Kalush vs Bukovyna: result 2-0 and analysis
Druha LigaRegular Season - 17Kick-off on November 11, 2018 at 12:00 PM (UTC)Stadion Khimik, Kalush
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What was the result of Kalush vs Bukovyna?
Kalush won 2-0 on November 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalush have 7 wins, 4 draws and 4 defeats; Bukovyna have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Nyva Vinnytsya(away) | 0-1 | Druha Liga |
| Oct 31, 2018 | Dnipro-1(home) | 0-3 | Cup |
| Oct 26, 2018 | Polessya(home) | 0-1 | Druha Liga |
| Oct 20, 2018 | Veres Rivne(away) | 1-1 | Druha Liga |
| Oct 14, 2018 | Cherkashchyna-Akademiya(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 14, 2018 | Veres Rivne(home) | 0-1 | Druha Liga |
| Oct 6, 2018 | Cherkashchyna-Akademiya(away) | 0-2 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Kalush win, 1 draw, 0 Bukovyna wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2018 | Bukovyna 0-3 Kalush | Druha Liga |
| Jul 18, 2018 | Kalush 2-2 Bukovyna | Cup |
How many goals should we expect?
Kalush score 0.9 and concede 0.8 goals per match over their last 15; Bukovyna score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 0.9 | 0.8 | 6 | 5/15 | 4/15 |
| Bukovyna | 0.8 | 1.7 | 2 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Kalush vs Bukovyna?
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