Real Pharm vs Metalist 1925 Kharkiv: result 1-2 and analysis
Druha Liga - Group BRegular Season - 8Kick-off on August 25, 2017 at 12:00 PM (UTC)Stadion FSK Ivan, Odesa
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What was the result of Real Pharm vs Metalist 1925 Kharkiv?
Metalist 1925 Kharkiv won 1-2 on August 25, 2017.
Goalscorers
- 21′Y. KravchenkoReal Pharm
- 38′Serhii DavydovMetalist 1925 Kharkiv
- 56′Serhii DavydovMetalist 1925 Kharkiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Real Pharm have 4 wins, 5 draws and 6 defeats; Metalist 1925 Kharkiv have 5, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Dnipro-1(away) | 1-4 | Druha Liga - Group B |
| Aug 14, 2017 | Inhulets II(home) | 5-0 | Druha Liga - Group B |
| Aug 10, 2017 | Mykolaiv II(away) | 3-0 | Druha Liga - Group B |
| Aug 5, 2017 | Enerhiya Nova Kakhovka(home) | 0-1 | Druha Liga - Group B |
| Jul 29, 2017 | Myr(home) | 0-2 | Druha Liga - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Nikopol(home) | 4-0 | Druha Liga - Group B |
| Aug 13, 2017 | Dnipro Dnipropetrovsk(away) | 3-2 | Druha Liga - Group B |
| Aug 9, 2017 | Sudnobudivnyk(home) | 5-1 | Druha Liga - Group B |
| Aug 5, 2017 | Tavriya(away) | 3-0 | Druha Liga - Group B |
| Jul 29, 2017 | Metalurh Zaporizhya(home) | 4-0 | Druha Liga - Group B |
How many goals should we expect?
Real Pharm score 1.1 and concede 1.3 goals per match over their last 15; Metalist 1925 Kharkiv score 3.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Real Pharm | 1.1 | 1.3 | 5 | 6/15 | 7/15 |
| Metalist 1925 Kharkiv | 3.0 | 1.3 | 3 | 4/8 | 7/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Real Pharm | 20 | 4 | 2 | 14 | 22 | 49 | 14 |
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