SKA Rostov vs Chayka: result 0-2 and analysis
Second League - Group 1Group 1 - 18Kick-off on November 14, 2021 at 12:00 PM (UTC)Stadion Trud, Rostov-na-Donu
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What was the result of SKA Rostov vs Chayka?
Chayka won 0-2 on November 14, 2021.
Goalscorers
- 30′S. AlievChayka
- 73′I. OleynikovChayka
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Rostov have 14 wins, 0 draws and 1 defeats; Chayka have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Mashuk-KMV(away) | 2-0 | Second League - Group 1 |
| Oct 31, 2021 | Legion Dynamo(home) | 2-1 | Second League - Group 1 |
| Oct 23, 2021 | Biolog(away) | 3-1 | Second League - Group 1 |
| Oct 17, 2021 | Essentuki(home) | 1-0 | Second League - Group 1 |
| Oct 10, 2021 | Chernomorets(away) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Rotor-2(home) | 3-1 | Second League - Group 1 |
| Oct 31, 2021 | Dinamo Makhachkala(away) | 2-2 | Second League - Group 1 |
| Oct 23, 2021 | Forte Taganrog(home) | 1-1 | Second League - Group 1 |
| Oct 17, 2021 | Kuban Kholding(away) | 1-0 | Second League - Group 1 |
| Oct 10, 2021 | Alaniya Vladikavkaz II(home) | 4-0 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 SKA Rostov win(s), 0 draw(s), 0 Chayka win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2021 | Chayka 0-1 SKA Rostov | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 2.1 and concede 0.5 goals per match over their last 15; Chayka score 2.2 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 2.1 | 0.5 | 8 | 6/15 | 7/15 |
| Chayka | 2.2 | 0.5 | 8 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
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