Rotor Volgograd vs Rodina Moskva II: result 2-0 and analysis
Second League A - Spring Season GoldSpring Season Gold - 7Kick-off on April 7, 2024 at 02:00 PM (UTC)Volgograd Arena, Volgograd
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What was the result of Rotor Volgograd vs Rodina Moskva II?
Rotor Volgograd won 2-0 on April 7, 2024.
Goalscorers
- 8′R. GadzhimuradovRotor Volgograd
- 55′R. GadzhimuradovRotor Volgograd (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rotor Volgograd have 7 wins, 4 draws and 4 defeats; Rodina Moskva II have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2024 | Krasnodar 2(away) | 2-3 | Second League A - Spring Season Gold |
| Mar 30, 2024 | Metallurg Lipetsk(home) | 3-0 | Second League A - Spring Season Gold |
| Mar 18, 2024 | Murom(home) | 1-1 | Second League A - Spring Season Gold |
| Mar 10, 2024 | Veles(away) | 2-1 | Second League A - Spring Season Gold |
| Mar 3, 2024 | FC UFA(home) | 0-1 | Second League A - Spring Season Gold |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2024 | Veles(home) | 2-0 | Second League A - Spring Season Gold |
| Mar 30, 2024 | Krasnodar 2(away) | 0-0 | Second League A - Spring Season Gold |
| Mar 18, 2024 | Metallurg Lipetsk(away) | 1-1 | Second League A - Spring Season Gold |
| Mar 10, 2024 | Novosibirsk(home) | 1-2 | Second League A - Spring Season Gold |
| Mar 3, 2024 | Chelyabinsk(away) | 1-2 | Second League A - Spring Season Gold |
How many goals should we expect?
Rotor Volgograd score 1.5 and concede 1.0 goals per match over their last 15; Rodina Moskva II score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rotor Volgograd | 1.5 | 1.0 | 5 | 8/15 | 7/15 |
| Rodina Moskva II | 1.1 | 0.8 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
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