Ryazan vs Metallurg Vidnoye: result 4-0 and analysis
Second League - Group 3Group 3 - 14Kick-off on November 3, 2020 at 01:00 PM (UTC)Central'nyj Sportivn'yj Kompleks, Ryazan'
Full time
What was the result of Ryazan vs Metallurg Vidnoye?
Ryazan won 4-0 on November 3, 2020.
Goalscorers
- 47′N. BoyarkinRyazan
- 49′A. BarkovRyazan
- 52′T. DudaytiRyazan
- 89′E. DegtyarevRyazan (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ryazan have 7 wins, 2 draws and 6 defeats; Metallurg Vidnoye have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2020 | Sakhalin(away) | 0-1 | Second League - Group 3 |
| Oct 24, 2020 | Khimki II(home) | 3-1 | Second League - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2020 | Krasnyy-SGAFKST(home) | 1-4 | Second League - Group 3 |
| Oct 24, 2020 | Metallurg Lipetsk(away) | 0-7 | Second League - Group 3 |
| Oct 19, 2020 | Strogino(home) | 4-2 | Second League - Group 3 |
| Oct 11, 2020 | Salyut-Belgorod(away) | 2-1 | Second League - Group 3 |
| Oct 5, 2020 | Znamya Noginsk(home) | 1-2 | Second League - Group 3 |
How many goals should we expect?
Ryazan score 1.5 and concede 1.3 goals per match over their last 15; Metallurg Vidnoye score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ryazan | 1.5 | 1.3 | 3 | 10/15 | 10/15 |
| Metallurg Vidnoye | 1.1 | 2.1 | 3 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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