FK Liepaja vs FS Jelgava: result 3-2 and analysis
VirsligaRegular Season - 5Kick-off on April 9, 2023 at 01:00 PM (UTC)Stadions Daugava mākslīgas laukums, Liepāja
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What was the result of FK Liepaja vs FS Jelgava?
FK Liepaja won 3-2 on April 9, 2023.
Goalscorers
- 7′Mārcis PeilānsFS Jelgava
- 17′A. GlaudānsFS Jelgava
- 41′I. IbrahimFK Liepaja
- 72′I. IbrahimFK Liepaja
- 83′D. MartinFK Liepaja
What is the recent form of both teams?
Over their last 15 matches in all competitions, FK Liepaja have 8 wins, 1 draws and 6 defeats; FS Jelgava have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2023 | Rīgas FS(away) | 0-2 | Virsliga |
| Apr 1, 2023 | Riga(home) | 0-3 | Virsliga |
| Mar 25, 2023 | Kauno Žalgiris(away) | 2-2 | Friendlies Clubs |
| Mar 18, 2023 | Valmiera / BSS(away) | 1-0 | Virsliga |
| Feb 25, 2023 | Banga(home) | 4-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2023 | Super Nova(home) | 2-0 | Virsliga |
| Apr 1, 2023 | Rīgas FS(home) | 0-2 | Virsliga |
| Mar 24, 2023 | FK Trakai(away) | 0-3 | Friendlies Clubs |
| Mar 17, 2023 | BFC Daugavpils(home) | 2-1 | Virsliga |
| Mar 12, 2023 | Riga(away) | 1-2 | Virsliga |
How many goals should we expect?
FK Liepaja score 2.0 and concede 1.2 goals per match over their last 15; FS Jelgava score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Liepaja | 2.0 | 1.2 | 6 | 4/15 | 9/15 |
| FS Jelgava | 1.3 | 1.5 | 5 | 6/15 | 8/15 |
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 FS Jelgava sit 7th (28 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | FK Liepaja | 26 | 11 | 4 | 11 | 36 | 38 | 37 |
| 7 | FS Jelgava | 27 | 7 | 7 | 13 | 28 | 46 | 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