Kalush vs Podillya Khmelnytskyi: result 0-0 and analysis
Druha LigaRegular Season - 9Kick-off on September 16, 2018 at 02:00 PM (UTC)Stadion Khimik, Kalush
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What was the result of Kalush vs Podillya Khmelnytskyi?
Kalush and Podillya Khmelnytskyi drew 0-0 on September 16, 2018.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Kalush have 5 wins, 4 draws and 1 defeat; Podillya Khmelnytskyi have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2018 | Bukovyna(away) | 3-0 | Druha Liga |
| Sep 2, 2018 | Nyva Vinnytsya(home) | 1-1 | Druha Liga |
| Aug 26, 2018 | Polessya(away) | 1-1 | Druha Liga |
| Aug 22, 2018 | Kramatorsk(home) | 2-1 | Cup |
| Aug 18, 2018 | Veres Rivne(home) | 1-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Cherkashchyna-Akademiya(home) | 1-2 | Druha Liga |
| Sep 2, 2018 | Bukovyna(away) | 2-3 | Druha Liga |
| Aug 25, 2018 | Nyva Ternopil(home) | 0-1 | Druha Liga |
| Aug 18, 2018 | Nyva Vinnytsya(away) | 2-2 | Druha Liga |
| Aug 11, 2018 | Chayka(home) | 0-0 | Druha Liga |
How many goals should we expect?
Kalush score 1.4 and concede 0.8 goals per match over their last 10; Podillya Khmelnytskyi score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kalush | 1.4 | 0.8 | 5 | 5/10 | 4/10 |
| Podillya Khmelnytskyi | 0.7 | 1.3 | 6 | 4/15 | 5/15 |
Over the last 10 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 Kalush vs Podillya Khmelnytskyi?
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