Match

Radomlje vs Gorica: result 3-2 and analysis

Cup8th FinalsKick-off on September 11, 2019 at 01:30 PM (UTC)Športni Park, Domžale

Radomlje
3-2
Gorica

Full time

What was the result of Radomlje vs Gorica?

Radomlje won 3-2 on September 11, 2019.

Goalscorers

  • 23′B. OsujiGorica
  • 35′L. ColleyGorica
  • 38′S. VargaRadomlje
  • 43′Anže PišekRadomlje
  • 104′D. MarjanovičRadomlje (o.g.)

Official lineup for Radomlje vs Gorica

The starting elevens fielded at kick-off.

Radomlje

  1. MMatic Ahačič
  2. SS. Varga
  3. LL. Cerar
  1. AAnže Pišek
  2. GG. Trdin
  3. LLan Gojak
  1. RR. Jazbec
  2. LLovro Vrandečič
  3. ŽŽan Poglajen
  4. LLenart Brolih
  1. LL. Cerar

Gorica

  1. BB. Osuji
  2. MMark Gulič
  3. LL. Colley
  4. NN. Jermol
  1. LLuka Volarič
  2. JJ. Kolenc
  1. TT. Kavčič
  2. ŽŽ. Lipušček
  3. MM. Tomiček
  4. MM. Paljk
  1. DD. Marjanovič
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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; Gorica have 5, 3 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Radomlje
DateOpponentScoreCompetition
Sep 7, 2019Dekani(away)3-12. SNL
Sep 1, 2019Dravograd(home)6-12. SNL
Aug 24, 2019Fužinar(away)2-02. SNL
Aug 17, 2019Beltinci(home)4-02. SNL
Aug 14, 2019Dobrovce(away)10-0Cup
Gorica
DateOpponentScoreCompetition
Sep 7, 2019Krško(home)2-32. SNL
Aug 31, 2019Bilje(away)3-22. SNL
Aug 24, 2019Dob(home)3-32. SNL
Aug 17, 2019NŠ Drava(away)2-12. SNL
Aug 14, 2019Partizan Pesnica(away)5-1Cup

How many goals should we expect?

Radomlje score 3.2 and concede 1.1 goals per match over their last 15; Gorica score 1.9 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Radomlje3.21.178/1510/15
Gorica1.91.9113/1513/15

Over the last 15 matches in all competitions.

A question about Radomlje vs Gorica?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

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