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 win(s), 1 draw(s), 1 Kalush win(s).
| 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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy