Irtysh Omsk vs Dinamo Kirov: result 4-0 and analysis
Second League A - Spring Season SilverSpring Season Silver - 8Kick-off on April 16, 2025 at 01:00 PM (UTC)Stadion Krasnaya Zvezda, Omsk
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What was the result of Irtysh Omsk vs Dinamo Kirov?
Irtysh Omsk won 4-0 on April 16, 2025.
Goalscorers
- 28′N. DorofeevIrtysh Omsk (pen.)
- 35′N. DorofeevIrtysh Omsk
- 42′R. YanushkovskiyIrtysh Omsk
- 51′N. DorofeevIrtysh Omsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Irtysh Omsk have 4 wins, 5 draws and 6 defeats; Dinamo Kirov have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2025 | Novosibirsk(away) | 0-1 | Second League A - Spring Season Silver |
| Apr 5, 2025 | Forte Taganrog(home) | 0-0 | Second League A - Spring Season Silver |
| Mar 29, 2025 | Kaluga(home) | 1-0 | Second League A - Spring Season Silver |
| Mar 22, 2025 | Dinamo Moskva II(away) | 0-2 | Second League A - Spring Season Silver |
| Mar 15, 2025 | Tekstilshchik(home) | 0-1 | Second League A - Spring Season Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2025 | Dinamo Moskva II(home) | 2-0 | Second League A - Spring Season Silver |
| Apr 5, 2025 | Tekstilshchik(away) | 0-1 | Second League A - Spring Season Silver |
| Mar 29, 2025 | Dinamo Vladivostok(away) | 0-0 | Second League A - Spring Season Silver |
| Mar 22, 2025 | Avangard Kursk(away) | 0-1 | Second League A - Spring Season Silver |
| Mar 15, 2025 | Murom(home) | 1-0 | Second League A - Spring Season Silver |
How many goals should we expect?
Irtysh Omsk score 0.8 and concede 1.1 goals per match over their last 15; Dinamo Kirov score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Irtysh Omsk | 0.8 | 1.1 | 6 | 5/15 | 3/15 |
| Dinamo Kirov | 1.1 | 0.7 | 6 | 7/15 | 3/15 |
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