Dinamo Kirov vs Orenburg II: result 2-0 and analysis
Second League - Group 4Group 4 - 2Kick-off on April 20, 2024 at 11:00 AM (UTC)Stadion Rossiya, Novovyatsk
Full time
What was the result of Dinamo Kirov vs Orenburg II?
Dinamo Kirov won 2-0 on April 20, 2024.
Goalscorers
- 3′A. GoryushkinDinamo Kirov
- 53′D. NagovitsinDinamo Kirov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Kirov have 7 wins, 2 draws and 6 defeats; Orenburg II have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Akron II(away) | 2-0 | Second League - Group 4 |
| Nov 12, 2023 | Dinamo St. Petersburg(home) | 1-0 | Second League - Group 2 |
| Nov 5, 2023 | Dinamo Vologda(away) | 2-3 | Second League - Group 2 |
| Oct 29, 2023 | Zorkiy(home) | 1-0 | Second League - Group 2 |
| Oct 25, 2023 | Znamya Truda(home) | 3-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Rubin Kazan 2(home) | 1-3 | Second League - Group 4 |
| Nov 9, 2023 | Dinamo Barnaul(home) | 4-4 | Second League - Group 4 |
| Oct 28, 2023 | Ural II(away) | 0-1 | Second League - Group 4 |
| Oct 22, 2023 | Torpedo Miass(home) | 0-2 | Second League - Group 4 |
| Oct 15, 2023 | Akron II(away) | 3-2 | Second League - Group 4 |
How many goals should we expect?
Dinamo Kirov score 1.2 and concede 1.1 goals per match over their last 15; Orenburg II score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Kirov | 1.2 | 1.1 | 6 | 6/15 | 5/15 |
| Orenburg II | 0.8 | 1.6 | 3 | 5/15 | 4/15 |
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 | Orenburg II | 22 | 6 | 8 | 8 | 31 | 35 | 26 |
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