Daugava Rīga vs FC Jūrmala: result 1-1 and analysis
VirsligaMatchday 4Kick-off on April 14, 2012 at 11:00 AM (UTC)Daugavas Stadionā, Riga
Full time
What was the result of Daugava Rīga vs FC Jūrmala?
Daugava Rīga and FC Jūrmala drew 1-1 on April 14, 2012.
Goalscorers
- 29′Aleksey AlekseevDaugava Rīga
- 42′Igors AleksejevsFC Jūrmala
Official lineup for Daugava Rīga vs FC Jūrmala
The starting elevens fielded at kick-off.
Daugava Rīga
- AAleksey Alekseev
- VVadims Gospodars
- EEdgars Kārkliņš
- GGiorgi Diakvnishvili
- VV. Melnyk
- BB. Petruks
- TToms Mezs
- DDmitrijs Šiļuks
- DDeniss Sokoļskis
- KKirill Korban
- AArturs Vaiculis
FC Jūrmala
- AArtjoms Osipovs
- SSergejs Golubevs
- VVadims Žuļevs
- DDmitrijs Halvitovs
- II. Sputajs
- DD. Ola
- SStaņislavs Pihockis
- IIgors Aleksejevs
- IIngus Šlampe
- EE. Joksts
- PPavels Davidovs
What is the recent form of both teams?
Over their last 3 matches in all competitions, Daugava Rīga have 2 wins, 0 draws and 1 defeat; FC Jūrmala have 0, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2012 | Jelgava(away) | 4-3 | Virsliga |
| Mar 31, 2012 | Metta / LU(home) | 1-0 | Virsliga |
| Mar 24, 2012 | Daugavpils / Progress(home) | 0-4 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2012 | Gulbene 2005(home) | 2-2 | Virsliga |
| Mar 31, 2012 | Liepājas Metalurgs(away) | 0-2 | Virsliga |
| Mar 25, 2012 | Skonto(home) | 3-3 | Virsliga |
How many goals should we expect?
Daugava Rīga score 1.7 and concede 2.3 goals per match over their last 3; FC Jūrmala score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daugava Rīga | 1.7 | 2.3 | 1 | 1/3 | 2/3 |
| FC Jūrmala | 1.7 | 2.3 | 0 | 2/3 | 2/3 |
Over the last 3 matches in all competitions.
A question about Daugava Rīga vs FC Jūrmala?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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