Torpedo Vladimir vs Kolomna: result 3-1 and analysis
Second League - Group 2Group 2 - 6Kick-off on September 12, 2020 at 03:00 PM (UTC)Stadion Torpedo, Vladimir
Full time
What was the result of Torpedo Vladimir vs Kolomna?
Torpedo Vladimir won 3-1 on September 12, 2020.
Goalscorers
- 11′D. KoshelevTorpedo Vladimir (o.g.)
- 12′D. KalabukhovTorpedo Vladimir
- 23′M. SassTorpedo Vladimir
- 57′M. ArtemchukKolomna
What is the recent form of both teams?
Over their last 11 matches in all competitions, Torpedo Vladimir have 0 wins, 3 draws and 8 defeats; Kolomna have 3, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2020 | Znamya Truda(away) | 0-0 | Second League - Group 2 |
| Aug 29, 2020 | Zenit 2(home) | 1-1 | Second League - Group 2 |
| Aug 23, 2020 | Zvezda St. Petersburg(away) | 0-1 | Second League - Group 2 |
| Aug 19, 2020 | Rodina Moskva(home) | 0-2 | Cup |
| Aug 15, 2020 | Leningradets(home) | 1-2 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2020 | Rodina Moskva(away) | 1-4 | Second League - Group 2 |
| Sep 2, 2020 | Rodina Moskva(home) | 2-3 | Cup |
| Aug 26, 2020 | Chita(away) | 1-1 | Second League - Group 2 |
| Aug 23, 2020 | Zenit Irkutsk(away) | 0-4 | Second League - Group 2 |
| Aug 19, 2020 | Sakhalin(home) | 2-0 | Cup |
How many goals should we expect?
Torpedo Vladimir score 0.8 and concede 2.0 goals per match over their last 11; Kolomna score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torpedo Vladimir | 0.8 | 2.0 | 1 | 6/11 | 6/11 |
| Kolomna | 1.4 | 1.9 | 2 | 7/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Torpedo Vladimir | 17 | 7 | 5 | 5 | 18 | 16 | 26 |
| 7 | Torpedo Vladimir | 11 | 5 | 2 | 4 | 12 | 11 | 17 |
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