Kalush vs Polessya: result 1-2 and analysis
Druha LigaRegular Season - 23Kick-off on May 1, 2019 at 02:00 PM (UTC)Stadion Khimik, Kalush
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What was the result of Kalush vs Polessya?
Polessya won 1-2 on May 1, 2019.
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; Polessya have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2019 | Chayka(away) | 1-2 | Druha Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2019 | Cherkashchyna-Akademiya(home) | 0-4 | Druha Liga |
| Apr 18, 2019 | Minai(home) | 0-1 | Druha Liga |
| Apr 12, 2019 | Bukovyna(home) | 0-1 | Druha Liga |
| Apr 6, 2019 | Nyva Ternopil(home) | 2-0 | Druha Liga |
| Nov 10, 2018 | Chayka(away) | 1-0 | Druha Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Kalush wins, 1 draw, 1 Polessya win.
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2018 | Kalush 0-1 Polessya | Druha Liga |
| Aug 26, 2018 | Polessya 1-1 Kalush | Druha Liga |
How many goals should we expect?
Kalush score 0.7 and concede 0.9 goals per match over their last 15; Polessya score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 0.7 | 0.9 | 7 | 4/15 | 4/15 |
| Polessya | 0.7 | 0.7 | 9 | 1/15 | 1/15 |
Over the last 15 matches in all competitions.
A question about Kalush vs Polessya?
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