Match

Desna vs Arsenal Kyiv: result 1-0 and analysis

Cup1st RoundKick-off on September 21, 2016 at 02:00 PM (UTC)Olimpiysʹkyy Navchalʹno-Sportyvnyy Tsentr Chernihiv, Chernihiv

Desna
1-0
Arsenal Kyiv

Full time

What was the result of Desna vs Arsenal Kyiv?

Desna won 1-0 on September 21, 2016.

Goalscorers

  • 83′D. FavorovDesna

Official lineup for Desna vs Arsenal Kyiv

The starting elevens fielded at kick-off.

Desna

  1. OOleksandr Volkov
  1. YYevhen Chepurnenko
  2. VVadym Bovtruk
  3. DD. Galenkov
  1. VVadim Melnyk
  2. PP. Shchedrakov
  3. AAndrii Mostovyi
  4. OO. Chornomorets
  5. AA. Bratkov
  6. DD. Favorov
  1. KK. Makhnovskyi

Arsenal Kyiv

  1. VV. Tymenko
  2. VVadim Semchuk
  3. AA. Eseola
  1. VV. Turchanov
  2. SSerhii Semenyuk
  3. NNavid Nasimi
  4. AA. Dombrovskyi
  5. KKyrylo Matveev
  1. MM. Kostyuchenko
  2. IIvan Bilyi
  1. SSerhii Sitalo
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Desna have 8 wins, 4 draws and 3 defeats; Arsenal Kyiv have 8, 2 and 5.

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

Desna
DateOpponentScoreCompetition
Sep 18, 2016Sumy(away)0-0Persha Liga
Sep 13, 2016Kramatorsk(away)2-0Persha Liga
Sep 9, 2016Kolos Kovalivka(home)0-4Persha Liga
Sep 4, 2016Ternopil'(away)2-0Persha Liga
Aug 26, 2016Veres Rivne(home)0-0Persha Liga
Arsenal Kyiv
DateOpponentScoreCompetition
Sep 18, 2016Veres Rivne(home)0-0Persha Liga
Sep 13, 2016Bukovyna(away)2-0Persha Liga
Sep 8, 2016Kobra(home)1-0Persha Liga
Sep 3, 2016Cherkaskyi Dnipro(away)0-1Persha Liga
Aug 26, 2016Naftovyk-Ukrnafta(home)2-1Persha Liga

How many goals should we expect?

Desna score 1.3 and concede 0.7 goals per match over their last 15; Arsenal Kyiv score 1.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Desna1.30.794/154/15
Arsenal Kyiv1.31.156/157/15

Over the last 15 matches in all competitions.

A question about Desna vs Arsenal Kyiv?

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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