Match

Bravo vs Radomlje: result 1-2 and analysis

2. SNLRegular Season - 10Kick-off on October 24, 2018 at 01:00 PM (UTC)Športni Park Šiška, Ljubljana

Bravo
1-2
Radomlje

Full time

What was the result of Bravo vs Radomlje?

Radomlje won 1-2 on October 24, 2018.

Goalscorers

  • 27′A. HalilovićRadomlje
  • 32′M. NukićBravo
  • 47′Robi JakovljevičRadomlje

Official lineup for Bravo vs Radomlje

The starting elevens fielded at kick-off.

Bravo

  1. MM. Nukić
  1. AA. Krcič
  2. OOvbokha Agboyi
  3. DDomen Jugovar
  4. AA. Kurtovič
  1. DDarko Zec
  2. DD. Brekalo
  3. ŽŽ. Trontelj
  4. MM. Turkuš
  5. MM. Križan
  1. DD. Gril

Radomlje

  1. AA. Hajrić
  2. MMatic Ahačič
  3. LL. Cerar
  1. RRobi Jakovljevič
  2. GG. Primc
  3. GG. Trdin
  4. MM. Demirci
  1. MM. Mornar
  2. AA. Halilović
  3. RR. Jazbec
  1. DD. Adam
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Bravo have 7 wins, 2 draws and 1 defeat; Radomlje have 6, 3 and 2.

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

Bravo
DateOpponentScoreCompetition
Oct 20, 2018Brda Dobrovo(home)3-12. SNL
Sep 29, 2018Ilirija(away)3-02. SNL
Sep 26, 2018Dob(home)1-02. SNL
Sep 22, 2018Krka(home)2-22. SNL
Sep 15, 2018Nafta(away)2-32. SNL
Radomlje
DateOpponentScoreCompetition
Oct 20, 2018Brežice(away)4-12. SNL
Oct 14, 2018Fužinar(home)1-12. SNL
Sep 29, 2018Ankaran Hrvatini(home)4-02. SNL
Sep 24, 2018NŠ Drava(away)2-02. SNL
Sep 15, 2018Beltinci(home)4-12. SNL

How many goals should we expect?

Bravo score 2.7 and concede 1.0 goals per match over their last 10; Radomlje score 2.3 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bravo2.71.046/108/10
Radomlje2.30.827/115/11

Over the last 10 matches in all competitions.

A question about Bravo vs Radomlje?

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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