Podillya Khmelnytskyi vs Kremin': result 0-2 and analysis
Druha LigaRegular Season - 5Kick-off on August 20, 2016 at 03:00 PM (UTC)Stadion Podillia, Khmelnytskyi
Full time
What was the result of Podillya Khmelnytskyi vs Kremin'?
Kremin' won 0-2 on August 20, 2016.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Podillya Khmelnytskyi have 1 win, 0 draws and 4 defeats; Kremin' have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 24, 2016 | Sudnobudivnyk(home) | 2-0 | Druha Liga |
| Jul 20, 2016 | Nyva Vinnytsya(away) | 1-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2016 | Myr(home) | 2-0 | Druha Liga |
| Aug 10, 2016 | Real Pharm(home) | 1-2 | Cup |
| Aug 5, 2016 | Krystal(away) | 1-0 | Druha Liga |
| Jul 30, 2016 | Zhemchuzhyna Odesa(home) | 2-0 | Druha Liga |
| Jun 1, 2016 | Arsenal Bila Tserkva(home) | 8-0 | Druha Liga |
How many goals should we expect?
Podillya Khmelnytskyi score 1.0 and concede 2.6 goals per match over their last 5; Kremin' score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Podillya Khmelnytskyi | 1.0 | 2.6 | 1 | 3/5 | 4/5 |
| Kremin' | 1.9 | 1.2 | 5 | 8/15 | 9/15 |
Over the last 5 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 Kremin'?
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