Podillya Khmelnytskyi vs Krystal: result 0-0 and analysis
Druha LigaRegular Season - 7Kick-off on September 3, 2016 at 01:00 PM (UTC)Stadion Podillia, Khmelnytskyi
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What was the result of Podillya Khmelnytskyi vs Krystal?
Podillya Khmelnytskyi and Krystal drew 0-0 on September 3, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Podillya Khmelnytskyi have 1 win, 0 draws and 6 defeats; Krystal have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Zhemchuzhyna Odesa(away) | 0-5 | Druha Liga |
| Aug 20, 2016 | Kremin'(home) | 0-2 | Druha Liga |
| Aug 14, 2016 | Nikopol(away) | 0-3 | Druha Liga |
| Aug 5, 2016 | Metalurh Zaporizhya(home) | 1-2 | Druha Liga |
| Jul 30, 2016 | Balkany Zorya(away) | 1-5 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Myr(home) | 0-1 | Druha Liga |
| Aug 15, 2016 | Zhemchuzhyna Odesa(away) | 3-2 | Druha Liga |
| Aug 10, 2016 | Naftovyk-Ukrnafta(home) | 1-4 | Cup |
| Aug 5, 2016 | Kremin'(home) | 0-1 | Druha Liga |
| Jul 30, 2016 | Nikopol(away) | 1-1 | Druha Liga |
How many goals should we expect?
Podillya Khmelnytskyi score 0.7 and concede 2.9 goals per match over their last 7; Krystal score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Podillya Khmelnytskyi | 0.7 | 2.9 | 1 | 3/7 | 5/7 |
| Krystal | 1.1 | 2.0 | 0 | 9/15 | 10/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Podillya Khmelnytskyi | 10 | 4 | 1 | 5 | 17 | 21 | 13 |
A question about Podillya Khmelnytskyi vs Krystal?
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