Match

Bunyodkor vs ZOB Ahan: result 0-0 and analysis

AFC Champions League EliteGroup Stage - 3Kick-off on March 16, 2016 at 01:00 PM (UTC)Milliy Stadion, Tashkent

Bunyodkor
0-0
ZOB Ahan

Full time

What was the result of Bunyodkor vs ZOB Ahan?

Bunyodkor and ZOB Ahan drew 0-0 on March 16, 2016.

Official lineup for Bunyodkor vs ZOB Ahan

The starting elevens fielded at kick-off.

Bunyodkor

  1. 14B. Nasimov
  1. 7Chaker Zouaghi
  2. 9Minori Sato
  3. 29O. Shukurov
  4. 71Aleksandar Alempijevic
  5. 77V. Karpenko
  1. 3A. Komilov
  2. 16D. Axmadaliev
  3. 22R. Ashurmatov
  4. 30Jurica Buljat
  1. 25M. Zukhurov

ZOB Ahan

  1. 9K. Rezaei
  2. 15E. Pahlevan
  3. 30M. Rajabzadeh
  1. 8Ghasem Hadadifar
  2. 11M. Tabrizi
  3. 16M. Mehdipour
  1. 3Walid Ismail
  2. 4H. Mohammadi
  3. 18Ali Hamam
  4. 33V. Mohammadzadeh
  1. 12M. Mazaheri
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Bunyodkor have 8 wins, 4 draws and 3 defeats; ZOB Ahan have 1, 1 and 0.

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

Bunyodkor
DateOpponentScoreCompetition
Mar 11, 2016Sogdiana(away)1-0Super League
Mar 5, 2016Neftchi(home)2-0Super League
Mar 1, 2016Al-Nassr(home)0-1AFC Champions League Elite
Feb 23, 2016Al-Nassr(away)3-3AFC Champions League Elite
Feb 9, 2016Shabab Al Ahli Dubai(home)2-0AFC Champions League Elite
ZOB Ahan
DateOpponentScoreCompetition
Mar 1, 2016Al-Duhail SC(home)0-0AFC Champions League Elite
Feb 23, 2016Al-Duhail SC(away)1-0AFC Champions League Elite

How many goals should we expect?

Bunyodkor score 1.7 and concede 0.7 goals per match over their last 15; ZOB Ahan score 0.5 and concede 0.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bunyodkor1.70.794/154/15
ZOB Ahan0.50.020/20/2

Over the last 15 matches in all competitions.

A question about Bunyodkor vs ZOB Ahan?

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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