Sakhalin vs Metallurg Lipetsk: result 0-2 and analysis
Second League - Group 3Group 3 - 11Kick-off on October 18, 2020 at 07:00 AM (UTC)Stadion Spartak, Yuzhno-Sakhalinsk
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What was the result of Sakhalin vs Metallurg Lipetsk?
Metallurg Lipetsk won 0-2 on October 18, 2020.
Goalscorers
- 36′Aleksandr KutjinMetallurg Lipetsk
- 86′Aleksandr KutjinMetallurg Lipetsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sakhalin have 2 wins, 2 draws and 11 defeats; Metallurg Lipetsk have 5, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Strogino(home) | 0-1 | Second League - Group 3 |
| Oct 4, 2020 | Salyut-Belgorod(home) | 0-2 | Second League - Group 3 |
| Sep 27, 2020 | Znamya Noginsk(home) | 0-0 | Second League - Group 3 |
| Sep 20, 2020 | Fakel II(home) | 5-1 | Second League - Group 3 |
| Sep 12, 2020 | Kaluga(away) | 1-3 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2020 | Khimki II(home) | 4-0 | Second League - Group 3 |
| Oct 4, 2020 | Kvant(away) | 2-1 | Second League - Group 3 |
| Sep 27, 2020 | Khimik-Arsenal(home) | 1-1 | Second League - Group 3 |
| Sep 20, 2020 | Ryazan(away) | 2-1 | Second League - Group 3 |
| Sep 12, 2020 | Krasnyy-SGAFKST(home) | 0-0 | Second League - Group 3 |
How many goals should we expect?
Sakhalin score 0.8 and concede 2.0 goals per match over their last 15; Metallurg Lipetsk score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sakhalin | 0.8 | 2.0 | 3 | 4/15 | 7/15 |
| Metallurg Lipetsk | 1.5 | 1.5 | 3 | 8/13 | 10/13 |
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