Kazanka vs Murom: result 3-1 and analysis
Second League - Group 2Group 2 - 15Kick-off on November 7, 2020 at 03:00 PM (UTC)Sapsan Arena, Moskva
Full time
What was the result of Kazanka vs Murom?
Kazanka won 3-1 on November 7, 2020.
Goalscorers
- 7′I. GalaninKazanka
- 17′Ivan BezrukovKazanka
- 44′Denis SantalovMurom
- 79′M. AgeevKazanka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kazanka have 7 wins, 5 draws and 3 defeats; Murom have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Luki-Energiya(away) | 3-2 | Second League - Group 2 |
| Oct 25, 2020 | Smolensk(home) | 4-0 | Second League - Group 2 |
| Oct 17, 2020 | Chita(away) | 2-2 | Second League - Group 2 |
| Oct 13, 2020 | Zenit Irkutsk(away) | 3-1 | Second League - Group 2 |
| Oct 9, 2020 | Dolgoprudny(home) | 2-2 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Smolensk(away) | 1-2 | Second League - Group 2 |
| Oct 25, 2020 | Luki-Energiya(home) | 3-1 | Second League - Group 2 |
| Oct 16, 2020 | Zenit Irkutsk(away) | 1-2 | Second League - Group 2 |
| Oct 13, 2020 | Chita(away) | 0-1 | Second League - Group 2 |
| Oct 9, 2020 | Tver(home) | 1-2 | Second League - Group 2 |
How many goals should we expect?
Kazanka score 2.1 and concede 1.9 goals per match over their last 15; Murom score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kazanka | 2.1 | 1.9 | 2 | 12/15 | 12/15 |
| Murom | 1.2 | 1.3 | 3 | 10/15 | 9/15 |
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