Zenit Irkutsk vs Murom: result 2-1 and analysis
Second League - Group 2Group 2 - 12Kick-off on October 16, 2020 at 06:00 AM (UTC)Stadion Lokomotiv, Irkutsk
Full time
What was the result of Zenit Irkutsk vs Murom?
Zenit Irkutsk won 2-1 on October 16, 2020.
Goalscorers
- 68′I. YakovlevZenit Irkutsk
- 80′N. KireevMurom
- 87′I. SelemenevZenit Irkutsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit Irkutsk have 4 wins, 4 draws and 7 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 |
|---|---|---|---|
| Oct 13, 2020 | Kazanka(home) | 1-3 | Second League - Group 2 |
| Oct 9, 2020 | Zvezda St. Petersburg(away) | 0-2 | Second League - Group 2 |
| Oct 6, 2020 | Zenit 2(away) | 0-4 | Second League - Group 2 |
| Sep 30, 2020 | Nizhny Novgorod(home) | 0-0 | Cup |
| Sep 27, 2020 | Dinamo Moskva II(home) | 1-0 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 13, 2020 | Chita(away) | 0-1 | Second League - Group 2 |
| Oct 9, 2020 | Tver(home) | 1-2 | Second League - Group 2 |
| Oct 3, 2020 | Dolgoprudny(away) | 1-3 | Second League - Group 2 |
| Sep 26, 2020 | Rodina Moskva(home) | 1-1 | Second League - Group 2 |
| Sep 20, 2020 | Torpedo Vladimir(home) | 0-1 | Second League - Group 2 |
How many goals should we expect?
Zenit Irkutsk score 0.8 and concede 1.2 goals per match over their last 15; Murom score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit Irkutsk | 0.8 | 1.2 | 4 | 5/15 | 4/15 |
| Murom | 1.1 | 1.3 | 3 | 9/15 | 8/15 |
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