SKA Rostov vs Chayka: result 0-1 and analysis
Second League - Group 1Group 1 - 7Kick-off on September 4, 2022 at 01:00 PM (UTC)Stadion Trud, Rostov-na-Donu
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What was the result of SKA Rostov vs Chayka?
Chayka won 0-1 on September 4, 2022.
Goalscorers
- 65′M. KolmakovChayka
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Rostov have 8 wins, 5 draws and 2 defeats; Chayka have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2022 | Forte Taganrog(away) | 2-1 | Cup |
| Aug 27, 2022 | Mashuk-KMV(away) | 0-0 | Second League - Group 1 |
| Aug 21, 2022 | Dinamo Stavropol(away) | 0-0 | Second League - Group 1 |
| Aug 14, 2022 | Chernomorets(home) | 0-2 | Second League - Group 1 |
| Aug 7, 2022 | Legion Dynamo(away) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2022 | Kuban Kholding(home) | 1-1 | Cup |
| Aug 27, 2022 | Dinamo Stavropol(home) | 2-0 | Second League - Group 1 |
| Aug 21, 2022 | Chernomorets(away) | 2-0 | Second League - Group 1 |
| Aug 14, 2022 | Legion Dynamo(home) | 6-1 | Second League - Group 1 |
| Aug 7, 2022 | Druzhba(away) | 1-0 | Second League - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 SKA Rostov win(s), 0 draw(s), 1 Chayka win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 14, 2021 | SKA Rostov 0-2 Chayka | Second League - Group 1 |
| Aug 1, 2021 | Chayka 0-1 SKA Rostov | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 1.7 and concede 1.1 goals per match over their last 15; Chayka score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 1.7 | 1.1 | 5 | 8/15 | 8/15 |
| Chayka | 2.4 | 0.9 | 5 | 8/15 | 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