Salyut-Belgorod vs Fakel II: result 3-0 and analysis
Second League - Group 3Group 3 - 14Kick-off on November 4, 2020 at 12:00 PM (UTC)Stadion Salyut Belgorod, Belgorod
Full time
What was the result of Salyut-Belgorod vs Fakel II?
Salyut-Belgorod won 3-0 on November 4, 2020.
Goalscorers
- 23′D. GribanovSalyut-Belgorod
- 43′D. GribanovSalyut-Belgorod
- 55′D. GribanovSalyut-Belgorod
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salyut-Belgorod have 5 wins, 7 draws and 3 defeats; Fakel II have 2, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 4, 2020 | Sakhalin(away) | 2-0 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2020 | Znamya Noginsk(home) | 0-1 | Second League - Group 3 |
| Oct 24, 2020 | Saturn Ramenskoye(away) | 0-2 | Second League - Group 3 |
| Oct 18, 2020 | Kaluga(away) | 1-4 | Second League - Group 3 |
| Oct 11, 2020 | Avangard Kursk(home) | 1-0 | Second League - Group 3 |
| Oct 4, 2020 | FK Sokol Saratov(away) | 0-1 | Second League - Group 3 |
How many goals should we expect?
Salyut-Belgorod score 1.3 and concede 0.9 goals per match over their last 15; Fakel II score 0.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salyut-Belgorod | 1.3 | 0.9 | 8 | 5/15 | 6/15 |
| Fakel II | 0.7 | 2.2 | 1 | 5/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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