Olimpija Ljubljana vs Rogaška: result 5-0 and analysis
1. SNLRegular Season - 2Kick-off on July 29, 2023 at 06:15 PM (UTC)Stadion Stožice, Ljubljana
Full time
What was the result of Olimpija Ljubljana vs Rogaška?
Olimpija Ljubljana won 5-0 on July 29, 2023.
Goalscorers
- 8′M. KaramatićOlimpija Ljubljana
- 45′S. FadidaOlimpija Ljubljana
- 80′Rui PedroOlimpija Ljubljana
- 85′S. FadidaOlimpija Ljubljana
- 88′S. FadidaOlimpija Ljubljana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olimpija Ljubljana have 9 wins, 1 draws and 5 defeats; Rogaška have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2023 | Ludogorets(away) | 1-1 | UEFA Champions League |
| Jul 22, 2023 | Koper(away) | 1-2 | 1. SNL |
| Jul 19, 2023 | Valmiera / BSS(away) | 2-1 | UEFA Champions League |
| Jul 11, 2023 | Valmiera / BSS(home) | 2-1 | UEFA Champions League |
| Jul 5, 2023 | Rudar(home) | 4-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2023 | Bravo(away) | 0-2 | 1. SNL |
| Jul 8, 2023 | Istra 1961(away) | 1-1 | Friendlies Clubs |
| Jun 30, 2023 | Panathinaikos(away) | 1-3 | Friendlies Clubs |
| Jun 19, 2023 | Ferencvarosi TC(home) | 0-0 | Friendlies Clubs |
| May 19, 2023 | Krško(away) | 2-0 | 2. SNL |
How many goals should we expect?
Olimpija Ljubljana score 2.1 and concede 1.4 goals per match over their last 15; Rogaška score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olimpija Ljubljana | 2.1 | 1.4 | 2 | 12/15 | 12/15 |
| Rogaška | 1.3 | 1.0 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Olimpija Ljubljana | 6 | 2 | 1 | 3 | 3 | 5 | 7 |
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