Match

SKA Odesa vs Desna: result 0-2 and analysis

Druha LigaRegular Season - 7Kick-off on August 26, 2012 at 02:30 PM (UTC)Stadion Spartak

SKA Odesa
0-2
Desna

Full time

What was the result of SKA Odesa vs Desna?

Desna won 0-2 on August 26, 2012.

Goalscorers

  • 9′R. ChernenkoDesna
  • 79′Dmytro BrovkinDesna

Official lineup for SKA Odesa vs Desna

The starting elevens fielded at kick-off.

SKA Odesa

  1. VV. Yavorskyi
  2. IIgor Leonov
  3. BB. Polyakhov
  1. MMaksym Gavrylenko
  2. VVladyslav Gulyaev
  3. IIvan Korotkiy
  4. OOleksandr Berezovskiy
  1. RRustam Tsynya
  2. YYevhen Karetnyi
  3. OO. Babentsov
  1. AA. Cherednyuk

Desna

  1. PPetr Kondratyuk
  2. RRoman Lutsenko
  3. RR. Chernenko
  4. YYevhen Chepurnenko
  1. BBogdan Kobets
  2. VVolodymyr Chulanov
  3. OO. Stetsenko
  4. DDenis Anelikov
  5. VVadim Melnyk
  6. YYarema Kavatsiv
  1. AA. Fedorenko
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What is the recent form of both teams?

Over their last 7 matches in all competitions, SKA Odesa have 3 wins, 1 draw and 3 defeats; Desna have 8, 5 and 2.

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

SKA Odesa
DateOpponentScoreCompetition
Aug 17, 2012Krystal(away)2-2Druha Liga
Aug 11, 2012Nyva Ternopil(home)2-1Druha Liga
Aug 5, 2012Obolon II(away)0-4Druha Liga
Jul 29, 2012Dynamo Khmelnytskyi(home)1-0Druha Liga
Jul 25, 2012Zhemchuzhyna Yalta(home)0-2Cup
Desna
DateOpponentScoreCompetition
Aug 22, 2012Dynamo Khmelnytskyi(away)2-0Cup
Aug 18, 2012Real Pharm(home)1-1Druha Liga
Aug 3, 2012Krystal(away)2-0Druha Liga
Jul 29, 2012Nyva Ternopil(home)3-0Druha Liga
Jul 22, 2012Obolon II(away)1-1Druha Liga

How many goals should we expect?

SKA Odesa score 1.3 and concede 1.7 goals per match over their last 7; Desna score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SKA Odesa1.31.713/74/7
Desna1.70.787/156/15

Over the last 7 matches in all competitions.

A question about SKA Odesa vs Desna?

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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