Kolos Kovalivka vs Bukovyna: result 2-2 and analysis
Druha LigaRegular Season - 26Kick-off on June 1, 2016 at 03:00 PM (UTC)Stadion Kolos, Kovalivka
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What was the result of Kolos Kovalivka vs Bukovyna?
Kolos Kovalivka and Bukovyna drew 2-2 on June 1, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kolos Kovalivka have 12 wins, 0 draws and 3 defeats; Bukovyna have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Nikopol(away) | 5-1 | Druha Liga |
| May 21, 2016 | Veres Rivne(home) | 3-2 | Druha Liga |
| May 14, 2016 | Skala Stryi(away) | 1-0 | Druha Liga |
| May 7, 2016 | Real Pharm(home) | 2-0 | Druha Liga |
| Apr 29, 2016 | Krystal(away) | 4-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | Kremin'(home) | 0-0 | Druha Liga |
| May 20, 2016 | Barsa Sumy(away) | 1-0 | Druha Liga |
| May 15, 2016 | Myr(home) | 2-0 | Druha Liga |
| May 6, 2016 | Arsenal Kyiv(away) | 0-1 | Druha Liga |
| Apr 29, 2016 | Enerhiya Nova Kakhovka(home) | 2-1 | Druha Liga |
What does the head-to-head say?
In the last meeting: 0 Kolos Kovalivka wins, 0 draws, 1 Bukovyna win.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2015 | Bukovyna 2-0 Kolos Kovalivka | Druha Liga |
Last archived meeting: Bukovyna vs Kolos Kovalivka on Oct 18, 2015
How many goals should we expect?
Kolos Kovalivka score 2.7 and concede 0.9 goals per match over their last 15; Bukovyna score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kolos Kovalivka | 2.7 | 0.9 | 7 | 6/15 | 9/15 |
| Bukovyna | 1.3 | 0.6 | 9 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Kolos Kovalivka 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