Ryazan vs Khimki II: result 3-1 and analysis
Second League - Group 3Group 3 - 12Kick-off on October 24, 2020 at 01:00 PM (UTC)Central'nyj Sportivn'yj Kompleks, Ryazan'
Full time
What was the result of Ryazan vs Khimki II?
Ryazan won 3-1 on October 24, 2020.
Goalscorers
- 4′V. FaskhutdinovRyazan
- 58′P. PolyakovRyazan
- 82′V. FaskhutdinovRyazan (pen.)
- 83′268437Khimki II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ryazan have 6 wins, 3 draws and 6 defeats; Khimki II have 4, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Kvant(away) | 3-2 | Second League - Group 3 |
| Oct 10, 2020 | Khimik-Arsenal(home) | 3-1 | Second League - Group 3 |
| Oct 4, 2020 | Saturn Ramenskoye(home) | 1-4 | Second League - Group 3 |
| Sep 26, 2020 | Krasnyy-SGAFKST(away) | 0-1 | Second League - Group 3 |
| Sep 20, 2020 | Metallurg Lipetsk(home) | 1-2 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2020 | Krasnyy-SGAFKST(home) | 1-2 | Second League - Group 3 |
| Oct 11, 2020 | Metallurg Lipetsk(away) | 0-4 | Second League - Group 3 |
| Oct 5, 2020 | Strogino(home) | 2-0 | Second League - Group 3 |
| Sep 27, 2020 | Salyut-Belgorod(away) | 0-6 | Second League - Group 3 |
| Sep 21, 2020 | Znamya Noginsk(home) | 1-3 | Second League - Group 3 |
How many goals should we expect?
Ryazan score 1.5 and concede 1.5 goals per match over their last 15; Khimki II score 1.3 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ryazan | 1.5 | 1.5 | 3 | 10/15 | 11/15 |
| Khimki II | 1.3 | 2.4 | 3 | 5/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Ryazan | 19 | 9 | 7 | 3 | 31 | 12 | 34 |
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