Spartaks Jurmala vs Valmiera / BSS: result 3-0 and analysis
VirsligaRegular Season - 10Kick-off on May 26, 2018 at 01:00 PM (UTC)Slokas Stadiona
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What was the result of Spartaks Jurmala vs Valmiera / BSS?
Spartaks Jurmala won 3-0 on May 26, 2018.
Goalscorers
- 16′A. MaleevSpartaks Jurmala
- 35′Evgeni KobzarSpartaks Jurmala
- 60′Aleksejs VišņakovsSpartaks Jurmala
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartaks Jurmala have 9 wins, 1 draws and 5 defeats; Valmiera / BSS have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | Metta / LU(away) | 3-1 | Virsliga |
| May 16, 2018 | Jelgava(home) | 1-0 | Virsliga |
| May 12, 2018 | Riga(home) | 0-1 | Virsliga |
| May 4, 2018 | FK Liepaja(home) | 2-2 | Virsliga |
| Apr 28, 2018 | Rīgas FS(away) | 2-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | FK Liepaja(home) | 0-2 | Virsliga |
| May 16, 2018 | FK Ventspils(home) | 1-3 | Virsliga |
| May 11, 2018 | Jelgava(away) | 1-5 | Virsliga |
| May 4, 2018 | Riga(away) | 1-6 | Virsliga |
| Apr 28, 2018 | Metta / LU(away) | 2-2 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 1 Spartaks Jurmala win(s), 0 draw(s), 0 Valmiera / BSS win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2018 | Valmiera / BSS 2-4 Spartaks Jurmala | Virsliga |
Last archived meeting: Valmiera / BSS vs Spartaks Jurmala on Apr 14, 2018
How many goals should we expect?
Spartaks Jurmala score 1.7 and concede 1.1 goals per match over their last 15; Valmiera / BSS score 2.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartaks Jurmala | 1.7 | 1.1 | 5 | 7/15 | 8/15 |
| Valmiera / BSS | 2.0 | 2.7 | 3 | 9/15 | 12/15 |
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