Chita vs Tver: prediction and stats
Second League - Group 2Group 2 - 29Kick-off on June 12, 2021 at 06:00 AM (UTC)Stadion Lokomotiv, Chita
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chita have 5 wins, 3 draws and 7 defeats; Tver 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 |
|---|---|---|---|
| Jun 4, 2021 | Torpedo Vladimir(home) | 2-1 | Second League - Group 2 |
| Jun 1, 2021 | Rodina Moskva(home) | 2-1 | Second League - Group 2 |
| May 23, 2021 | Znamya Truda(away) | 0-3 | Second League - Group 2 |
| May 20, 2021 | Kolomna(away) | 0-2 | Second League - Group 2 |
| May 11, 2021 | Luki-Energiya(home) | 1-0 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2021 | Kolomna(home) | 4-1 | Second League - Group 2 |
| May 30, 2021 | Znamya Truda(home) | 3-0 | Second League - Group 2 |
| May 23, 2021 | Smolensk(away) | 0-1 | Second League - Group 2 |
| May 18, 2021 | Luki-Energiya(home) | 3-0 | Second League - Group 2 |
| May 11, 2021 | Leningradets(away) | 0-1 | Second League - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Chita wins, 0 draws, 1 Tver win.
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2020 | Tver 4-2 Chita | Second League - Group 2 |
How many goals should we expect?
Chita score 1.1 and concede 1.8 goals per match over their last 15; Tver score 1.5 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chita | 1.1 | 1.8 | 1 | 10/15 | 11/15 |
| Tver | 1.5 | 0.8 | 5 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Tver | 21 | 7 | 3 | 11 | 30 | 36 | 24 |
A question about Chita vs Tver?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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