Real Pharm vs Podillya Khmelnytskyi: result 2-0 and analysis
Druha LigaRegular Season - 15Kick-off on October 21, 2016 at 12:30 PM (UTC)Stadion FSK Ivan, Odesa
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What was the result of Real Pharm vs Podillya Khmelnytskyi?
Real Pharm won 2-0 on October 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Pharm have 7 wins, 3 draws and 5 defeats; Podillya Khmelnytskyi have 2, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Myr(away) | 2-0 | Druha Liga |
| Oct 8, 2016 | Krystal(home) | 2-0 | Druha Liga |
| Oct 1, 2016 | Zhemchuzhyna Odesa(away) | 0-2 | Druha Liga |
| Sep 26, 2016 | Kremin'(home) | 0-1 | Druha Liga |
| Sep 22, 2016 | Obolon'-Brovar(home) | 0-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Teplovyk(home) | 2-1 | Druha Liga |
| Oct 7, 2016 | Arsenal Bila Tserkva(away) | 0-3 | Druha Liga |
| Oct 1, 2016 | Inhulets II(home) | 0-3 | Druha Liga |
| Sep 25, 2016 | Nyva Vinnytsya(away) | 0-4 | Druha Liga |
| Sep 18, 2016 | Ruh Lviv(home) | 0-2 | Druha Liga |
How many goals should we expect?
Real Pharm score 1.7 and concede 1.3 goals per match over their last 15; Podillya Khmelnytskyi score 0.6 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Pharm | 1.7 | 1.3 | 3 | 9/15 | 9/15 |
| Podillya Khmelnytskyi | 0.6 | 2.6 | 2 | 5/14 | 10/14 |
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 Real Pharm 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