Real Pharm vs VPK-Ahro Shevchenkivka: result 0-2 and analysis
Druha Liga - Group BGroup B · Matchday 1Kick-off on July 27, 2019 at 03:00 PM (UTC)Stadion FSK Ivan, Odesa
Full time
What was the result of Real Pharm vs VPK-Ahro Shevchenkivka?
VPK-Ahro Shevchenkivka won 0-2 on July 27, 2019.
Goalscorers
- 29′Serhii AleksanovVPK-Ahro Shevchenkivka
- 79′B. ShmygelskyiVPK-Ahro Shevchenkivka
Official lineup for Real Pharm vs VPK-Ahro Shevchenkivka
The starting elevens fielded at kick-off.
Real Pharm
- SS. Kostyuk
- AA. Lykhovydov
- AAndriy Gorbovskiy
- OO. Kolesnykov
- AA. Varenyk
- VVolodymyr Filipchuk
- AAndrii Rudenko
- OOleksandr Dubina
- MMaksym Sorochenko
- MM. Igumenov
- SSerhii Lukash
VPK-Ahro Shevchenkivka
- AAnton Sharko
- OOleksii Krasov
- MMykhailo Kolomoets
- SSerhii Aleksanov
- SStanislav Peredistyi
- BB. Shmygelskyi
- YYaroslav Terekhov
- YYurii Yaremenko
- MMykhailo Vasilyev
- DDmitro Melnikov
- AAndrii Bubentsov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Pharm have 2 wins, 4 draws and 9 defeats; VPK-Ahro Shevchenkivka have 0, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Kremin'(home) | 1-4 | Druha Liga - Group B |
| May 19, 2019 | Nikopol(away) | 1-1 | Druha Liga - Group B |
| May 16, 2019 | Metalurh Zaporizhya(away) | 0-5 | Druha Liga - Group B |
| May 11, 2019 | Enerhiya Nova Kakhovka(away) | 2-2 | Druha Liga - Group B |
| May 4, 2019 | Mykolaiv II(home) | 1-0 | Druha Liga - Group B |
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Real Pharm | 20 | 4 | 2 | 14 | 22 | 49 | 14 |
A question about Real Pharm vs VPK-Ahro Shevchenkivka?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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