FS Jelgava vs Tukums: result 2-2 and analysis
VirsligaRegular Season - 9Kick-off on April 29, 2023 at 01:00 PM (UTC)Zemgales Olimpiskā centra, Jelgava
Full time
What was the result of FS Jelgava vs Tukums?
FS Jelgava and Tukums drew 2-2 on April 29, 2023.
Goalscorers
- 1′D. PatijčuksFS Jelgava
- 52′F. SteponavičiusTukums
- 58′B. SamoilovsTukums
- 83′Dāvis VējkrīgersFS Jelgava
What is the recent form of both teams?
Over their last 15 matches in all competitions, FS Jelgava have 4 wins, 2 draws and 9 defeats; Tukums have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2023 | Valmiera / BSS(away) | 0-2 | Virsliga |
| Apr 19, 2023 | Auda(home) | 0-0 | Virsliga |
| Apr 15, 2023 | Metta / LU(home) | 2-1 | Virsliga |
| Apr 9, 2023 | FK Liepaja(away) | 2-3 | Virsliga |
| Apr 5, 2023 | Super Nova(home) | 2-0 | Virsliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2023 | Auda(away) | 3-0 | Virsliga |
| Apr 18, 2023 | FK Liepaja(home) | 0-3 | Virsliga |
| Apr 14, 2023 | Rīgas FS(away) | 0-1 | Virsliga |
| Apr 10, 2023 | Riga(home) | 0-2 | Virsliga |
| Apr 6, 2023 | Valmiera / BSS(away) | 3-4 | Virsliga |
How many goals should we expect?
FS Jelgava score 0.8 and concede 1.7 goals per match over their last 15; Tukums score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FS Jelgava | 0.8 | 1.7 | 4 | 6/15 | 8/15 |
| Tukums | 0.9 | 1.9 | 3 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
FS Jelgava sit 7th in Virsliga (28 points from 27 matches) and Tukums sit 9th (20 points from 27 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | FS Jelgava | 27 | 7 | 7 | 13 | 28 | 46 | 28 |
| 9 | Tukums | 27 | 4 | 8 | 15 | 40 | 54 | 20 |
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