Match

Kapaz vs Dacia: result 0-0 and analysis

UEFA Europa League1st Qualifying RoundKick-off on June 28, 2016 at 04:00 PM (UTC)Şəhər stadionu, Gəncə

Kapaz
0-0
Dacia

Full time

What was the result of Kapaz vs Dacia?

Kapaz and Dacia drew 0-0 on June 28, 2016.

Official lineup for Kapaz vs Dacia

The starting elevens fielded at kick-off.

Kapaz

4-2-3-1
  1. 10Dário Júnior
  1. 77Sérginho
  2. 17Nicat Qurbanov
  3. 7V. Bəybalayev
  1. 90J. Ebah
  2. 13Şəhriyar Rəhimov
  1. 36Renan Alves
  2. 25Ş. Əliyev
  3. 5K. Diniyev
  4. 18T. Axundov
  1. 88T. Simaitis

Dacia

4-4-2
  1. 9Igor Bugaiov
  2. 28Maksym Feshchuk
  1. 10A. Bejan
  2. 17E. Cociuc
  3. 11D. Kozhanov
  4. 7Rinar Valeev
  1. 2A. Slinkin
  2. 5V. Posmac
  3. 24A. Mamah
  4. 4Simeon Bulgaru
  1. 12D. Celeadnic
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kapaz have 7 wins, 3 draws and 5 defeats; Dacia have 3, 0 and 3.

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

Kapaz
DateOpponentScoreCompetition
May 20, 2016Qabala(home)0-1Premyer Liqa
May 15, 2016Zira(away)2-2Premyer Liqa
May 11, 2016Neftchi Baku(home)1-2Premyer Liqa
May 7, 2016Khazar Lankaran(away)3-0Premyer Liqa
Apr 30, 2016Rəvan(home)3-2Premyer Liqa
Dacia
DateOpponentScoreCompetition
Jul 23, 2015Žilina(away)2-4UEFA Europa League
Jul 16, 2015Žilina(home)1-2UEFA Europa League
Jul 9, 2015Renova(home)4-1UEFA Europa League
Jun 30, 2015Renova(away)1-0UEFA Europa League
Jul 20, 2011Zestafoni(home)2-0UEFA Champions League

How many goals should we expect?

Kapaz score 1.5 and concede 1.4 goals per match over their last 15; Dacia score 1.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kapaz1.51.447/159/15
Dacia1.71.723/64/6

Over the last 15 matches in all competitions.

A question about Kapaz vs Dacia?

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

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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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