Dolgoprudny vs Murom: result 3-1 and analysis
Second League - Group 2Group 2 - 9Kick-off on October 3, 2020 at 01:00 PM (UTC)Stadion Salyut, Dolgoprudny
Full time
What was the result of Dolgoprudny vs Murom?
Dolgoprudny won 3-1 on October 3, 2020.
Goalscorers
- 14′I. ChezhiaDolgoprudny
- 35′A. AlkhazovDolgoprudny (pen.)
- 54′R. SosranovDolgoprudny
- 85′Denis SantalovMurom
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dolgoprudny have 7 wins, 3 draws and 5 defeats; Murom have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Zenit 2(home) | 2-1 | Second League - Group 2 |
| Sep 20, 2020 | Zvezda St. Petersburg(away) | 1-0 | Second League - Group 2 |
| Sep 12, 2020 | Leningradets(away) | 2-0 | Second League - Group 2 |
| Sep 6, 2020 | Dinamo Moskva II(away) | 0-3 | Second League - Group 2 |
| Sep 2, 2020 | Leningradets(away) | 1-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2020 | Rodina Moskva(home) | 1-1 | Second League - Group 2 |
| Sep 20, 2020 | Torpedo Vladimir(home) | 0-1 | Second League - Group 2 |
| Sep 12, 2020 | Zenit 2(home) | 1-0 | Second League - Group 2 |
| Sep 6, 2020 | Zvezda St. Petersburg(away) | 0-0 | Second League - Group 2 |
| Aug 29, 2020 | Leningradets(away) | 2-0 | Second League - Group 2 |
How many goals should we expect?
Dolgoprudny score 1.0 and concede 1.1 goals per match over their last 15; Murom score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dolgoprudny | 1.0 | 1.1 | 7 | 5/15 | 6/15 |
| Murom | 1.1 | 1.1 | 5 | 8/15 | 7/15 |
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 | Murom | 19 | 12 | 2 | 5 | 30 | 16 | 38 |
| 4 | Murom | 11 | 7 | 1 | 3 | 15 | 8 | 22 |
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