FK Rabotnicki vs Jelgava: result 2-0 and analysis
UEFA Europa League2nd Qualifying RoundKick-off on July 23, 2015 at 06:00 PM (UTC)Toše Proeski Arena, Skopje
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What was the result of FK Rabotnicki vs Jelgava?
FK Rabotnicki won 2-0 on July 23, 2015.
Goalscorers
- 6′Blazhe IlijoskiFK Rabotnicki
- 17′S. SahitiFK Rabotnicki
What is the recent form of both teams?
Over their last 5 matches in all competitions, FK Rabotnicki have 1 wins, 1 draws and 3 defeats; Jelgava have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2015 | Jelgava(away) | 0-1 | UEFA Europa League |
| Jul 9, 2015 | Flora Tallinn(home) | 2-0 | UEFA Europa League |
| Jul 2, 2015 | Flora Tallinn(away) | 0-1 | UEFA Europa League |
| Jul 23, 2014 | HJK Helsinki(away) | 1-2 | UEFA Champions League |
| Jul 15, 2014 | HJK Helsinki(home) | 0-0 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2015 | FK Rabotnicki(home) | 1-0 | UEFA Europa League |
| Jul 9, 2015 | Litex(away) | 2-2 | UEFA Europa League |
| Jul 2, 2015 | Litex(home) | 1-1 | UEFA Europa League |
| Jun 26, 2015 | Metta / LU(home) | 1-0 | Virsliga |
| Jun 19, 2015 | Spartaks Jurmala(home) | 1-1 | Virsliga |
What does the head-to-head say?
Across the last 1 meetings: 0 FK Rabotnicki win(s), 0 draw(s), 1 Jelgava win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 16, 2015 | Jelgava 1-0 FK Rabotnicki | UEFA Europa League |
Last archived meeting: Jelgava vs FK Rabotnicki on Jul 16, 2015
How many goals should we expect?
FK Rabotnicki score 0.6 and concede 0.8 goals per match over their last 5; Jelgava score 1.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Rabotnicki | 0.6 | 0.8 | 2 | 1/5 | 1/5 |
| Jelgava | 1.0 | 0.7 | 7 | 7/15 | 4/15 |
Over the last 5 matches in all competitions.
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