Tver vs Kazanka: result 4-1 and analysis
Second League - Group 2Group 2 - 9Kick-off on October 3, 2020 at 11:30 AM (UTC)Stadion Junost', Tver'
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What was the result of Tver vs Kazanka?
Tver won 4-1 on October 3, 2020.
Goalscorers
- 1′Ivan BezrukovKazanka
- 18′K. UshatovTver
- 61′A. ChernyTver (o.g.)
- 71′N. FrasinyukTver
- 75′I. TursunovTver
What is the recent form of both teams?
Over their last 10 matches in all competitions, Tver have 5 wins, 4 draws and 1 defeats; Kazanka have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Zvezda St. Petersburg(home) | 0-0 | Second League - Group 2 |
| Sep 20, 2020 | Zenit 2(away) | 1-3 | Second League - Group 2 |
| Sep 12, 2020 | Dinamo Moskva II(away) | 4-2 | Second League - Group 2 |
| Sep 6, 2020 | Leningradets(home) | 3-0 | Second League - Group 2 |
| Aug 29, 2020 | Luki-Energiya(away) | 2-0 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2020 | Torpedo Vladimir(away) | 1-2 | Second League - Group 2 |
| Sep 21, 2020 | Rodina Moskva(home) | 1-1 | Second League - Group 2 |
| Sep 12, 2020 | Zvezda St. Petersburg(home) | 4-1 | Second League - Group 2 |
| Sep 6, 2020 | Zenit 2(away) | 0-6 | Second League - Group 2 |
| Aug 29, 2020 | Dinamo Moskva II(away) | 2-2 | Second League - Group 2 |
How many goals should we expect?
Tver score 1.8 and concede 0.9 goals per match over their last 10; Kazanka score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tver | 1.8 | 0.9 | 5 | 5/10 | 4/10 |
| Kazanka | 1.5 | 2.2 | 1 | 7/11 | 8/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Tver | 19 | 7 | 1 | 11 | 28 | 34 | 22 |
| 11 | Tver | 12 | 3 | 1 | 8 | 14 | 23 | 10 |
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