Rubikon vs Real Pharm: result 0-7 and analysis
Druha LigaRegular Season - 5Kick-off on September 30, 2022 at 10:00 AM (UTC)Knyazha-Arena, Shchaslyve
Full time
What was the result of Rubikon vs Real Pharm?
Real Pharm won 0-7 on September 30, 2022.
Goalscorers
- 9′O. FaberReal Pharm
- 16′S. BarsukovReal Pharm
- 38′O. FaberReal Pharm
- 60′N. LadykaReal Pharm
- 66′Serhii PlatunovReal Pharm
- 72′Serhii PlatunovReal Pharm
- 86′V. MyachynReal Pharm
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rubikon have 3 wins, 3 draws and 9 defeats; Real Pharm have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Chayka(away) | 0-3 | Druha Liga |
| Sep 19, 2022 | Khust City(home) | 3-1 | Druha Liga |
| Sep 10, 2022 | Kremin' II(away) | 0-3 | Druha Liga |
| Sep 4, 2022 | Metalurh Zaporizhya II(away) | 2-2 | Druha Liga |
| Nov 27, 2021 | Karpaty Halych(away) | 0-3 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Metalurh Zaporizhya II(home) | 2-1 | Druha Liga |
| Sep 17, 2022 | Nyva Vinnytsya(away) | 0-0 | Druha Liga |
| Sep 10, 2022 | Nyva Buzova(away) | 0-2 | Druha Liga |
| Nov 24, 2021 | Balkany Zorya(home) | 1-1 | Druha Liga - Group B |
| Nov 21, 2021 | Nikopol(away) | 1-0 | Druha Liga - Group B |
How many goals should we expect?
Rubikon score 0.9 and concede 2.1 goals per match over their last 15; Real Pharm score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rubikon | 0.9 | 2.1 | 2 | 7/15 | 11/15 |
| Real Pharm | 1.1 | 1.5 | 3 | 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