FK Liepaja vs Riga: result 3-0 and analysis
VirsligaRegular Season - 6Kick-off on April 30, 2016 at 04:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of FK Liepaja vs Riga?
FK Liepaja won 3-0 on April 30, 2016.
Goalscorers
- 1′D. IkaunieksFK Liepaja
- 14′Edgars GauračsFK Liepaja
- 62′Edgars GauračsFK Liepaja
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Liepaja have 10 wins, 2 draws and 3 defeats; Riga have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2016 | Rīgas FS(away) | 0-1 | Virsliga |
| Apr 17, 2016 | Metta / LU(away) | 2-0 | Virsliga |
| Apr 4, 2016 | Jelgava(away) | 1-0 | Virsliga |
| Mar 20, 2016 | FK Ventspils(away) | 2-2 | Virsliga |
| Mar 11, 2016 | Spartaks Jurmala(home) | 1-2 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2016 | BFC Daugavpils(away) | 2-0 | Virsliga |
| Apr 17, 2016 | Rīgas FS(home) | 0-0 | Virsliga |
| Apr 2, 2016 | Metta / LU(away) | 0-1 | Virsliga |
| Mar 20, 2016 | Jelgava(home) | 1-1 | Virsliga |
| Mar 12, 2016 | FK Ventspils(away) | 1-1 | Virsliga |
How many goals should we expect?
FK Liepaja score 1.8 and concede 0.8 goals per match over their last 15; Riga score 3.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Liepaja | 1.8 | 0.8 | 8 | 6/15 | 7/15 |
| Riga | 3.5 | 0.7 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FK Liepaja sit 4th in Virsliga (43 points from 32 matches) and Riga sit 2nd (76 points from 32 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Riga | 32 | 23 | 7 | 2 | 88 | 30 | 76 |
| 4 | FK Liepaja | 32 | 12 | 7 | 13 | 43 | 46 | 43 |
A question about FK Liepaja vs Riga?
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