Bukovyna vs Real Pharm: result 2-0 and analysis
Druha LigaRegular Season - 2Kick-off on August 2, 2015 at 03:00 PM (UTC)Stadion Bukovyna, Chernivtsi
Full time
What was the result of Bukovyna vs Real Pharm?
Bukovyna won 2-0 on August 2, 2015.
Goalscorers
- 3′V. KotovBukovyna
- 32′Oleksii KrasovBukovyna
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bukovyna have 1 win, 4 draws and 10 defeats; Real Pharm have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2015 | Krystal(away) | 1-3 | Druha Liga |
| Jul 22, 2015 | Mykolaiv(home) | 0-0 | Cup |
| Jun 3, 2015 | Kryvbas KR(away) | 0-1 | Persha Liga |
| May 30, 2015 | Sumy(home) | 4-1 | Persha Liga |
| May 23, 2015 | Oleksandria(away) | 1-4 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2015 | Nikopol(home) | 3-0 | Druha Liga |
| Jul 22, 2015 | Krystal(home) | 0-0 | Cup |
| Jun 3, 2015 | Skala Stryi(away) | 0-2 | Druha Liga |
| May 30, 2015 | Krystal(home) | 2-1 | Druha Liga |
| May 23, 2015 | Nikopol(home) | 0-0 | Druha Liga |
How many goals should we expect?
Bukovyna score 0.7 and concede 2.0 goals per match over their last 15; Real Pharm score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bukovyna | 0.7 | 2.0 | 2 | 8/15 | 6/15 |
| Real Pharm | 1.5 | 0.8 | 8 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Real Pharm | 30 | 1 | 4 | 25 | 18 | 96 | 7 |
A question about Bukovyna vs Real Pharm?
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