Znamya Noginsk vs Salyut-Belgorod: result 0-1 and analysis
Second League - Group 3Group 3 - 15Kick-off on November 8, 2020 at 11:00 AM (UTC)Stadion Znamya, Noginsk
Full time
What was the result of Znamya Noginsk vs Salyut-Belgorod?
Salyut-Belgorod won 0-1 on November 8, 2020.
Goalscorers
- 68′A. SemeykinSalyut-Belgorod
What is the recent form of both teams?
Over their last 15 matches in all competitions, Znamya Noginsk have 6 wins, 5 draws and 4 defeats; Salyut-Belgorod have 5, 7 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 | Saturn Ramenskoye(home) | 1-0 | Second League - Group 3 |
| Oct 29, 2020 | Fakel II(away) | 1-0 | Second League - Group 3 |
| Oct 24, 2020 | Kaluga(home) | 1-1 | Second League - Group 3 |
| Oct 18, 2020 | Avangard Kursk(away) | 1-1 | Second League - Group 3 |
| Oct 11, 2020 | FK Sokol Saratov(home) | 1-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Fakel II(home) | 3-0 | Second League - Group 3 |
| Oct 29, 2020 | Kaluga(away) | 3-2 | Second League - Group 3 |
| Oct 24, 2020 | Avangard Kursk(home) | 3-3 | Second League - Group 3 |
| Oct 17, 2020 | FK Sokol Saratov(away) | 0-1 | Second League - Group 3 |
| Oct 11, 2020 | Metallurg Vidnoye(home) | 1-2 | Second League - Group 3 |
How many goals should we expect?
Znamya Noginsk score 1.3 and concede 1.1 goals per match over their last 15; Salyut-Belgorod score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Znamya Noginsk | 1.3 | 1.1 | 5 | 9/15 | 8/15 |
| Salyut-Belgorod | 1.4 | 0.9 | 8 | 5/15 | 7/15 |
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 | Salyut-Belgorod | 20 | 12 | 3 | 5 | 37 | 18 | 39 |
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