Match

Arsenal Kyiv vs Kobra: result 1-0 and analysis

Persha LigaRegular Season - 8Kick-off on September 8, 2016 at 02:00 PM (UTC)Stadion Kolos, Boryspil'

Arsenal Kyiv
1-0
Kobra

Full time

What was the result of Arsenal Kyiv vs Kobra?

Arsenal Kyiv won 1-0 on September 8, 2016.

Goalscorers

  • 1′Artem PylypenkoArsenal Kyiv

Official lineup for Arsenal Kyiv vs Kobra

The starting elevens fielded at kick-off.

Arsenal Kyiv

  1. AArtem Pylypenko
  1. RR. Chernenko
  2. VV. Turchanov
  3. CC. Kızılateş
  4. NNavid Nasimi
  1. OOleg Kotelyukh
  2. MM. Kostyuchenko
  3. IIvan Bilyi
  4. OOleksii Maydanevych
  5. VV. Getman
  1. DDmytro Ivanov

Kobra

  1. SSerhii Kravchenko
  2. BB. Semenets
  1. II. Lutsenko
  2. VVitalii Subochev
  3. AAnton Kicha
  4. AAnatolii Masalov
  1. IIhor Cherednichenko
  2. SSergiy Loboyko
  3. YYurii Tsapyi
  4. II. Glushytskyi
  1. DD. Sydorenko
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Arsenal Kyiv have 7 wins, 2 draws and 6 defeats; Kobra have 8, 5 and 2.

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

Arsenal Kyiv
DateOpponentScoreCompetition
Sep 3, 2016Cherkaskyi Dnipro(away)0-1Persha Liga
Aug 26, 2016Naftovyk-Ukrnafta(home)2-1Persha Liga
Aug 20, 2016Mykolaiv(away)1-2Persha Liga
Aug 14, 2016FC Mariupol(home)0-3Persha Liga
Aug 10, 2016Ruh Lviv(away)3-2Cup
Kobra
DateOpponentScoreCompetition
Sep 2, 2016Inhulets(home)1-0Persha Liga
Aug 26, 2016Hirnyk-Sport(away)2-0Persha Liga
Aug 20, 2016Skala Stryi(home)1-0Persha Liga
Aug 14, 2016Desna(away)1-1Persha Liga
Aug 10, 2016Desna(home)0-1Cup

How many goals should we expect?

Arsenal Kyiv score 1.2 and concede 1.3 goals per match over their last 15; Kobra score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Arsenal Kyiv1.21.347/158/15
Kobra1.30.777/155/15

Over the last 15 matches in all competitions.

A question about Arsenal Kyiv vs Kobra?

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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