Riga vs FS Jelgava: result 2-1 and analysis
VirsligaRegular Season - 1Kick-off on March 12, 2023 at 03:00 PM (UTC)Mežaparks Sports Village, Riga
Full time
What was the result of Riga vs FS Jelgava?
Riga won 2-1 on March 12, 2023.
Goalscorers
- 52′H. BabecRiga
- 68′O. RubenisFS Jelgava
- 90′M. RegžaRiga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Riga have 5 wins, 4 draws and 6 defeats; FS Jelgava have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2023 | FC Levadia Tallinn(home) | 1-1 | Friendlies Clubs |
| Feb 23, 2023 | Kolos Kovalivka(home) | 0-2 | Friendlies Clubs |
| Feb 20, 2023 | Dynamo Kyiv(home) | 1-1 | Friendlies Clubs |
| Feb 20, 2023 | Shirak(away) | 1-2 | Friendlies Clubs |
| Feb 20, 2023 | Shirak(home) | 1-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | JDFS Alberts(home) | 1-0 | Friendlies Clubs |
| Feb 24, 2023 | Panevėžys(away) | 0-1 | Friendlies Clubs |
| Feb 18, 2023 | Kuressaare(away) | 1-3 | Friendlies Clubs |
| Feb 12, 2023 | Banga(home) | 1-2 | Friendlies Clubs |
| Feb 4, 2023 | Rīgas FS(home) | 0-6 | Friendlies Clubs |
How many goals should we expect?
Riga score 1.4 and concede 1.5 goals per match over their last 15; FS Jelgava score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Riga | 1.4 | 1.5 | 3 | 9/15 | 7/15 |
| FS Jelgava | 1.9 | 1.0 | 9 | 4/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Riga sit 2nd in Virsliga (65 points from 26 matches) and FS Jelgava sit 7th (28 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Riga | 26 | 20 | 5 | 1 | 79 | 24 | 65 |
| 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