Match

Sumy vs Mykolaiv: result 0-2 and analysis

Persha LigaRegular Season - 7Kick-off on August 26, 2012 at 05:00 PM (UTC)Stadion Yuvilejnyj, Sumy

Sumy
0-2
Mykolaiv

Full time

What was the result of Sumy vs Mykolaiv?

Mykolaiv won 0-2 on August 26, 2012.

Goalscorers

  • 64′Matvei BobalMykolaiv
  • 67′Aleksandr LishchukMykolaiv

Official lineup for Sumy vs Mykolaiv

The starting elevens fielded at kick-off.

Sumy

  1. OOleksii Prytuliak
  2. BBohdan Esyp
  3. KKostiantyn Rud
  1. EEvgen Pitsyk
  2. AAnatolii Masalov
  1. OOleg Kotelyukh
  2. SSergey Melnyk
  3. VVadym Leshchuk
  4. RRuslan Petrovich
  5. II. Pukas
  1. NNikolay Pavlenko

Mykolaiv

  1. MMatvei Bobal
  1. AA. Chornyi
  2. AAnton Golenkov
  3. IIhor Semenyna
  4. AAndrii Kovalev
  5. II. Chernik
  1. OOleh Leonidov
  2. SSerhii Zeldi
  3. DDmytro Volkov
  4. OOleg Davydov
  1. OO. Chuvaev
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sumy have 9 wins, 3 draws and 3 defeats; Mykolaiv have 5, 3 and 7.

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

Sumy
DateOpponentScoreCompetition
Aug 22, 2012Kramatorsk(away)0-1Cup
Aug 18, 2012Arsenal Bila Tserkva(away)2-1Persha Liga
Aug 11, 2012Naftovyk-Ukrnafta(home)0-1Persha Liga
Aug 4, 2012Dynamo Kyiv II(away)3-1Persha Liga
Jul 28, 2012Odesa(home)1-0Persha Liga
Mykolaiv
DateOpponentScoreCompetition
Aug 22, 2012Kremin'(away)1-2Cup
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

How many goals should we expect?

Sumy score 1.3 and concede 0.7 goals per match over their last 15; Mykolaiv score 1.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sumy1.30.775/157/15
Mykolaiv1.01.166/155/15

Over the last 15 matches in all competitions.

A question about Sumy vs Mykolaiv?

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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