Rubikon vs Podillya Khmelnytskyi: result 1-4 and analysis
Druha LigaGroup A - 12Kick-off on November 22, 2020 at 10:00 AM (UTC)Knyazha-Arena, Shchaslyve
Full time
What was the result of Rubikon vs Podillya Khmelnytskyi?
Podillya Khmelnytskyi won 1-4 on November 22, 2020.
Goalscorers
- 9′Vadym ShutenkoRubikon
- 20′B. ShvetsPodillya Khmelnytskyi (o.g.)
- 42′Yaroslav ShpikulaPodillya Khmelnytskyi
- 87′D. PrikhnaPodillya Khmelnytskyi
- 90′K. KostenkoPodillya Khmelnytskyi
What is the recent form of both teams?
Over their last 10 matches in all competitions, Rubikon have 2 wins, 3 draws and 5 defeats; Podillya Khmelnytskyi have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2020 | Nyva Vinnytsya(away) | 1-2 | Druha Liga |
| Oct 24, 2020 | Dinaz Vyshhorod(away) | 0-2 | Druha Liga |
| Oct 17, 2020 | Obolon'-Brovar II(away) | 2-2 | Druha Liga |
| Oct 11, 2020 | Volyn Lutsk II(home) | 1-0 | Druha Liga |
| Oct 3, 2020 | Karpaty(away) | 2-1 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2020 | Karpaty Halych(home) | 2-0 | Druha Liga |
| Nov 7, 2020 | Chernihiv(away) | 3-0 | Druha Liga |
| Oct 24, 2020 | Chayka(away) | 0-0 | Druha Liga |
| Oct 17, 2020 | Nyva Vinnytsya(away) | 2-1 | Druha Liga |
| Oct 10, 2020 | Uzhhorod(home) | 2-1 | Druha Liga |
How many goals should we expect?
Rubikon score 0.8 and concede 1.5 goals per match over their last 10; Podillya Khmelnytskyi score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rubikon | 0.8 | 1.5 | 2 | 5/10 | 4/10 |
| Podillya Khmelnytskyi | 1.3 | 0.8 | 8 | 5/15 | 6/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Podillya Khmelnytskyi | 2 | 1 | 0 | 1 | 4 | 4 | 3 |
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