Polessya vs Bukovyna: result 0-1 and analysis
Druha LigaRegular Season - 19Kick-off on April 12, 2019 at 01:00 PM (UTC)Tsentralnyi Stadion, Zhytomyr
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What was the result of Polessya vs Bukovyna?
Bukovyna won 0-1 on April 12, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Polessya have 8 wins, 4 draws and 3 defeats; Bukovyna have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Nyva Ternopil(home) | 2-0 | Druha Liga |
| Nov 10, 2018 | Chayka(away) | 1-0 | Druha Liga |
| Nov 4, 2018 | Minai(home) | 1-0 | Druha Liga |
| Oct 26, 2018 | Kalush(away) | 1-0 | Druha Liga |
| Oct 21, 2018 | Bukovyna(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Minai(home) | 0-0 | Druha Liga |
| Nov 11, 2018 | Kalush(away) | 0-2 | Druha Liga |
| Nov 3, 2018 | Podillya Khmelnytskyi(away) | 0-0 | Druha Liga |
| Oct 28, 2018 | Nyva Vinnytsya(home) | 0-4 | Druha Liga |
| Oct 21, 2018 | Polessya(away) | 0-1 | Druha Liga |
What does the head-to-head say?
Across the last 5 meetings: 2 Polessya wins, 1 draw, 2 Bukovyna wins.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2018 | Polessya 1-0 Bukovyna | Druha Liga |
| Aug 19, 2018 | Bukovyna 2-2 Polessya | Druha Liga |
| Apr 27, 2018 | Polessya 2-1 Bukovyna | Druha Liga |
| Nov 12, 2017 | Bukovyna 2-1 Polessya | Druha Liga |
| Oct 7, 2017 | Bukovyna 2-0 Polessya | Druha Liga |
How many goals should we expect?
Polessya score 0.9 and concede 0.6 goals per match over their last 15; Bukovyna score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Polessya | 0.9 | 0.6 | 9 | 3/15 | 1/15 |
| Bukovyna | 0.7 | 1.7 | 2 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Polessya vs Bukovyna?
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