Kalush vs Chayka: result 1-0 and analysis
Druha LigaRegular Season - 11Kick-off on September 30, 2018 at 01:00 PM (UTC)Stadion Khimik, Kalush
Full time
What was the result of Kalush vs Chayka?
Kalush won 1-0 on September 30, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Kalush have 6 wins, 5 draws and 2 defeats; Chayka have 2, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | Metalist 1925 Kharkiv(home) | 1-0 | Cup |
| Sep 22, 2018 | Minai(away) | 0-2 | Druha Liga |
| Sep 16, 2018 | Podillya Khmelnytskyi(home) | 0-0 | Druha Liga |
| Sep 9, 2018 | Bukovyna(away) | 3-0 | Druha Liga |
| Sep 2, 2018 | Nyva Vinnytsya(home) | 1-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Bukovyna(home) | 1-1 | Druha Liga |
| 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 |
What does the head-to-head say?
In the last meeting: 0 Kalush wins, 1 draw, 0 Chayka wins.
| Date | Score | Competition |
|---|---|---|
| Jul 28, 2018 | Chayka 0-0 Kalush | Druha Liga |
How many goals should we expect?
Kalush score 1.2 and concede 0.8 goals per match over their last 13; Chayka score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 1.2 | 0.8 | 7 | 5/13 | 4/13 |
| Chayka | 0.8 | 1.1 | 5 | 4/14 | 5/14 |
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 Kalush vs Chayka?
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