetrovsk(home) | 0-1 | Premier League |
| Mar 3, 2013 | Zorya Luhansk(away) | 1-2 | Premier League |
| Nov 30, 2012 | Dynamo Kyiv(home) | 2-4 | Premier League |
| Nov 24, 2012 | Shakhtar Donetsk(away) | 1-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2013 | Arsenal Kyiv(home) | 2-1 | Premier League |
| Mar 8, 2013 | Metalurh Donetsk(away) | 0-0 | Premier League |
| Mar 2, 2013 | Metalurh Zaporizhya(home) | 1-0 | Premier League |
| Dec 2, 2012 | Tavriya(away) | 0-1 | Premier League |
| Nov 25, 2012 | Karpaty(home) | 2-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Hoverla win(s), 0 draw(s), 1 FC Mariupol win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2012 | FC Mariupol 2-0 Hoverla | Premier League |
Last archived meeting: FC Mariupol vs Hoverla on Aug 25, 2012
How many goals should we expect?
Hoverla score 0.9 and concede 1.8 goals per match over their last 15; FC Mariupol score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hoverla | 0.9 | 1.8 | 1 | 11/15 | 6/15 |
| FC Mariupol | 1.1 | 0.8 | 7 | 4/15 | 5/15 |
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