Sevastopol vs Metalist: result 0-2 and analysis
Premier LeagueRegular Season - 22Kick-off on May 7, 2014 at 02:00 PM (UTC)Stadion Yuvilejnyj, Sumy
Full time
What was the result of Sevastopol vs Metalist?
Metalist won 0-2 on May 7, 2014.
Goalscorers
- 9′Cleiton Ribeiro XavierMetalist
- 35′S. BlancoMetalist
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevastopol have 5 wins, 1 draws and 9 defeats; Metalist have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 17, 2014 | Tavriya(away) | 2-0 | Premier League |
| Apr 11, 2014 | Metalurh Donetsk(away) | 0-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2014 | Chornomorets(away) | 1-1 | Premier League |
| Apr 27, 2014 | Dnipro Dnipropetrovsk(home) | 2-1 | Premier League |
| Apr 24, 2014 | Volyn(away) | 4-1 | Premier League |
| Apr 20, 2014 | Metalurh Zaporizhya(away) | 3-0 | Premier League |
| Apr 17, 2014 | Zorya Luhansk(home) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sevastopol win(s), 0 draw(s), 1 Metalist win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2013 | Metalist 3-1 Sevastopol | Premier League |
Last archived meeting: Metalist vs Sevastopol on Aug 24, 2013
How many goals should we expect?
Sevastopol score 0.9 and concede 1.6 goals per match over their last 15; Metalist score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevastopol | 0.9 | 1.6 | 4 | 3/15 | 8/15 |
| Metalist | 1.7 | 1.5 | 3 | 11/15 | 8/15 |
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