FC Jūrmala vs Gulbene 2005: result 2-2 and analysis
VirsligaRegular Season - 3Kick-off on April 7, 2012 at 01:00 PM (UTC)Slokas Stadiona
Full time
What was the result of FC Jūrmala vs Gulbene 2005?
FC Jūrmala and Gulbene 2005 drew 2-2 on April 7, 2012.
Goalscorers
- 20′Vadims ŽuļevsFC Jūrmala
- 31′D. OlaFC Jūrmala
- 39′Yosuke SaitoGulbene 2005 (pen.)
- 59′Yosuke SaitoGulbene 2005
Official lineup for FC Jūrmala vs Gulbene 2005
The starting elevens fielded at kick-off.
FC Jūrmala
- AArtjoms Osipovs
- SSergejs Golubevs
- VVadims Žuļevs
- DDmitrijs Halvitovs
- II. Sputajs
- DD. Ola
- SStaņislavs Pihockis
- IIgors Aleksejevs
- IIngus Šlampe
- EE. Joksts
- PPavels Davidovs
Gulbene 2005
- YYosuke Saito
- NNils Sitenkovs
- SSergejs Mišins
- AArevsats Hacatrjans
- AA. Maksimenko
- RR. Ishikawa
- KKi-Yoo Seung
- KKirils Jeļkins
- AAleksandrs Ivanovs
- SS. Tsuchiya
- AAlberts Nikoļskis
What is the recent form of both teams?
Over their last 2 matches in all competitions, FC Jūrmala have 0 wins, 1 draw and 1 defeat; Gulbene 2005 have 0, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2012 | Liepājas Metalurgs(away) | 0-2 | Virsliga |
| Mar 25, 2012 | Skonto(home) | 3-3 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2012 | Jelgava(home) | 1-2 | Virsliga |
| Mar 25, 2012 | Metta / LU(away) | 0-0 | Virsliga |
How many goals should we expect?
FC Jūrmala score 1.5 and concede 2.5 goals per match over their last 2; Gulbene 2005 score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Jūrmala | 1.5 | 2.5 | 0 | 1/2 | 1/2 |
| Gulbene 2005 | 0.5 | 1.0 | 1 | 1/2 | 1/2 |
Over the last 2 matches in all competitions.
A question about FC Jūrmala vs Gulbene 2005?
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