Kalush vs Chayka: prediction and stats
Druha LigaGroup A - 23Kick-off on May 22, 2021 at 12:00 AM (UTC)Stadion Khimik, Kalush
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kalush have 6 wins, 3 draws and 6 defeats; Chayka have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Veres Rivne(home) | 2-1 | Druha Liga |
| Nov 16, 2019 | Podillya Khmelnytskyi(away) | 0-1 | Druha Liga |
| Nov 3, 2019 | Polessya(home) | 0-2 | Druha Liga |
| Oct 27, 2019 | Bukovyna(away) | 2-1 | Druha Liga |
| Oct 23, 2019 | Dinaz Vyshhorod(home) | 1-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Volyn Lutsk II(home) | 2-1 | Druha Liga |
| May 7, 2021 | Podillya Khmelnytskyi(away) | 0-1 | Druha Liga |
| Apr 30, 2021 | Karpaty(home) | 1-1 | Druha Liga |
| Apr 25, 2021 | Nyva Vinnytsya(away) | 1-3 | Druha Liga |
| Apr 20, 2021 | Epitsentr Dunayivtsi(home) | 1-1 | Druha Liga |
What does the head-to-head say?
Across the last 5 meetings: 1 Kalush win(s), 2 draw(s), 2 Chayka win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2019 | Chayka 1-0 Kalush | Druha Liga |
| Jul 28, 2019 | Kalush 0-0 Chayka | Druha Liga |
| Apr 25, 2019 | Chayka 2-1 Kalush | Druha Liga |
| Sep 30, 2018 | Kalush 1-0 Chayka | Druha Liga |
| Jul 28, 2018 | Chayka 0-0 Kalush | Druha Liga |
How many goals should we expect?
Kalush score 1.3 and concede 1.1 goals per match over their last 15; Chayka score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 1.3 | 1.1 | 3 | 6/15 | 5/15 |
| Chayka | 1.0 | 1.3 | 4 | 7/15 | 6/15 |
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