Celje vs Radomlje: result 1-1 and analysis
CupQuarter-finalsKick-off on October 22, 2019 at 03:00 PM (UTC)Stadion Z'dežele, Celje
Full time
What was the result of Celje vs Radomlje?
Celje and Radomlje drew 1-1 on October 22, 2019.
Goalscorers
- 23′Ivan BožićCelje
- 83′L. GučekRadomlje
Official lineup for Celje vs Radomlje
The starting elevens fielded at kick-off.
Celje
- MM. Lotrič
- DD. Vizinger
- IIvan Božić
- LLuka Kerin
- KK. Plantak
- LL. Štravs
- TT. Vidmajer
- JJ. Ćalušić
- ŽŽ. Flis
- ŽŽ. Zaletel
- MM. Jurhar
Radomlje
- MMatic Ahačič
- SS. Varga
- RRobi Jakovljevič
- AAnže Pišek
- ŽŽan Nikolić
- SS. Nuhanović
- DDavid Stariha Laban
- RR. Jazbec
- LL. Guček
- MM. Zabukovnik
- LL. Cerar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Celje have 8 wins, 5 draws and 2 defeats; Radomlje have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | NK Domzale(home) | 2-1 | 1. SNL |
| Oct 5, 2019 | Bravo(away) | 2-2 | 1. SNL |
| Sep 30, 2019 | Aluminij(away) | 0-0 | 1. SNL |
| Sep 26, 2019 | Tabor Sežana(home) | 2-0 | 1. SNL |
| Sep 22, 2019 | Mura(away) | 0-1 | 1. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Bilje(home) | 1-2 | 2. SNL |
| Oct 12, 2019 | Gorica(away) | 1-2 | 2. SNL |
| Oct 5, 2019 | Dob(home) | 2-2 | 2. SNL |
| Sep 29, 2019 | Brda Dobrovo(away) | 3-0 | 2. SNL |
| Sep 25, 2019 | NŠ Drava(home) | 3-2 | 2. SNL |
How many goals should we expect?
Celje score 2.3 and concede 0.9 goals per match over their last 15; Radomlje score 3.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Celje | 2.3 | 0.9 | 6 | 7/15 | 10/15 |
| Radomlje | 3.0 | 1.0 | 6 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Celje vs Radomlje?
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