Dolgoprudny vs Kolomna: result 2-1 and analysis
Second League - Group 2Group 2 - 14Kick-off on November 1, 2020 at 01:30 PM (UTC)Stadion Salyut, Dolgoprudny
Full time
What was the result of Dolgoprudny vs Kolomna?
Dolgoprudny won 2-1 on November 1, 2020.
Goalscorers
- 48′Aleksey RogovDolgoprudny
- 63′Valeri MankoKolomna
- 89′A. AlkhazovDolgoprudny
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dolgoprudny have 10 wins, 2 draws and 3 defeats; Kolomna have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Znamya Truda(away) | 1-0 | Second League - Group 2 |
| Oct 18, 2020 | Rodina Moskva(home) | 2-1 | Second League - Group 2 |
| Oct 13, 2020 | Torpedo Vladimir(away) | 1-3 | Second League - Group 2 |
| Oct 9, 2020 | Kazanka(away) | 2-2 | Second League - Group 2 |
| Oct 3, 2020 | Murom(home) | 3-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Tver(home) | 1-1 | Second League - Group 2 |
| Oct 18, 2020 | Zvezda St. Petersburg(away) | 3-2 | Second League - Group 2 |
| Oct 14, 2020 | Zenit 2(home) | 1-4 | Second League - Group 2 |
| Oct 9, 2020 | Dinamo Moskva II(home) | 0-1 | Second League - Group 2 |
| Oct 4, 2020 | Leningradets(away) | 0-2 | Second League - Group 2 |
How many goals should we expect?
Dolgoprudny score 1.5 and concede 0.9 goals per match over their last 15; Kolomna score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dolgoprudny | 1.5 | 0.9 | 7 | 7/15 | 8/15 |
| Kolomna | 1.2 | 2.3 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Kolomna | 28 | 4 | 11 | 13 | 23 | 45 | 23 |
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