SKA Rostov vs Tuapse: result 4-0 and analysis
Second League - Group 1Group 1 - 7Kick-off on April 9, 2021 at 01:00 PM (UTC)Stadion Trud, Rostov-na-Donu
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What was the result of SKA Rostov vs Tuapse?
SKA Rostov won 4-0 on April 9, 2021.
Goalscorers
- 21′Ivan DonskovSKA Rostov
- 24′G. GongadzeSKA Rostov (pen.)
- 75′Filipp KondryukovSKA Rostov
- 77′S. GaranzhaSKA Rostov
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Rostov have 9 wins, 1 draws and 5 defeats; Tuapse have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2021 | Inter Cherkessk(home) | 4-2 | Second League - Group 1 |
| Mar 28, 2021 | Urozhay(away) | 0-2 | Second League - Group 1 |
| Mar 24, 2021 | Dinamo Makhachkala(home) | 1-0 | Second League - Group 1 |
| Mar 19, 2021 | Dinamo Stavropol(away) | 3-1 | Second League - Group 1 |
| Mar 14, 2021 | Anzhi(home) | 0-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2021 | Druzhba(away) | 2-3 | Second League - Group 1 |
| Mar 29, 2021 | Forte Taganrog(home) | 0-6 | Second League - Group 1 |
| Mar 24, 2021 | Mashuk-KMV(away) | 1-4 | Second League - Group 1 |
| Mar 17, 2021 | Inter Cherkessk(home) | 3-1 | Second League - Group 1 |
| Mar 7, 2021 | Dinamo Makhachkala(away) | 1-3 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 0 SKA Rostov win(s), 1 draw(s), 0 Tuapse win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2020 | Tuapse 1-1 SKA Rostov | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 2.5 and concede 1.1 goals per match over their last 15; Tuapse score 1.6 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 2.5 | 1.1 | 4 | 7/15 | 10/15 |
| Tuapse | 1.6 | 3.0 | 0 | 10/15 | 12/15 |
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