Khimik-Arsenal vs Strogino: result 3-1 and analysis
Second League - Group 3Group 3 - 7Kick-off on September 20, 2020 at 11:00 AM (UTC)Stadion Khimik, Novomoskovsk
Full time
What was the result of Khimik-Arsenal vs Strogino?
Khimik-Arsenal won 3-1 on September 20, 2020.
Goalscorers
- 3′N. ZlobinKhimik-Arsenal (pen.)
- 67′A. UstinovStrogino
- 71′I. KuleshinKhimik-Arsenal
- 74′R. IzotovKhimik-Arsenal (pen.)
What is the recent form of both teams?
Over their last 9 matches in all competitions, Khimik-Arsenal have 6 wins, 3 draws and 0 defeats; Strogino have 4, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Salyut-Belgorod(away) | 0-0 | Second League - Group 3 |
| Sep 6, 2020 | Znamya Noginsk(home) | 3-1 | Second League - Group 3 |
| Aug 29, 2020 | Fakel II(away) | 2-0 | Second League - Group 3 |
| Aug 23, 2020 | Kaluga(home) | 1-0 | Second League - Group 3 |
| Aug 15, 2020 | Avangard Kursk(away) | 1-1 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2020 | Ryazan(home) | 2-1 | Second League - Group 3 |
| Sep 6, 2020 | Krasnyy-SGAFKST(away) | 1-0 | Second League - Group 3 |
| Aug 29, 2020 | Metallurg Lipetsk(home) | 2-3 | Second League - Group 3 |
| Aug 23, 2020 | Saturn Ramenskoye(home) | 1-0 | Second League - Group 3 |
| Aug 15, 2020 | Salyut-Belgorod(away) | 0-3 | Second League - Group 3 |
How many goals should we expect?
Khimik-Arsenal score 1.6 and concede 0.3 goals per match over their last 9; Strogino score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimik-Arsenal | 1.6 | 0.3 | 6 | 3/9 | 3/9 |
| Strogino | 1.3 | 1.6 | 2 | 7/11 | 6/11 |
Over the last 9 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