Metallurg Lipetsk vs Krasnyy-SGAFKST: result 0-0 and analysis
Second League - Group 3Group 3 - 6Kick-off on September 12, 2020 at 02:00 PM (UTC)Stadion Metallurg, Lipetsk
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What was the result of Metallurg Lipetsk vs Krasnyy-SGAFKST?
Metallurg Lipetsk and Krasnyy-SGAFKST drew 0-0 on September 12, 2020.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Metallurg Lipetsk have 2 wins, 1 draws and 5 defeats; Krasnyy-SGAFKST have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 19, 2020 | Znamya Noginsk(home) | 0-3 | Cup |
| Aug 15, 2020 | Znamya Noginsk(away) | 0-3 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2020 | Strogino(home) | 0-1 | Second League - Group 3 |
| Aug 29, 2020 | Salyut-Belgorod(away) | 0-0 | Second League - Group 3 |
| Aug 23, 2020 | Znamya Noginsk(home) | 1-1 | Second League - Group 3 |
| Aug 15, 2020 | Fakel II(away) | 2-1 | Second League - Group 3 |
| Aug 9, 2020 | Kaluga(home) | 0-1 | Second League - Group 3 |
How many goals should we expect?
Metallurg Lipetsk score 1.4 and concede 2.1 goals per match over their last 8; Krasnyy-SGAFKST score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metallurg Lipetsk | 1.4 | 2.1 | 1 | 5/8 | 7/8 |
| Krasnyy-SGAFKST | 1.1 | 1.1 | 2 | 3/8 | 4/8 |
Over the last 8 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