Rodina Moskva vs Tver: result 2-3 and analysis
Second League - Group 2Group 2 - 11Kick-off on October 13, 2020 at 10:00 AM (UTC)Sapsan Arena, Moskva
Full time
What was the result of Rodina Moskva vs Tver?
Tver won 2-3 on October 13, 2020.
Goalscorers
- 3′269002Tver
- 34′V. VolkovRodina Moskva (pen.)
- 53′M. ShavelRodina Moskva
- 63′D. ErofeevTver
- 81′Aleksey OrlovTver
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rodina Moskva have 9 wins, 4 draws and 2 defeats; Tver have 7, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2020 | Luki-Energiya(away) | 1-0 | Second League - Group 2 |
| Oct 4, 2020 | Smolensk(home) | 0-0 | Second League - Group 2 |
| Sep 30, 2020 | Enisey(home) | 3-0 | Cup |
| Sep 26, 2020 | Murom(away) | 1-1 | Second League - Group 2 |
| Sep 21, 2020 | Kazanka(away) | 1-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2020 | Murom(away) | 2-1 | Second League - Group 2 |
| Oct 3, 2020 | Kazanka(home) | 4-1 | Second League - Group 2 |
| 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 |
How many goals should we expect?
Rodina Moskva score 2.1 and concede 1.6 goals per match over their last 15; Tver score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rodina Moskva | 2.1 | 1.6 | 4 | 11/15 | 9/15 |
| Tver | 2.0 | 0.9 | 5 | 7/12 | 6/12 |
Over the last 15 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