Match

Kremin' vs Mykolaiv: result 2-1 and analysis

Cup2nd Preliminary RoundKick-off on August 22, 2012 at 02:00 PM (UTC)Kremin'-Arena im. Olega Babaeva, Kremenchuk

Kremin'
2-1
Mykolaiv

Full time

What was the result of Kremin' vs Mykolaiv?

Kremin' won 2-1 on August 22, 2012.

Goalscorers

  • 54′Yevhen VolgaKremin'
  • 64′Serhii IvlevKremin'
  • 75′Stanislav GudzikevichMykolaiv (pen.)

Official lineup for Kremin' vs Mykolaiv

The starting elevens fielded at kick-off.

Kremin'

  1. SSerhii Ivlev
  2. YY. Slabyshev
  1. YYevhen Volga
  2. YY. Apryshko
  3. AA. Tynynyk
  4. OO. Muzyka
  1. RRoman Pasichnichenko
  2. IIgor Nikonov
  3. YY. Shapoval
  4. OO. Bulychev
  1. VV. Prokop

Mykolaiv

  1. II. Kryzhanivskyi
  2. VV. Berko
  3. YY. Gagulin
  1. SStanislav Gudzikevich
  2. II. Chernik
  3. RRoman Popov
  1. OOleh Leonidov
  2. SSerhii Zeldi
  3. VV. Pidvirnyy
  4. SS. Chuchman
  1. BBogdan Patsyuk
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Kremin' have 2 wins, 0 draws and 1 defeat; Mykolaiv have 5, 3 and 7.

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

Kremin'
DateOpponentScoreCompetition
Jul 25, 2012Yednist'(home)4-0Cup
Sep 21, 2011Dynamo Kyiv(home)2-3Cup
Aug 17, 2011Kryvbas KR(home)2-0Cup
Mykolaiv
DateOpponentScoreCompetition
Aug 18, 2012Kramatorsk(home)2-0Persha Liga
Aug 11, 2012Olimpik Donetsk(away)0-2Persha Liga
Aug 4, 2012Oleksandria(home)1-0Persha Liga
Jul 27, 2012Sevastopol(away)0-0Persha Liga
Jul 21, 2012Krymteplitsia(home)1-1Persha Liga

How many goals should we expect?

Kremin' score 2.7 and concede 1.0 goals per match over their last 3; Mykolaiv score 1.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kremin'2.71.021/32/3
Mykolaiv1.01.166/155/15

Over the last 3 matches in all competitions.

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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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