Torpedo Vladimir vs Zenit Irkutsk: prediction and stats
Second League - Group 2Group 2 - 14Kick-off on November 1, 2020 at 01:00 PM (UTC)Stadion Torpedo, Vladimir
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torpedo Vladimir have 7 wins, 2 draws and 6 defeats; Zenit Irkutsk have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2020 | Tver(away) | 2-1 | Second League - Group 2 |
| Oct 13, 2020 | Dolgoprudny(home) | 3-1 | Second League - Group 2 |
| Oct 9, 2020 | Smolensk(away) | 4-1 | Second League - Group 2 |
| Oct 3, 2020 | Luki-Energiya(home) | 2-0 | Second League - Group 2 |
| Sep 27, 2020 | Kazanka(home) | 2-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2020 | Chita(home) | 3-0 | Second League - Group 2 |
| Oct 16, 2020 | Murom(home) | 2-1 | Second League - Group 2 |
| Oct 13, 2020 | Kazanka(home) | 1-3 | Second League - Group 2 |
| Oct 9, 2020 | Zvezda St. Petersburg(away) | 0-2 | Second League - Group 2 |
| Oct 6, 2020 | Zenit 2(away) | 0-4 | Second League - Group 2 |
How many goals should we expect?
Torpedo Vladimir score 1.5 and concede 1.3 goals per match over their last 15; Zenit Irkutsk score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Vladimir | 1.5 | 1.3 | 3 | 10/15 | 9/15 |
| Zenit Irkutsk | 1.1 | 1.1 | 5 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Torpedo Vladimir | 20 | 9 | 5 | 6 | 25 | 20 | 32 |
A question about Torpedo Vladimir vs Zenit Irkutsk?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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