Fakel II vs Strogino: result 1-2 and analysis
Second League - Group 3Group 3 - 15Kick-off on November 8, 2020 at 02:00 PM (UTC)Stadion Mir futbola, Voronezh
Full time
What was the result of Fakel II vs Strogino?
Strogino won 1-2 on November 8, 2020.
Goalscorers
- 27′G. RodionovStrogino
- 87′Denis ShepilovFakel II
- 90′S. KostyukovStrogino
What is the recent form of both teams?
Over their last 14 matches in all competitions, Fakel II have 2 wins, 0 draws and 12 defeats; Strogino have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Salyut-Belgorod(away) | 0-3 | Second League - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2020 | Kaluga(home) | 3-1 | Second League - Group 3 |
| Oct 29, 2020 | Avangard Kursk(away) | 0-1 | Second League - Group 3 |
| Oct 23, 2020 | FK Sokol Saratov(home) | 3-2 | Second League - Group 3 |
| Oct 19, 2020 | Metallurg Vidnoye(away) | 2-4 | Second League - Group 3 |
| Oct 11, 2020 | Sakhalin(away) | 1-0 | Second League - Group 3 |
How many goals should we expect?
Fakel II score 0.6 and concede 2.2 goals per match over their last 14; Strogino score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel II | 0.6 | 2.2 | 1 | 5/14 | 7/14 |
| Strogino | 1.3 | 1.7 | 3 | 9/15 | 8/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Strogino | 20 | 6 | 4 | 10 | 24 | 33 | 22 |
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