Jelgava vs Riga: result 2-1 and analysis
VirsligaRegular Season - 9Kick-off on May 28, 2016 at 12:00 PM (UTC)Zemgales Olimpiskā centra, Jelgava
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What was the result of Jelgava vs Riga?
Jelgava won 2-1 on May 28, 2016.
Goalscorers
- 12′R. SavaļnieksRiga (pen.)
- 70′Daniils TurkovsJelgava
- 86′Andrejs KovaļovsJelgava (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jelgava have 6 wins, 2 draws and 7 defeats; Riga have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Rīgas FS(away) | 0-1 | Virsliga |
| May 8, 2016 | Metta / LU(away) | 0-3 | Virsliga |
| Apr 30, 2016 | BFC Daugavpils(home) | 3-1 | Virsliga |
| Apr 22, 2016 | FK Ventspils(away) | 0-1 | Virsliga |
| Apr 16, 2016 | Spartaks Jurmala(away) | 0-3 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 17, 2016 | Rīgas FS(home) | 0-0 | Virsliga |
What does the head-to-head say?
In the last meeting: 0 Jelgava wins, 1 draw, 0 Riga wins.
| Date | Score | Competition |
|---|---|---|
| Mar 20, 2016 | Riga 1-1 Jelgava | Virsliga |
How many goals should we expect?
Jelgava score 1.1 and concede 1.1 goals per match over their last 15; Riga score 2.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jelgava | 1.1 | 1.1 | 4 | 4/15 | 6/15 |
| Riga | 2.5 | 0.8 | 7 | 6/15 | 6/15 |
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 | 32 | 23 | 7 | 2 | 88 | 30 | 76 |
A question about Jelgava 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