Chayka vs Bukovyna: result 1-1 and analysis
Druha LigaRegular Season - 10Kick-off on September 22, 2018 at 01:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv
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What was the result of Chayka vs Bukovyna?
Chayka and Bukovyna drew 1-1 on September 22, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Chayka have 2 wins, 5 draws and 6 defeats; Bukovyna have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Nyva Vinnytsya(home) | 2-2 | Druha Liga |
| Sep 8, 2018 | Polessya(away) | 0-1 | Druha Liga |
| Sep 1, 2018 | Veres Rivne(home) | 0-1 | Druha Liga |
| Aug 27, 2018 | Cherkashchyna-Akademiya(away) | 1-1 | Druha Liga |
| Aug 18, 2018 | Nyva Ternopil(home) | 0-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Minai(away) | 0-3 | Druha Liga |
| Sep 9, 2018 | Kalush(home) | 0-3 | Druha Liga |
| Sep 2, 2018 | Podillya Khmelnytskyi(home) | 3-2 | Druha Liga |
| Aug 26, 2018 | Nyva Vinnytsya(away) | 1-2 | Druha Liga |
| Aug 19, 2018 | Polessya(home) | 2-2 | Druha Liga |
What does the head-to-head say?
In the last meeting: 1 Chayka win, 0 draws, 0 Bukovyna wins.
| Date | Score | Competition |
|---|---|---|
| Jul 22, 2018 | Bukovyna 0-3 Chayka | Druha Liga |
How many goals should we expect?
Chayka score 0.8 and concede 1.1 goals per match over their last 13; Bukovyna score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 0.8 | 1.1 | 5 | 3/13 | 5/13 |
| Bukovyna | 1.3 | 1.9 | 3 | 7/15 | 11/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Chayka | 30 | 17 | 6 | 7 | 58 | 41 | 57 |
A question about Chayka 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