Ryazan vs Kvant: result 3-1 and analysis
Friendlies ClubsClub Friendlies 4Kick-off on February 20, 2021 at 10:00 AM (UTC)Central'nyj Sportivn'yj Kompleks, Ryazan'
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What was the result of Ryazan vs Kvant?
Ryazan won 3-1 on February 20, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ryazan have 9 wins, 1 draw and 5 defeats; Kvant have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | FK Sokol Saratov(away) | 2-0 | Second League - Group 3 |
| Nov 3, 2020 | Metallurg Vidnoye(home) | 4-0 | Second League - Group 3 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2020 | Sakhalin(home) | 0-0 | Second League - Group 3 |
| Nov 3, 2020 | Khimki II(away) | 0-1 | Second League - Group 3 |
| Oct 29, 2020 | Saturn Ramenskoye(home) | 1-5 | Second League - Group 3 |
| Oct 24, 2020 | Khimik-Arsenal(away) | 1-1 | Second League - Group 3 |
| Oct 18, 2020 | Ryazan(home) | 2-3 | Second League - Group 3 |
What does the head-to-head say?
In the last meeting: 1 Ryazan win, 0 draws, 0 Kvant wins.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2020 | Kvant 2-3 Ryazan | Second League - Group 3 |
How many goals should we expect?
Ryazan score 1.8 and concede 1.1 goals per match over their last 15; Kvant score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ryazan | 1.8 | 1.1 | 5 | 8/15 | 10/15 |
| Kvant | 0.9 | 1.8 | 3 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Ryazan vs Kvant?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy