Noah Jūrmala vs Riga: prediction and stats
VirsligaRegular Season - 25Kick-off on August 8, 2021 at 01:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Noah Jūrmala have 1 win, 1 draw and 13 defeats; Riga have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 18, 2021 | Valmiera / BSS(away) | 0-3 | Virsliga |
| Jul 13, 2021 | Metta / LU(away) | 0-7 | Virsliga |
| Jul 9, 2021 | BFC Daugavpils(home) | 1-4 | Virsliga |
| Jun 25, 2021 | Riga(away) | 1-2 | Virsliga |
| Jun 21, 2021 | Rīgas FS(away) | 0-5 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2021 | Hibernians(home) | 0-1 | UEFA Europa Conference League |
| Jul 29, 2021 | Shkendija(away) | 1-0 | UEFA Europa Conference League |
| Jul 25, 2021 | Metta / LU(away) | 1-0 | Virsliga |
| Jul 22, 2021 | Shkendija(home) | 2-0 | UEFA Europa Conference League |
| Jul 17, 2021 | Spartaks Jurmala(away) | 3-2 | Virsliga |
What does the head-to-head say?
Across the last 3 meetings: 0 Noah Jūrmala wins, 0 draws, 3 Riga wins.
| Date | Score | Competition |
|---|---|---|
| Jun 25, 2021 | Riga 2-1 Noah Jūrmala | Virsliga |
| Jun 13, 2021 | Riga 1-0 Noah Jūrmala | Virsliga |
| May 20, 2021 | Noah Jūrmala 0-7 Riga | Virsliga |
How many goals should we expect?
Noah Jūrmala score 0.7 and concede 3.7 goals per match over their last 15; Riga score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noah Jūrmala | 0.7 | 3.7 | 0 | 6/15 | 13/15 |
| Riga | 1.6 | 0.7 | 7 | 5/15 | 5/15 |
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 Noah Jūrmala 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