Irkutsk vs Murom: prediction and stats
Second League - Group 2Group 2 - 22Kick-off on September 6, 2026 at 01:00 PM (UTC)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Irkutsk have 3 wins, 4 draws and 8 defeats; Murom have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2026 | Chertanovo Moscow(home) | 1-1 | Second League - Group 2 |
| Jun 28, 2026 | Kosmos Dolgoprudny(away) | 0-2 | Second League - Group 2 |
| Jun 21, 2026 | Dinamo St. Petersburg(home) | 0-4 | Second League - Group 2 |
| Jun 14, 2026 | Cherepovets(away) | 2-1 | Second League - Group 2 |
| Jun 3, 2026 | Zvezda St. Petersburg(away) | 1-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2026 | Dinamo Vologda(home) | 2-1 | Second League - Group 2 |
| Aug 27, 2026 | 2Drots(away) | 3-0 | Cup |
| Aug 23, 2026 | Baltika II(away) | 0-3 | Second League - Group 2 |
| Aug 16, 2026 | Yenisey II(home) | 1-1 | Second League - Group 2 |
| Aug 12, 2026 | Metallurg Lipetsk(home) | 0-0 | Cup |
How many goals should we expect?
Irkutsk score 0.9 and concede 1.7 goals per match over their last 15; Murom score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Irkutsk | 0.9 | 1.7 | 1 | 8/15 | 8/15 |
| Murom | 1.6 | 0.9 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Irkutsk sit 15th in Second League - Group 2 (11 points from 21 matches) and Murom sit 1st (44 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Murom | 21 | 14 | 2 | 5 | 35 | 17 | 44 |
| 15 | Irkutsk | 21 | 3 | 2 | 16 | 11 | 46 | 11 |
A question about Irkutsk vs Murom?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy