Dinamo Moskva II vs Irtysh Omsk: result 2-0 and analysis
Second League A - Spring Season SilverSpring Season Silver - 4Kick-off on March 22, 2025 at 01:00 PM (UTC)UTB Novogorsk-Dynamo, Khimki
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What was the result of Dinamo Moskva II vs Irtysh Omsk?
Dinamo Moskva II won 2-0 on March 22, 2025.
Goalscorers
- 45′D. AleksandrovDinamo Moskva II
- 67′V. OkishorDinamo Moskva II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Moskva II have 9 wins, 2 draws and 4 defeats; Irtysh Omsk have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2025 | Kaluga(home) | 1-0 | Second League A - Spring Season Silver |
| Mar 8, 2025 | Tekstilshchik(away) | 0-3 | Second League A - Spring Season Silver |
| Mar 1, 2025 | Dinamo Vladivostok(home) | 1-4 | Second League A - Spring Season Silver |
| Feb 6, 2025 | Tyumen(home) | 0-2 | Friendlies Clubs |
| Nov 3, 2024 | Zvezda St. Petersburg(home) | 4-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2025 | Tekstilshchik(home) | 0-1 | Second League A - Spring Season Silver |
| Mar 8, 2025 | Dinamo Vladivostok(away) | 0-0 | Second League A - Spring Season Silver |
| Mar 1, 2025 | Avangard Kursk(home) | 1-1 | Second League A - Spring Season Silver |
| Nov 24, 2024 | Dinamo Bryansk(home) | 2-0 | Second League A - Promotion Play-offs |
| Nov 20, 2024 | Dinamo Bryansk(away) | 0-0 | Second League A - Promotion Play-offs |
How many goals should we expect?
Dinamo Moskva II score 1.5 and concede 1.3 goals per match over their last 15; Irtysh Omsk score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Moskva II | 1.5 | 1.3 | 4 | 8/15 | 9/15 |
| Irtysh Omsk | 0.9 | 1.3 | 4 | 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