Polessya vs Cherkashchyna-Akademiya: result 0-4 and analysis
Druha LigaMatchday 22Kick-off on April 25, 2019 at 01:00 PM (UTC)Tsentralnyi Stadion, Zhytomyr
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What was the result of Polessya vs Cherkashchyna-Akademiya?
Cherkashchyna-Akademiya won 0-4 on April 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Polessya have 8 wins, 3 draws and 4 defeats; Cherkashchyna-Akademiya 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 | 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 |
| Nov 4, 2018 | Minai(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2019 | Nyva Ternopil(away) | 1-1 | Druha Liga |
| Apr 13, 2019 | Podillya Khmelnytskyi(home) | 3-0 | Druha Liga |
| Apr 6, 2019 | Veres Rivne(away) | 1-0 | Druha Liga |
| Nov 11, 2018 | Podillya Khmelnytskyi(home) | 3-1 | Druha Liga |
| Nov 4, 2018 | Nyva Ternopil(home) | 1-1 | Druha Liga |
What does the head-to-head say?
In the last meeting: 1 Polessya win, 0 draws, 0 Cherkashchyna-Akademiya wins.
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2018 | Cherkashchyna-Akademiya 0-1 Polessya | Druha Liga |
Last archived meeting: Cherkashchyna-Akademiya vs Polessya on Sep 22, 2018
How many goals should we expect?
Polessya score 0.7 and concede 0.5 goals per match over their last 15; Cherkashchyna-Akademiya score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Polessya | 0.7 | 0.5 | 9 | 2/15 | 0/15 |
| Cherkashchyna-Akademiya | 1.3 | 0.8 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Polessya vs Cherkashchyna-Akademiya?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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