Sevastopol vs Hoverla: result 3-0 and analysis
Premier LeagueRegular Season - 30Kick-off on May 17, 2014 at 11:00 AM (UTC)SK Sevastopol', Sevastopol'
Full time
What was the result of Sevastopol vs Hoverla?
Sevastopol won 3-0 on May 17, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevastopol have 6 wins, 1 draw and 8 defeats; Hoverla have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2014 | Volyn(away) | 2-1 | Premier League |
| May 7, 2014 | Metalist(home) | 0-2 | Premier League |
| May 2, 2014 | Zorya Luhansk(home) | 0-2 | Premier League |
| Apr 27, 2014 | FC Mariupol(away) | 0-0 | Premier League |
| Apr 23, 2014 | Metalurh Zaporizhya(home) | 5-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2014 | Chornomorets(home) | 1-1 | Premier League |
| May 4, 2014 | Volyn(home) | 6-0 | Premier League |
| Apr 27, 2014 | Zorya Luhansk(away) | 0-1 | Premier League |
| Apr 24, 2014 | Dnipro Dnipropetrovsk(home) | 0-2 | Premier League |
| Apr 19, 2014 | FC Mariupol(home) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 2 Sevastopol wins, 0 draws, 1 Hoverla win.
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2013 | Hoverla 1-2 Sevastopol | Premier League |
| Nov 5, 2011 | Sevastopol 2-1 Hoverla | Persha Liga |
| Jul 23, 2011 | Hoverla 1-0 Sevastopol | Persha Liga |
How many goals should we expect?
Sevastopol score 1.0 and concede 1.5 goals per match over their last 15; Hoverla score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevastopol | 1.0 | 1.5 | 4 | 4/15 | 8/15 |
| Hoverla | 1.1 | 1.3 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Sevastopol vs Hoverla?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy