Radomlje vs Koper: result 0-2 and analysis
2. SNLRegular Season - 8Kick-off on September 15, 2019 at 02:00 PM (UTC)Športni Park, Domžale
Full time
What was the result of Radomlje vs Koper?
Koper won 0-2 on September 15, 2019.
Goalscorers
- 18′Goran GalešićKoper
- 38′Damir HadžičKoper
Official lineup for Radomlje vs Koper
The starting elevens fielded at kick-off.
Radomlje
- SS. Varga
- LL. Cerar
- RRobi Jakovljevič
- AAnže Pišek
- ŽŽan Nikolić
- GG. Trdin
- RR. Jazbec
- LL. Guček
- ŽŽan Poglajen
- MM. Zabukovnik
- FF. Lojen
Koper
- EE. Baša
- JJaka Štromajer
- II. Jelić Balta
- DDare Vršič
- GGoran Galešić
- IIvica Guberac
- DDamir Hadžič
- DD. Mišić
- ŽŽ. Žužek
- LL. Badžim
- II. Nenezič
What is the recent form of both teams?
Over their last 15 matches in all competitions, Radomlje have 12 wins, 2 draws and 1 defeat; Koper have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2019 | Gorica(home) | 3-2 | Cup |
| Sep 7, 2019 | Dekani(away) | 3-1 | 2. SNL |
| Sep 1, 2019 | Dravograd(home) | 6-1 | 2. SNL |
| Aug 24, 2019 | Fužinar(away) | 2-0 | 2. SNL |
| Aug 17, 2019 | Beltinci(home) | 4-0 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Dravograd(away) | 2-0 | 2. SNL |
| Aug 31, 2019 | Beltinci(home) | 2-0 | 2. SNL |
| Aug 24, 2019 | Brežice(away) | 1-0 | 2. SNL |
| Aug 18, 2019 | Nafta(home) | 2-1 | 2. SNL |
| Aug 14, 2019 | Beltinci(home) | 6-0 | Cup |
How many goals should we expect?
Radomlje score 3.3 and concede 1.3 goals per match over their last 15; Koper score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Radomlje | 3.3 | 1.3 | 6 | 9/15 | 11/15 |
| Koper | 2.1 | 1.1 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Radomlje vs Koper?
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