Chayka vs Rubikon: result 1-2 and analysis
Druha LigaGroup A - 16Kick-off on April 9, 2021 at 11:00 AM (UTC)Tsentralnyi stadion im. Mikhaila Brukvenka, Makariv
Full time
What was the result of Chayka vs Rubikon?
Rubikon won 1-2 on April 9, 2021.
Goalscorers
- 27′Tymur PogranichnyiChayka
- 41′Vladyslav KabanyukRubikon
- 58′Vladyslav KabanyukRubikon
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chayka have 5 wins, 5 draws and 5 defeats; Rubikon have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | Bukovyna(away) | 0-0 | Druha Liga |
| Mar 27, 2021 | Karpaty Halych(home) | 0-3 | Druha Liga |
| Mar 19, 2021 | Dinaz Vyshhorod(away) | 0-2 | Druha Liga |
| Nov 26, 2020 | Obolon'-Brovar II(away) | 2-0 | Druha Liga |
| Nov 21, 2020 | Chernihiv(home) | 2-0 | Druha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2021 | Karpaty Halych(home) | 0-2 | Druha Liga |
| Mar 27, 2021 | Chernihiv(away) | 1-0 | Druha Liga |
| Mar 23, 2021 | Bukovyna(home) | 1-3 | Druha Liga |
| Nov 26, 2020 | Uzhhorod(home) | 1-4 | Druha Liga |
| Nov 22, 2020 | Podillya Khmelnytskyi(home) | 1-4 | Druha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Chayka win(s), 0 draw(s), 0 Rubikon win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2020 | Rubikon 1-3 Chayka | Druha Liga |
How many goals should we expect?
Chayka score 1.3 and concede 1.1 goals per match over their last 15; Rubikon score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 1.3 | 1.1 | 4 | 7/15 | 6/15 |
| Rubikon | 0.8 | 1.9 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Chayka | 30 | 17 | 6 | 7 | 58 | 41 | 57 |
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