SKA Rostov vs Legion Dynamo: result 2-2 and analysis
Second League - Group 1Group 1 - 12Kick-off on October 25, 2020 at 10:00 AM (UTC)Stadion Trud, Rostov-na-Donu
Full time
What was the result of SKA Rostov vs Legion Dynamo?
SKA Rostov and Legion Dynamo drew 2-2 on October 25, 2020.
Goalscorers
- 45′Gennadi KozlovSKA Rostov
- 57′Ilya KozhukharSKA Rostov
- 64′A. EldarushevLegion Dynamo
- 85′A. EldarushevLegion Dynamo
What is the recent form of both teams?
Over their last 13 matches in all competitions, SKA Rostov have 6 wins, 2 draws and 5 defeats; Legion Dynamo have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Druzhba(away) | 3-1 | Second League - Group 1 |
| Oct 4, 2020 | Forte Taganrog(home) | 2-1 | Second League - Group 1 |
| Sep 27, 2020 | Mashuk-KMV(away) | 1-3 | Second League - Group 1 |
| Sep 21, 2020 | Tuapse(away) | 1-1 | Second League - Group 1 |
| Sep 11, 2020 | Inter Cherkessk(away) | 4-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Druzhba(home) | 4-0 | Second League - Group 1 |
| Oct 11, 2020 | Forte Taganrog(away) | 2-2 | Second League - Group 1 |
| Oct 4, 2020 | Mashuk-KMV(home) | 3-0 | Second League - Group 1 |
| Sep 27, 2020 | Tuapse(away) | 3-0 | Second League - Group 1 |
| Sep 20, 2020 | Inter Cherkessk(home) | 4-1 | Second League - Group 1 |
How many goals should we expect?
SKA Rostov score 1.5 and concede 1.5 goals per match over their last 13; Legion Dynamo score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Rostov | 1.5 | 1.5 | 2 | 9/13 | 8/13 |
| Legion Dynamo | 1.7 | 0.7 | 9 | 5/15 | 8/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Legion Dynamo | 33 | 9 | 9 | 15 | 33 | 58 | 36 |
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