FK Liepaja vs Super Nova: result 3-1 and analysis
VirsligaRegular Season - 1Kick-off on March 11, 2022 at 04:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of FK Liepaja vs Super Nova?
FK Liepaja won 3-1 on March 11, 2022.
Goalscorers
- 12′M. MartaFK Liepaja
- 13′R. RullisSuper Nova
- 72′J. MiņinsFK Liepaja (o.g.)
- 86′A. KarašausksFK Liepaja
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Liepaja have 9 wins, 2 draws and 4 defeats; Super Nova have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Spartaks Jurmala(away) | 1-0 | Virsliga |
| Oct 31, 2021 | BFC Daugavpils(home) | 3-1 | Virsliga |
| Oct 27, 2021 | Noah Jūrmala(home) | 3-0 | Virsliga |
| Oct 24, 2021 | Rīgas FS(away) | 0-1 | Cup |
| Oct 23, 2021 | Noah Jūrmala(home) | 3-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2021 | Saldus SS/Leevon(home) | 2-0 | 1. Liga |
| Oct 6, 2021 | Dinamo Rīga(away) | 3-1 | 1. Liga |
| Oct 3, 2021 | Albatroz(home) | 0-0 | 1. Liga |
| Sep 19, 2021 | Rēzekne FA(home) | 0-3 | 1. Liga |
| Sep 12, 2021 | Tukums(home) | 2-2 | 1. Liga |
How many goals should we expect?
FK Liepaja score 1.6 and concede 0.6 goals per match over their last 15; Super Nova score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Liepaja | 1.6 | 0.6 | 8 | 5/15 | 7/15 |
| Super Nova | 2.2 | 1.8 | 4 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FK Liepaja sit 5th in Virsliga (37 points from 26 matches) and Super Nova sit 6th (28 points from 25 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | FK Liepaja | 26 | 11 | 4 | 11 | 36 | 38 | 37 |
| 6 | Super Nova | 25 | 8 | 4 | 13 | 26 | 37 | 28 |
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