Mashuk-KMV vs Dynamo Makhachkala II: result 1-0 and analysis
Second League - Group 1Group 1 - 7Kick-off on August 27, 2023 at 02:00 PM (UTC)Central'nyj Stadion Mashuk, Pyatigorsk
Full time
What was the result of Mashuk-KMV vs Dynamo Makhachkala II?
Mashuk-KMV won 1-0 on August 27, 2023.
Goalscorers
- 34′A. ButenkoMashuk-KMV
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mashuk-KMV have 8 wins, 1 draws and 6 defeats; Dynamo Makhachkala II have 0, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2023 | Biolog(home) | 0-1 | Cup |
| Aug 13, 2023 | Legion Dynamo(away) | 1-0 | Second League - Group 1 |
| Aug 6, 2023 | Alaniya Vladikavkaz II(home) | 5-0 | Second League - Group 1 |
| Aug 2, 2023 | StavAgrosoyuz(away) | 3-0 | Cup |
| Jul 29, 2023 | Spartak Nalchik(away) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2023 | Legion Dynamo(home) | 0-0 | Second League - Group 1 |
| Aug 14, 2023 | Alaniya Vladikavkaz II(away) | 3-3 | Second League - Group 1 |
| Aug 7, 2023 | Spartak Nalchik(home) | 1-2 | Second League - Group 1 |
| Jul 29, 2023 | Astrakhan(away) | 1-1 | Second League - Group 1 |
| Jul 23, 2023 | Pobeda(home) | 1-2 | Second League - Group 1 |
How many goals should we expect?
Mashuk-KMV score 1.6 and concede 1.3 goals per match over their last 15; Dynamo Makhachkala II score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mashuk-KMV | 1.6 | 1.3 | 7 | 4/15 | 8/15 |
| Dynamo Makhachkala II | 1.2 | 1.6 | 1 | 4/5 | 3/5 |
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