Zirka vs Desna: result 0-0 and analysis
Persha LigaRegular Season - 13Kick-off on October 5, 2013 at 12:00 PM (UTC)Stadion Zirka, Kropyvnytskyi
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What was the result of Zirka vs Desna?
Zirka and Desna drew 0-0 on October 5, 2013.
Official lineup for Zirka vs Desna
The starting elevens fielded at kick-off.
Zirka
- OOleksii Chychykov
- YY. Halenko
- VV. Sokurenko
- IIvan Rudnytskyy
- IIhor Zagalskyi
- OOleh Dopilka
- VVadym Rodina
- AAndrii Mostovyi
- VV. Berezovskyi
- DD. Fateev
- EEvgeni Shiryaev
Desna
- EE. Kartushov
- MM. Agapov
- PPetr Kondratyuk
- AAndriy Smalko
- MMykhailo Kozak
- LL. Gulordava
- VVadim Melnyk
- YYarema Kavatsiv
- VVolodymyr Chulanov
- TT. Rustamov
- AA. Fedorenko
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zirka have 6 wins, 2 draws and 7 defeats; Desna have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Bukovyna(away) | 1-0 | Persha Liga |
| Sep 25, 2013 | Mykolaiv(away) | 1-2 | Cup |
| Sep 21, 2013 | Stal Alchevsk(home) | 1-0 | Persha Liga |
| Sep 14, 2013 | Sumy(away) | 0-2 | Persha Liga |
| Sep 7, 2013 | Olimpik Donetsk(home) | 1-3 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2013 | Oleksandria(home) | 2-0 | Persha Liga |
| Sep 25, 2013 | Kryvbas KR(away) | 2-1 | Cup |
| Sep 20, 2013 | Nyva Ternopil(home) | 1-0 | Persha Liga |
| Sep 14, 2013 | Bukovyna(away) | 0-1 | Persha Liga |
| Sep 7, 2013 | Stal Alchevsk(home) | 0-2 | Persha Liga |
How many goals should we expect?
Zirka score 1.1 and concede 1.7 goals per match over their last 15; Desna score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zirka | 1.1 | 1.7 | 4 | 7/15 | 9/15 |
| Desna | 1.3 | 1.1 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Zirka vs Desna?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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