Match

Cukaricki vs Mladost Lucani: result 1-1 and analysis

Super LigaRegular Season - 29Kick-off on April 9, 2017 at 03:00 PM (UTC)Stadion na Banovom brdu, Beograd

Cukaricki
1-1
Mladost Lucani

Full time

What was the result of Cukaricki vs Mladost Lucani?

Cukaricki and Mladost Lucani drew 1-1 on April 9, 2017.

Goalscorers

  • 3′S. JovanovićMladost Lucani
  • 59′O. OžegovićCukaricki (pen.)

What is the recent form of both teams?

Over their last 15 matches in all competitions, Cukaricki have 8 wins, 2 draws and 5 defeats; Mladost Lucani have 6, 4 and 5.

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

Cukaricki
DateOpponentScoreCompetition
Mar 31, 2017Metalac GM(away)3-0Super Liga
Mar 19, 2017FK Crvena Zvezda(home)3-4Super Liga
Mar 12, 2017Borac Cacak(away)3-2Super Liga
Mar 8, 2017RAD(home)1-1Super Liga
Mar 4, 2017FK Spartak Zdrepceva KRV(away)1-0Super Liga
Mladost Lucani
DateOpponentScoreCompetition
Apr 1, 2017Javor(home)1-0Super Liga
Mar 19, 2017Vojvodina(away)1-0Super Liga
Mar 12, 2017FK Partizan(home)0-2Super Liga
Mar 8, 2017Backa(away)0-1Super Liga
Mar 4, 2017Novi Pazar(home)0-1Super Liga

What does the head-to-head say?

Across the last 1 meetings: 0 Cukaricki win(s), 0 draw(s), 1 Mladost Lucani win(s).

DateScoreCompetition
Oct 30, 2016Mladost Lucani 2-0 CukarickiSuper Liga

Last archived meeting: Mladost Lucani vs Cukaricki on Oct 30, 2016

How many goals should we expect?

Cukaricki score 1.7 and concede 1.4 goals per match over their last 15; Mladost Lucani score 1.0 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Cukaricki1.71.449/158/15
Mladost Lucani1.00.865/154/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Cukaricki sit 5th in Super Liga (10 points from 6 matches) and Mladost Lucani sit 4th (10 points from 6 matches).

2026-27 standings
#ClubPWDLGFGAPts
4Mladost Lucani62407410
5Cukaricki63129710

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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Next match: Cukaricki and Mladost Lucani

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