Dynamo Makhachkala II vs Stroitel Kamensk-Shakht.: result 1-3 and analysis
Second League - Group 1Group 1 - 5Kick-off on April 20, 2024 at 12:00 PM (UTC)
Full time
What was the result of Dynamo Makhachkala II vs Stroitel Kamensk-Shakht.?
Stroitel Kamensk-Shakht. won 1-3 on April 20, 2024.
Goalscorers
- 30′R. AbduragimovDynamo Makhachkala II
- 31′S. RubanStroitel Kamensk-Shakht.
- 36′S. RubanStroitel Kamensk-Shakht.
- 62′S. RubanStroitel Kamensk-Shakht.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Makhachkala II have 3 wins, 6 draws and 6 defeats; Stroitel Kamensk-Shakht. have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Rubin Yalta(away) | 0-2 | Second League - Group 1 |
| Apr 6, 2024 | Alaniya Vladikavkaz II(home) | 0-0 | Second League - Group 1 |
| Nov 25, 2023 | SKA Rostov(away) | 2-2 | Second League - Group 1 |
| Nov 19, 2023 | Biolog(away) | 0-3 | Second League - Group 1 |
| Nov 15, 2023 | Sevastopol(away) | 0-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Forte Taganrog(home) | 1-0 | Second League - Group 1 |
| Mar 31, 2024 | Rubin Yalta(away) | 0-3 | Second League - Group 1 |
How many goals should we expect?
Dynamo Makhachkala II score 0.9 and concede 1.1 goals per match over their last 15; Stroitel Kamensk-Shakht. score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Makhachkala II | 0.9 | 1.1 | 5 | 6/15 | 6/15 |
| Stroitel Kamensk-Shakht. | 0.5 | 1.5 | 1 | 0/2 | 1/2 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Dynamo Makhachkala II | 20 | 3 | 4 | 13 | 16 | 35 | 13 |
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