Podillya Khmelnytskyi vs Chayka: result 0-0 and analysis
Druha LigaRegular Season - 4Kick-off on August 11, 2018 at 03:00 PM (UTC)Stadion Podillia, Khmelnytskyi
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What was the result of Podillya Khmelnytskyi vs Chayka?
Podillya Khmelnytskyi and Chayka drew 0-0 on August 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Podillya Khmelnytskyi have 2 wins, 4 draws and 9 defeats; Chayka have 2, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Polessya(away) | 0-0 | Druha Liga |
| Jul 28, 2018 | Minai(home) | 0-2 | Druha Liga |
| Jul 22, 2018 | Veres Rivne(away) | 1-0 | Druha Liga |
| Jul 18, 2018 | Metalurh Zaporizhya(home) | 0-2 | Cup |
| Jun 2, 2018 | Prykarpattia(home) | 0-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2018 | Minai(away) | 1-2 | Druha Liga |
| Jul 28, 2018 | Kalush(home) | 0-0 | Druha Liga |
| Jul 22, 2018 | Bukovyna(away) | 3-0 | Druha Liga |
| Jul 17, 2018 | Tavriya(away) | 0-1 | Cup |
| Jul 9, 2017 | Ruh Lviv(home) | 0-2 | Cup |
How many goals should we expect?
Podillya Khmelnytskyi score 0.5 and concede 1.7 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 |
|---|---|---|---|---|---|
| Podillya Khmelnytskyi | 0.5 | 1.7 | 6 | 3/15 | 5/15 |
| Chayka | 1.0 | 1.3 | 3 | 1/7 | 4/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Podillya Khmelnytskyi | 9 | 4 | 1 | 4 | 16 | 19 | 13 |
A question about Podillya Khmelnytskyi vs Chayka?
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