Kalush vs Polessya: result 0-2 and analysis
Druha LigaGroup A - 19Kick-off on November 3, 2019 at 12:00 PM (UTC)Stadion Podillya, Khmelnytskyi
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What was the result of Kalush vs Polessya?
Polessya won 0-2 on November 3, 2019.
Goalscorers
- 32′Denys PrytykovskyiPolessya
- 45′Maksym BorovetsPolessya
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 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Bukovyna(away) | 2-1 | Druha Liga |
| Oct 23, 2019 | Dinaz Vyshhorod(home) | 1-1 | Druha Liga |
| Oct 19, 2019 | Nyva Ternopil(away) | 3-0 | Druha Liga |
| Oct 13, 2019 | Obolon'-Brovar II(home) | 1-1 | Druha Liga |
| Oct 9, 2019 | Uzhhorod(away) | 0-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Bukovyna(home) | 2-2 | Druha Liga |
| Oct 19, 2019 | Dinaz Vyshhorod(home) | 1-0 | Druha Liga |
| Oct 13, 2019 | Nyva Ternopil(home) | 0-0 | Druha Liga |
| Oct 9, 2019 | Obolon'-Brovar II(away) | 3-0 | Druha Liga |
| Oct 5, 2019 | Uzhhorod(home) | 0-0 | Druha Liga |
What does the head-to-head say?
Across the last 4 meetings: 0 Kalush win(s), 1 draw(s), 3 Polessya win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2019 | Polessya 2-0 Kalush | Druha Liga |
| May 1, 2019 | Kalush 1-2 Polessya | Druha Liga |
| 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 1.4 and concede 1.1 goals per match over their last 15; Polessya score 1.1 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 1.4 | 1.1 | 4 | 7/15 | 6/15 |
| Polessya | 1.1 | 0.4 | 10 | 2/15 | 3/15 |
Over the last 15 matches in all competitions.
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