Legion Dynamo vs Angust Nazran: result 0-1 and analysis
Second League - Group 1Group 1 - 11Kick-off on May 31, 2024 at 02:00 PM (UTC)Stadion Dinamo, Machačkala (Makhachkala)
Full time
What was the result of Legion Dynamo vs Angust Nazran?
Angust Nazran won 0-1 on May 31, 2024.
Goalscorers
- 90′Bekkhan AlievAngust Nazran
What is the recent form of both teams?
Over their last 15 matches in all competitions, Legion Dynamo have 5 wins, 4 draws and 6 defeats; Angust Nazran have 1, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2024 | Druzhba(away) | 2-0 | Second League - Group 1 |
| May 18, 2024 | Nart Cherkessk(home) | 1-1 | Second League - Group 1 |
| May 15, 2024 | Astrakhan(away) | 0-1 | Second League - Group 1 |
| May 4, 2024 | Spartak Nalchik(away) | 2-1 | Second League - Group 1 |
| Apr 27, 2024 | Biolog(home) | 0-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2024 | Spartak Nalchik(home) | 0-1 | Second League - Group 1 |
| May 22, 2024 | Forte Taganrog(away) | 2-2 | Second League - Group 1 |
| May 18, 2024 | Biolog(away) | 1-1 | Second League - Group 1 |
| May 11, 2024 | Sevastopol(home) | 1-2 | Second League - Group 1 |
| May 8, 2024 | Dynamo Makhachkala II(home) | 1-1 | Second League - Group 1 |
How many goals should we expect?
Legion Dynamo score 1.0 and concede 1.1 goals per match over their last 15; Angust Nazran score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Legion Dynamo | 1.0 | 1.1 | 3 | 8/15 | 5/15 |
| Angust Nazran | 0.8 | 1.0 | 3 | 5/10 | 2/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Angust Nazran | 19 | 4 | 4 | 11 | 9 | 20 | 16 |
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