Yednist' vs Real Pharm: result 0-2 and analysis
Druha LigaRegular Season - 10Kick-off on September 24, 2011 at 01:00 PM (UTC)Stadion Plysky
Full time
What was the result of Yednist' vs Real Pharm?
Real Pharm won 0-2 on September 24, 2011.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Yednist' have 0 wins, 1 draw and 8 defeats; Real Pharm have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | SKAD-Yalpuh(away) | 1-3 | Druha Liga |
| Sep 10, 2011 | Sumy(home) | 0-3 | Druha Liga |
| Sep 3, 2011 | Cherkaskyi Dnipro(away) | 0-4 | Druha Liga |
| Aug 27, 2011 | Enerhiya Nova Kakhovka(home) | 0-3 | Druha Liga |
| Aug 21, 2011 | Prykarpattya Ivano-Frank(home) | 1-6 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2011 | UkrAhroKom(home) | 0-1 | Druha Liga |
| Sep 11, 2011 | Skala Stryi(away) | 2-2 | Druha Liga |
| Sep 3, 2011 | Dynamo Khmelnytskyi(home) | 2-1 | Druha Liga |
| Aug 29, 2011 | Chornomorets II(away) | 1-1 | Druha Liga |
| Aug 20, 2011 | Krystal(home) | 1-0 | Druha Liga |
How many goals should we expect?
Yednist' score 0.8 and concede 3.7 goals per match over their last 9; Real Pharm score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yednist' | 0.8 | 3.7 | 0 | 6/9 | 9/9 |
| Real Pharm | 1.0 | 1.4 | 3 | 6/10 | 5/10 |
Over the last 9 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 Yednist' 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