Match

Arsenal Tivat vs Iskra: result 0-1 and analysis

CupQuarter-finalsKick-off on November 25, 2020 at 12:00 PM (UTC)Stadion u Parku, Tivat

Arsenal Tivat
0-1
Iskra

Full time

What was the result of Arsenal Tivat vs Iskra?

Iskra won 0-1 on November 25, 2020.

Goalscorers

  • 3′Ivan VukovićIskra

Official lineup for Arsenal Tivat vs Iskra

The starting elevens fielded at kick-off.

Arsenal Tivat

  1. JJ. Muhović
  2. DDejan Pepić
  1. JJ. Montenegro
  2. JJovan Batuta
  3. RR. Tachibana
  1. MM. Todorović
  2. ĆĆ. Manojlović
  3. RRajko Đorđević
  4. SS. Radinović
  5. SS. Mršulja
  1. NN. Lemajić

Iskra

  1. BBogdan Milić
  2. IIvan Vuković
  1. VV. Rogošić
  2. BB. Boričić
  3. MMilan Đurišić
  4. AA. Adžović
  1. LL. Malešević
  2. MM. Drinčić
  3. OO. Obradović
  4. ĐĐ. Šaletić
  1. MM. Kordić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Arsenal Tivat have 11 wins, 2 draws and 2 defeats; Iskra have 4, 6 and 5.

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

Arsenal Tivat
DateOpponentScoreCompetition
Nov 22, 2020Jedinstvo(home)3-2Second League
Nov 15, 2020Kom(home)2-1Second League
Nov 8, 2020Grbalj(away)1-2Second League
Nov 4, 2020Berane(home)3-1Second League
Oct 31, 2020Bokelj(away)2-3Second League
Iskra
DateOpponentScoreCompetition
Nov 21, 2020FK Mladost Podgorica(home)1-1First League
Nov 8, 2020Mladost Lješkopolje(away)1-1First League
Nov 4, 2020Sutjeska(home)3-0First League
Oct 31, 2020Dečić(away)0-2First League
Oct 25, 2020Zeta(home)0-0First League

How many goals should we expect?

Arsenal Tivat score 2.1 and concede 1.1 goals per match over their last 15; Iskra score 1.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Arsenal Tivat2.11.1411/1511/15
Iskra1.01.156/155/15

Over the last 15 matches in all competitions.

A question about Arsenal Tivat 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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