Noah Jūrmala vs BFC Daugavpils: prediction and stats
VirsligaRegular Season - 21Kick-off on July 5, 2021 at 03:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 13 matches in all competitions, Noah Jūrmala have 1 win, 2 draws and 10 defeats; BFC Daugavpils have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2021 | Riga(away) | 1-2 | Virsliga |
| Jun 21, 2021 | Rīgas FS(away) | 0-5 | Virsliga |
| Jun 17, 2021 | Spartaks Jurmala(away) | 2-5 | Virsliga |
| Jun 13, 2021 | Riga(away) | 0-1 | Virsliga |
| May 29, 2021 | FK Liepaja(home) | 0-5 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2021 | Valmiera / BSS(away) | 0-4 | Virsliga |
| Jun 25, 2021 | Spartaks Jurmala(away) | 0-2 | Virsliga |
| Jun 21, 2021 | FK Liepaja(away) | 0-0 | Virsliga |
| Jun 17, 2021 | FK Ventspils(home) | 3-2 | Virsliga |
| Jun 13, 2021 | Valmiera / BSS(home) | 1-2 | Virsliga |
What does the head-to-head say?
In the last meeting: 1 Noah Jūrmala win, 0 draws, 0 BFC Daugavpils wins.
| Date | Score | Competition |
|---|---|---|
| May 14, 2021 | BFC Daugavpils 1-2 Noah Jūrmala | Virsliga |
Last archived meeting: BFC Daugavpils vs Noah Jūrmala on May 14, 2021
How many goals should we expect?
Noah Jūrmala score 0.8 and concede 3.4 goals per match over their last 13; BFC Daugavpils score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noah Jūrmala | 0.8 | 3.4 | 0 | 6/13 | 11/13 |
| BFC Daugavpils | 1.1 | 1.5 | 4 | 7/15 | 9/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | BFC Daugavpils | 32 | 11 | 9 | 12 | 37 | 36 | 42 |
A question about Noah Jūrmala vs BFC Daugavpils?
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