Riga vs Metta / LU: result 2-1 and analysis
VirsligaRegular Season - 10Kick-off on June 11, 2016 at 11:00 AM (UTC)Stadions Skonto, Riga
Full time
What was the result of Riga vs Metta / LU?
Riga won 2-1 on June 11, 2016.
Goalscorers
- 43′S. VorobjovsMetta / LU
- 51′Yosuke SaitoMetta / LU
- 81′Abraham Anane AshrifieMetta / LU
What is the recent form of both teams?
Over their last 15 matches in all competitions, Riga have 7 wins, 5 draws and 3 defeats; Metta / LU have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Jelgava(away) | 1-2 | Virsliga |
| May 13, 2016 | FK Ventspils(home) | 1-1 | Virsliga |
| May 8, 2016 | Spartaks Jurmala(home) | 0-0 | Virsliga |
| Apr 30, 2016 | FK Liepaja(away) | 0-3 | Virsliga |
| Apr 23, 2016 | BFC Daugavpils(away) | 2-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Rīgas FS(home) | 1-1 | Virsliga |
| May 15, 2016 | BFC Daugavpils(away) | 1-0 | Virsliga |
| May 8, 2016 | Jelgava(home) | 3-0 | Virsliga |
| Apr 30, 2016 | FK Ventspils(away) | 0-2 | Virsliga |
| Apr 23, 2016 | Spartaks Jurmala(home) | 0-1 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 0 Riga win(s), 0 draw(s), 1 Metta / LU win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2016 | Metta / LU 1-0 Riga | Virsliga |
How many goals should we expect?
Riga score 2.5 and concede 0.9 goals per match over their last 15; Metta / LU score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Riga | 2.5 | 0.9 | 6 | 7/15 | 7/15 |
| Metta / LU | 1.0 | 1.7 | 4 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Riga | 26 | 20 | 5 | 1 | 79 | 24 | 65 |
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