Real Pharm vs Sumy: result 2-2 and analysis
Druha LigaRegular Season - 13Kick-off on October 15, 2011 at 11:00 AM (UTC)Stadion FSK Ivan, Odesa
Full time
What was the result of Real Pharm vs Sumy?
Real Pharm and Sumy drew 2-2 on October 15, 2011.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Real Pharm have 3 wins, 5 draws and 5 defeats; Sumy have 12, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2011 | Cherkaskyi Dnipro(away) | 0-0 | Druha Liga |
| Oct 1, 2011 | Enerhiya Nova Kakhovka(home) | 1-4 | Druha Liga |
| Sep 24, 2011 | Yednist'(away) | 2-0 | Druha Liga |
| Sep 17, 2011 | UkrAhroKom(home) | 0-1 | Druha Liga |
| Sep 11, 2011 | Skala Stryi(away) | 2-2 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2011 | SKAD-Yalpuh(home) | 6-0 | Druha Liga |
| Oct 1, 2011 | Prykarpattya Ivano-Frank(home) | 2-1 | Druha Liga |
| Sep 25, 2011 | Cherkaskyi Dnipro(away) | 2-1 | Druha Liga |
| Sep 21, 2011 | Zirka(home) | 2-2 | Cup |
| Sep 17, 2011 | Enerhiya Nova Kakhovka(home) | 2-0 | Druha Liga |
How many goals should we expect?
Real Pharm score 1.0 and concede 1.4 goals per match over their last 13; Sumy score 2.4 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Pharm | 1.0 | 1.4 | 5 | 7/13 | 6/13 |
| Sumy | 2.4 | 0.5 | 8 | 5/14 | 8/14 |
Over the last 13 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 Sumy?
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