Riga vs FK Ventspils: result 1-1 and analysis
VirsligaRegular Season - 8Kick-off on May 13, 2016 at 03:00 PM (UTC)Stadions Skonto, Riga
Full time
What was the result of Riga vs FK Ventspils?
Riga and FK Ventspils drew 1-1 on May 13, 2016.
Goalscorers
- 3′G. KarlsonsFK Ventspils
- 33′R. SavaļnieksFK Ventspils
What is the recent form of both teams?
Over their last 15 matches in all competitions, Riga have 9 wins, 4 draws and 2 defeats; FK Ventspils have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 17, 2016 | Rīgas FS(home) | 0-0 | Virsliga |
| Apr 2, 2016 | Metta / LU(away) | 0-1 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2016 | Rīgas FS(away) | 2-1 | Virsliga |
| Apr 30, 2016 | Metta / LU(home) | 2-0 | Virsliga |
| Apr 22, 2016 | Jelgava(home) | 1-0 | Virsliga |
| Apr 16, 2016 | BFC Daugavpils(away) | 5-0 | Virsliga |
| Apr 2, 2016 | Spartaks Jurmala(home) | 2-1 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 0 Riga win(s), 1 draw(s), 0 FK Ventspils win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2016 | FK Ventspils 1-1 Riga | Virsliga |
How many goals should we expect?
Riga score 2.8 and concede 0.7 goals per match over their last 15; FK Ventspils score 2.2 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Riga | 2.8 | 0.7 | 8 | 5/15 | 7/15 |
| FK Ventspils | 2.2 | 0.8 | 7 | 8/15 | 10/15 |
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