Legion Dynamo vs Rostov II: result 1-0 and analysis
Second League - Group 1Group 1 - 17Kick-off on July 6, 2024 at 04:00 PM (UTC)Stadion Dinamo, Machačkala (Makhachkala)
Full time
What was the result of Legion Dynamo vs Rostov II?
Legion Dynamo won 1-0 on July 6, 2024.
Goalscorers
- 54′A. OlenevLegion Dynamo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Legion Dynamo have 8 wins, 3 draws and 4 defeats; Rostov II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2024 | Dynamo Makhachkala II(away) | 4-0 | Second League - Group 1 |
| Jun 24, 2024 | Forte Taganrog(home) | 0-0 | Second League - Group 1 |
| Jun 18, 2024 | Stroitel Kamensk-Shakht.(away) | 1-2 | Second League - Group 1 |
| Jun 12, 2024 | Rubin Yalta(home) | 2-1 | Second League - Group 1 |
| Jun 6, 2024 | Alaniya Vladikavkaz II(away) | 7-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2024 | Spartak Nalchik(home) | 2-1 | Second League - Group 1 |
| Jun 24, 2024 | Biolog(away) | 3-0 | Second League - Group 1 |
| Jun 18, 2024 | Sevastopol(home) | 2-1 | Second League - Group 1 |
| Jun 12, 2024 | Pobeda(away) | 5-2 | Second League - Group 1 |
| Jun 6, 2024 | Dinamo Stavropol(home) | 1-1 | Second League - Group 1 |
How many goals should we expect?
Legion Dynamo score 1.7 and concede 0.7 goals per match over their last 15; Rostov II score 2.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Legion Dynamo | 1.7 | 0.7 | 6 | 6/15 | 7/15 |
| Rostov II | 2.5 | 1.1 | 4 | 11/15 | 12/15 |
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 | Rostov II | 19 | 12 | 4 | 3 | 39 | 16 | 40 |
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