Metta / LU vs Noah Jūrmala: prediction and stats
VirsligaRegular Season - 14Kick-off on May 24, 2021 at 04:00 PM (UTC)Daugavas Stadionā, Riga
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metta / LU have 2 wins, 3 draws and 10 defeats; Noah Jūrmala have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2021 | Noah Jūrmala(away) | 3-0 | Virsliga |
| May 19, 2021 | BFC Daugavpils(home) | 0-1 | Virsliga |
| May 9, 2021 | Spartaks Jurmala(home) | 2-0 | Virsliga |
| May 5, 2021 | FK Liepaja(home) | 0-3 | Virsliga |
| May 1, 2021 | FK Ventspils(away) | 2-5 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2021 | Metta / LU(home) | 0-3 | Virsliga |
| May 20, 2021 | Riga(home) | 0-7 | Virsliga |
| May 17, 2021 | FK Ventspils(away) | 2-2 | Virsliga |
| May 14, 2021 | BFC Daugavpils(away) | 2-1 | Virsliga |
| May 9, 2021 | Valmiera / BSS(away) | 0-2 | Virsliga |
What does the head-to-head say?
In the last meeting: 1 Metta / LU win, 0 draws, 0 Noah Jūrmala wins.
| Date | Score | Competition |
|---|---|---|
| May 24, 2021 | Noah Jūrmala 0-3 Metta / LU | Virsliga |
Last archived meeting: Noah Jūrmala vs Metta / LU on May 24, 2021
How many goals should we expect?
Metta / LU score 1.1 and concede 2.2 goals per match over their last 15; Noah Jūrmala score 1.0 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metta / LU | 1.1 | 2.2 | 2 | 8/15 | 9/15 |
| Noah Jūrmala | 1.0 | 3.3 | 0 | 4/8 | 7/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Metta / LU | 36 | 8 | 7 | 21 | 39 | 74 | 31 |
A question about Metta / LU vs Noah Jūrmala?
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