Koper vs Rogaška: result 3-0 and analysis
2. SNLRegular Season - 13Kick-off on October 12, 2019 at 01:30 PM (UTC)ŠRC Bonifika, Koper
Full time
What was the result of Koper vs Rogaška?
Koper won 3-0 on October 12, 2019.
Goalscorers
- 4′E. BašaKoper
- 75′L. VekićKoper
- 87′Ivica GuberacKoper
Official lineup for Koper vs Rogaška
The starting elevens fielded at kick-off.
Koper
- EE. Baša
- DD. Djermanovič
- II. Jelić Balta
- DDare Vršič
- GGoran Galešić
- IIvica Guberac
- DDamir Hadžič
- DD. Mišić
- ŽŽ. Žužek
- LL. Badžim
- II. Nenezič
Rogaška
- EEmil Hustić
- FFilip Jauk
- DDenis Mraz
- DDenis Šmigoc
- LLuka Štefanac
- AAleš Grošič
- GGoran Čuček
- TTilen Ahec
- SSiniša Antonić
- MMarko Krsnik
- LL. Vunderl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Koper have 10 wins, 4 draws and 1 defeat; Rogaška have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Krško(away) | 2-1 | 2. SNL |
| Sep 29, 2019 | Bilje(home) | 1-0 | 2. SNL |
| Sep 25, 2019 | Dob(away) | 1-1 | 2. SNL |
| Sep 22, 2019 | NŠ Drava(home) | 1-1 | 2. SNL |
| Sep 18, 2019 | Maribor(home) | 3-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Dravograd(home) | 1-3 | 2. SNL |
| Sep 28, 2019 | Beltinci(away) | 0-1 | 2. SNL |
| Sep 25, 2019 | Brežice(home) | 1-0 | 2. SNL |
| Sep 21, 2019 | Nafta(away) | 1-4 | 2. SNL |
| Sep 14, 2019 | Gorica(home) | 1-4 | 2. SNL |
How many goals should we expect?
Koper score 1.9 and concede 0.9 goals per match over their last 15; Rogaška score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Koper | 1.9 | 0.9 | 6 | 9/15 | 7/15 |
| Rogaška | 1.0 | 2.0 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Koper vs Rogaška?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy