Chayka vs Kalush: result 2-1 and analysis
Druha LigaRegular Season - 22Kick-off on April 25, 2019 at 12:00 PM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv
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What was the result of Chayka vs Kalush?
Chayka won 2-1 on April 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chayka have 3 wins, 5 draws and 7 defeats; Kalush have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2019 | Nyva Vinnytsya(home) | 2-1 | Druha Liga |
| Apr 13, 2019 | Minai(away) | 2-1 | Druha Liga |
| Apr 6, 2019 | Nyva Vinnytsya(away) | 0-1 | Druha Liga |
| Nov 10, 2018 | Polessya(home) | 0-1 | Druha Liga |
| Nov 3, 2018 | Veres Rivne(away) | 1-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2019 | Podillya Khmelnytskyi(away) | 1-0 | Druha Liga |
| Apr 13, 2019 | Veres Rivne(home) | 0-0 | Druha Liga |
| Apr 6, 2019 | Podillya Khmelnytskyi(away) | 1-2 | Druha Liga |
| Nov 11, 2018 | Bukovyna(home) | 2-0 | Druha Liga |
| Nov 3, 2018 | Nyva Vinnytsya(away) | 0-1 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Chayka wins, 1 draw, 1 Kalush win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2018 | Kalush 1-0 Chayka | Druha Liga |
| Jul 28, 2018 | Chayka 0-0 Kalush | Druha Liga |
How many goals should we expect?
Chayka score 0.7 and concede 1.1 goals per match over their last 15; Kalush score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 0.7 | 1.1 | 1 | 7/15 | 3/15 |
| Kalush | 0.9 | 0.7 | 8 | 3/15 | 4/15 |
Over the last 15 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 Kalush?
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