Kaluga vs Metallurg Lipetsk: result 2-1 and analysis
Second League - Group 3Group 3 - 15Kick-off on November 8, 2020 at 11:00 AM (UTC)Arena Annenki, Kaluga
Full time
What was the result of Kaluga vs Metallurg Lipetsk?
Kaluga won 2-1 on November 8, 2020.
Goalscorers
- 27′A. YarkinKaluga (pen.)
- 33′138581Kaluga
- 60′Andrey OvchinnikovMetallurg Lipetsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kaluga have 5 wins, 3 draws and 7 defeats; Metallurg Lipetsk have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2020 | Strogino(away) | 1-3 | Second League - Group 3 |
| Oct 29, 2020 | Salyut-Belgorod(home) | 2-3 | Second League - Group 3 |
| Oct 24, 2020 | Znamya Noginsk(away) | 1-1 | Second League - Group 3 |
| Oct 18, 2020 | Fakel II(home) | 4-1 | Second League - Group 3 |
| Oct 11, 2020 | Saturn Ramenskoye(away) | 0-2 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2020 | Avangard Kursk(home) | 1-0 | Second League - Group 3 |
| Oct 29, 2020 | FK Sokol Saratov(away) | 3-1 | Second League - Group 3 |
| Oct 24, 2020 | Metallurg Vidnoye(home) | 7-0 | Second League - Group 3 |
| Oct 18, 2020 | Sakhalin(away) | 2-0 | Second League - Group 3 |
| Oct 11, 2020 | Khimki II(home) | 4-0 | Second League - Group 3 |
How many goals should we expect?
Kaluga score 1.3 and concede 1.3 goals per match over their last 15; Metallurg Lipetsk score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kaluga | 1.3 | 1.3 | 3 | 9/15 | 7/15 |
| Metallurg Lipetsk | 2.0 | 1.1 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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