Desna vs Real Pharm: result 2-0 and analysis
Druha LigaRegular Season - 16Kick-off on November 5, 2011 at 01:00 PM (UTC)Olimpiysʹkyy Navchalʹno-Sportyvnyy Tsentr Chernihiv, Chernihiv
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What was the result of Desna vs Real Pharm?
Desna won 2-0 on November 5, 2011.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Desna have 11 wins, 3 draws and 1 defeats; Real Pharm have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2011 | SKAD-Yalpuh(away) | 4-0 | Druha Liga |
| Oct 22, 2011 | Sumy(home) | 2-1 | Druha Liga |
| Oct 15, 2011 | Cherkaskyi Dnipro(home) | 1-1 | Druha Liga |
| Oct 8, 2011 | Enerhiya Nova Kakhovka(away) | 1-0 | Druha Liga |
| Oct 1, 2011 | Yednist'(home) | 5-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2011 | Prykarpattya Ivano-Frank(home) | 1-0 | Druha Liga |
| Oct 22, 2011 | SKAD-Yalpuh(home) | 5-0 | Druha Liga |
| Oct 15, 2011 | Sumy(home) | 2-2 | Druha Liga |
| Oct 8, 2011 | Cherkaskyi Dnipro(away) | 0-0 | Druha Liga |
| Oct 1, 2011 | Enerhiya Nova Kakhovka(home) | 1-4 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Desna win(s), 0 draw(s), 0 Real Pharm win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2011 | Real Pharm 1-2 Desna | Druha Liga |
How many goals should we expect?
Desna score 2.1 and concede 0.7 goals per match over their last 15; Real Pharm score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Desna | 2.1 | 0.7 | 7 | 7/15 | 7/15 |
| Real Pharm | 1.3 | 1.0 | 7 | 7/15 | 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 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy