Match

Mladost Lješkopolje vs Iskra: result 0-0 and analysis

First LeagueMatchday 6Kick-off on August 31, 2019 at 02:00 PM (UTC)DG Arena, Podgorica

Mladost Lješkopolje
0-0
Iskra

Full time

What was the result of Mladost Lješkopolje vs Iskra?

Mladost Lješkopolje and Iskra drew 0-0 on August 31, 2019.

Official lineup for Mladost Lješkopolje vs Iskra

The starting elevens fielded at kick-off.

Mladost Lješkopolje

  1. NN. Vujnović
  2. LL. Maraš
  1. JJ. Vujović
  2. MMilija Golubović
  3. FFilip Šćekić
  4. NN. Zvrko
  1. DD. Đajić
  2. BB. Aligrudić
  3. JJ. Pajović
  4. KK. Suzuki
  1. JJ. Agović

Iskra

  1. NN. Karaklajić
  2. BBogdan Milić
  3. DD. Camaj
  1. MMiroje Jovanović
  2. VV. Rogošić
  3. BB. Boričić
  4. MMilan Đurišić
  1. LL. Malešević
  2. MM. Drinčić
  3. OO. Obradović
  1. SSrđan Blažić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Mladost Lješkopolje have 6 wins, 4 draws and 5 defeats; Iskra have 8, 3 and 4.

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

Mladost Lješkopolje
DateOpponentScoreCompetition
Aug 24, 2019Sutjeska(away)2-1First League
Aug 18, 2019FK Mladost Podgorica(home)0-0First League
Aug 14, 2019Grbalj(away)1-1First League
Aug 10, 2019Buducnost Podgorica(home)1-3First League
Aug 3, 2019Petrovac(away)1-1First League
Iskra
DateOpponentScoreCompetition
Aug 28, 2019Sutjeska(away)2-4First League
Aug 24, 2019Rudar(home)2-0First League
Aug 18, 2019Zeta(away)1-0First League
Aug 10, 2019FK Mladost Podgorica(home)0-0First League
Aug 3, 2019Grbalj(away)3-2First League

How many goals should we expect?

Mladost Lješkopolje score 1.5 and concede 1.1 goals per match over their last 15; Iskra score 1.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mladost Lješkopolje1.51.1310/158/15
Iskra1.91.159/158/15

Over the last 15 matches in all competitions.

A question about Mladost Lješkopolje vs Iskra?

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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