Daugava Rīga vs Metta / LU: result 1-0 and analysis
VirsligaRegular Season - 2Kick-off on March 31, 2012 at 12:00 PM (UTC)Rīgas 49. vidusskolas sporta komplekss, Riga
Full time
What was the result of Daugava Rīga vs Metta / LU?
Daugava Rīga won 1-0 on March 31, 2012.
Goalscorers
- 3′Edgars KārkliņšDaugava Rīga
Official lineup for Daugava Rīga vs Metta / LU
The starting elevens fielded at kick-off.
Daugava Rīga
- VVitālijs Ziļs
- AAleksey Alekseev
- VVadims Gospodars
- EEdgars Kārkliņš
- BB. Petruks
- TToms Mezs
- DDmitrijs Šiļuks
- RR. Broders
- DDeniss Sokoļskis
- KKirill Korban
- AArturs Vaiculis
Metta / LU
- GGatis Kalniņš
- AArtūrs Pallo
- AArtjoms Loginovs
- AArtems Zotovs
- EE. Vardanjans
- MM. Vapne
- MMāris Savinovs
- MMārcis Savinovs
- RR. Rožkovskis
- JJuris Skābardis
- AArturs Biezais
What is the recent form of both teams?
In their last match in all competitions, Daugava Rīga have 0 wins, 0 draws and 1 defeat; Metta / LU have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2012 | Daugavpils / Progress(home) | 0-4 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2012 | Gulbene 2005(home) | 0-0 | Virsliga |
How many goals should we expect?
Daugava Rīga score 0.0 and concede 4.0 goals per match in their last match; Metta / LU score 0.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Daugava Rīga | 0.0 | 4.0 | 0 | 0/1 | 1/1 |
| Metta / LU | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Metta / LU | 36 | 8 | 7 | 21 | 39 | 74 | 31 |
A question about Daugava Rīga vs Metta / LU?
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