Metallurg Lipetsk vs Khimik-Arsenal: result 1-1 and analysis
Second League - Group 3Group 3 - 8Kick-off on September 27, 2020 at 12:00 PM (UTC)Stadion Metallurg, Lipetsk
Full time
What was the result of Metallurg Lipetsk vs Khimik-Arsenal?
Metallurg Lipetsk and Khimik-Arsenal drew 1-1 on September 27, 2020.
Goalscorers
- 28′I. GlebovMetallurg Lipetsk
- 86′K. AntipovKhimik-Arsenal
What is the recent form of both teams?
Over their last 10 matches in all competitions, Metallurg Lipetsk have 3 wins, 2 draws and 5 defeats; Khimik-Arsenal have 7, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Ryazan(away) | 2-1 | Second League - Group 3 |
| Sep 12, 2020 | Krasnyy-SGAFKST(home) | 0-0 | Second League - Group 3 |
| Sep 6, 2020 | Saturn Ramenskoye(home) | 2-2 | Second League - Group 3 |
| Aug 29, 2020 | Strogino(away) | 3-2 | Second League - Group 3 |
| Aug 23, 2020 | Salyut-Belgorod(home) | 1-2 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Strogino(home) | 3-1 | Second League - Group 3 |
| Sep 12, 2020 | Salyut-Belgorod(away) | 0-0 | Second League - Group 3 |
| Sep 6, 2020 | Znamya Noginsk(home) | 3-1 | Second League - Group 3 |
| Aug 29, 2020 | Fakel II(away) | 2-0 | Second League - Group 3 |
| Aug 23, 2020 | Kaluga(home) | 1-0 | Second League - Group 3 |
How many goals should we expect?
Metallurg Lipetsk score 1.3 and concede 1.8 goals per match over their last 10; Khimik-Arsenal score 1.7 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metallurg Lipetsk | 1.3 | 1.8 | 2 | 6/10 | 8/10 |
| Khimik-Arsenal | 1.7 | 0.4 | 6 | 4/10 | 4/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Metallurg Lipetsk | 20 | 11 | 5 | 4 | 40 | 23 | 38 |
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