Real Pharm vs Arsenal Kyiv: result 0-3 and analysis
Druha LigaRegular Season - 5Kick-off on August 26, 2015 at 02:30 PM (UTC)Stadion FSK Ivan, Odesa
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What was the result of Real Pharm vs Arsenal Kyiv?
Arsenal Kyiv won 0-3 on August 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Pharm have 5 wins, 5 draws and 5 defeats; Arsenal Kyiv have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Enerhiya Nova Kakhovka(away) | 2-0 | Druha Liga |
| Aug 8, 2015 | Arsenal Bila Tserkva(home) | 0-0 | Druha Liga |
| Aug 2, 2015 | Bukovyna(away) | 0-2 | Druha Liga |
| Jul 26, 2015 | Nikopol(home) | 3-0 | Druha Liga |
| Jul 22, 2015 | Krystal(home) | 0-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2015 | Shakhtar Donetsk(home) | 0-3 | Cup |
| Aug 15, 2015 | Krystal(home) | 2-1 | Druha Liga |
| Aug 8, 2015 | Kolos Kovalivka(away) | 0-1 | Druha Liga |
| Aug 1, 2015 | Kremin'(home) | 1-1 | Druha Liga |
| Jul 26, 2015 | Barsa Sumy(away) | 0-1 | Druha Liga |
How many goals should we expect?
Real Pharm score 1.0 and concede 0.9 goals per match over their last 15; Arsenal Kyiv score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Pharm | 1.0 | 0.9 | 8 | 3/15 | 5/15 |
| Arsenal Kyiv | 0.7 | 1.9 | 2 | 5/15 | 8/15 |
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 Real Pharm vs Arsenal Kyiv?
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