Balkany Zorya vs Zhemchuzhyna Odesa: result 0-1 and analysis
Druha LigaRegular Season - 33Kick-off on May 27, 2017 at 02:00 PM (UTC)Stadion im. Boris Tropanets, Zorya
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What was the result of Balkany Zorya vs Zhemchuzhyna Odesa?
Zhemchuzhyna Odesa won 0-1 on May 27, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Balkany Zorya have 7 wins, 6 draws and 2 defeats; Zhemchuzhyna Odesa have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | Kremin'(away) | 1-1 | Druha Liga |
| May 17, 2017 | Nikopol(home) | 1-0 | Druha Liga |
| May 12, 2017 | Metalurh Zaporizhya(away) | 6-2 | Druha Liga |
| May 4, 2017 | Sudnobudivnyk(home) | 5-0 | Druha Liga |
| Apr 30, 2017 | Illichivets' II(away) | 3-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2017 | Sudnobudivnyk(home) | 7-0 | Druha Liga |
| May 18, 2017 | Illichivets' II(away) | 2-0 | Druha Liga |
| May 13, 2017 | Enerhiya Nova Kakhovka(home) | 0-1 | Druha Liga |
| May 9, 2017 | Real Pharm(away) | 1-1 | Druha Liga |
| May 3, 2017 | Teplovyk(home) | 0-1 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Balkany Zorya wins, 0 draws, 1 Zhemchuzhyna Odesa win.
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Zhemchuzhyna Odesa 2-0 Balkany Zorya | Druha Liga |
Last archived meeting: Zhemchuzhyna Odesa vs Balkany Zorya on Oct 30, 2016
How many goals should we expect?
Balkany Zorya score 2.0 and concede 0.9 goals per match over their last 15; Zhemchuzhyna Odesa score 2.0 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balkany Zorya | 2.0 | 0.9 | 7 | 7/15 | 6/15 |
| Zhemchuzhyna Odesa | 2.0 | 0.6 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Balkany Zorya vs Zhemchuzhyna Odesa?
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