Myr vs Balkany Zorya: result 0-0 and analysis
Druha LigaRegular Season - 1Kick-off on July 24, 2016 at 03:00 PM (UTC)Stadion Zatys, Hornostayivka
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What was the result of Myr vs Balkany Zorya?
Myr and Balkany Zorya drew 0-0 on July 24, 2016.
Official lineup for Myr vs Balkany Zorya
The starting elevens fielded at kick-off.
Myr
- YY. Falkovskyi
- YYevhen Katelin
- YYuriy Komyagin
- VV. Zaytsev
- AA. Shmat
- MMykhailo Laptev
- PPavlo Chmelenko
- YY. Rafalskiy
- DDmytro Tyshchenko
- DDmytro Garvanko
- RR. Gurin
Balkany Zorya
- SSergiy Ursulenko
- OOleksandr Raychev
- MM. Shestakov
- SSerhii Platunov
- KK. Parkhomenko
- VVolodymyr Gavrylyuk
- VVadym Zlatov
- AAnatolii Oprya
- II. Yurechko
- BBogdan Salamakha
- OO. Palamarchuk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Myr have 3 wins, 3 draws and 9 defeats; Balkany Zorya have 2, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2016 | Arsenal Kyiv(home) | 2-3 | Druha Liga |
| May 27, 2016 | Enerhiya Nova Kakhovka(away) | 0-2 | Druha Liga |
| May 20, 2016 | Arsenal Bila Tserkva(home) | 3-0 | Druha Liga |
| May 15, 2016 | Bukovyna(away) | 0-2 | Druha Liga |
| May 7, 2016 | Nikopol(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2016 | Arsenal Bila Tserkva(away) | 3-0 | Cup |
| Aug 22, 2015 | Dnipro Dnipropetrovsk(home) | 0-1 | Cup |
| Jul 22, 2015 | Skala Stryi(home) | 2-1 | Cup |
How many goals should we expect?
Myr score 1.2 and concede 1.9 goals per match over their last 15; Balkany Zorya score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Myr | 1.2 | 1.9 | 4 | 8/15 | 8/15 |
| Balkany Zorya | 1.7 | 0.7 | 1 | 1/3 | 2/3 |
Over the last 15 matches in all competitions.
A question about Myr vs Balkany Zorya?
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