Zenit 2 vs Dinamo Moskva II: result 3-1 and analysis
Second League - Group 2Group 2 - 14Kick-off on November 1, 2020 at 10:00 AM (UTC)Malaya Sportivnaya Arena, St. Petersburg
Full time
What was the result of Zenit 2 vs Dinamo Moskva II?
Zenit 2 won 3-1 on November 1, 2020.
Goalscorers
- 12′V. MasalskiyZenit 2
- 37′M. LevinZenit 2
- 39′V. GalkinDinamo Moskva II
- 41′S. KrapukhinZenit 2
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zenit 2 have 8 wins, 2 draws and 5 defeats; Dinamo Moskva II have 8, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Leningradets(away) | 1-0 | Second League - Group 2 |
| Oct 18, 2020 | Znamya Truda(home) | 1-0 | Second League - Group 2 |
| Oct 14, 2020 | Kolomna(away) | 4-1 | Second League - Group 2 |
| Oct 9, 2020 | Chita(home) | 3-0 | Second League - Group 2 |
| Oct 6, 2020 | Zenit Irkutsk(home) | 4-0 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Zvezda St. Petersburg(home) | 2-1 | Second League - Group 2 |
| Oct 18, 2020 | Smolensk(home) | 4-1 | Second League - Group 2 |
| Oct 13, 2020 | Luki-Energiya(home) | 6-0 | Second League - Group 2 |
| Oct 9, 2020 | Kolomna(away) | 1-0 | Second League - Group 2 |
| Oct 3, 2020 | Znamya Truda(home) | 1-1 | Second League - Group 2 |
How many goals should we expect?
Zenit 2 score 2.0 and concede 1.1 goals per match over their last 15; Dinamo Moskva II score 2.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zenit 2 | 2.0 | 1.1 | 5 | 9/15 | 10/15 |
| Dinamo Moskva II | 2.3 | 1.6 | 3 | 10/14 | 11/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Zenit 2 | 28 | 23 | 4 | 1 | 60 | 20 | 73 |
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