FC Jūrmala vs Liepājas Metalurgs: result 0-2 and analysis
VirsligaRegular Season - 11Kick-off on May 17, 2012 at 03:00 PM (UTC)Slokas Stadiona
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What was the result of FC Jūrmala vs Liepājas Metalurgs?
Liepājas Metalurgs won 0-2 on May 17, 2012.
Goalscorers
- 24′Vladimirs KamešsLiepājas Metalurgs
- 40′Vladimirs KamešsLiepājas Metalurgs
What is the recent form of both teams?
Over their last 9 matches in all competitions, FC Jūrmala have 3 wins, 4 draws and 2 defeats; Liepājas Metalurgs have 4, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | Spartaks Jurmala(away) | 0-0 | Virsliga |
| May 2, 2012 | FK Ventspils(home) | 1-2 | Virsliga |
| Apr 28, 2012 | Daugavpils / Progress(home) | 6-1 | Virsliga |
| Apr 22, 2012 | Jelgava(away) | 2-0 | Virsliga |
| Apr 18, 2012 | Metta / LU(away) | 2-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2012 | Metta / LU(away) | 1-4 | Virsliga |
| May 2, 2012 | Daugava Rīga(away) | 3-1 | Virsliga |
| Apr 28, 2012 | Gulbene 2005(home) | 0-1 | Virsliga |
| Apr 22, 2012 | Daugavpils / Progress(away) | 0-0 | Virsliga |
| Apr 18, 2012 | Skonto(away) | 1-0 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 0 FC Jūrmala win(s), 0 draw(s), 1 Liepājas Metalurgs win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2012 | Liepājas Metalurgs 2-0 FC Jūrmala | Virsliga |
Last archived meeting: Liepājas Metalurgs vs FC Jūrmala on Mar 31, 2012
How many goals should we expect?
FC Jūrmala score 1.9 and concede 1.2 goals per match over their last 9; Liepājas Metalurgs score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Jūrmala | 1.9 | 1.2 | 3 | 5/9 | 4/9 |
| Liepājas Metalurgs | 1.3 | 1.0 | 4 | 3/8 | 3/8 |
Over the last 9 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