KDV vs Sokol Kazan: prediction and stats
Second League - Group 4Group 4 - 22Kick-off on September 21, 2025 at 03:00 PM (UTC)
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, KDV have 6 wins, 4 draws and 5 defeats; Sokol Kazan have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2025 | Volna Nizhegorodskaya(away) | 1-1 | Second League - Group 4 |
| Sep 11, 2025 | Irkutsk(away) | 0-3 | Cup |
| Sep 7, 2025 | Akron II(home) | 0-2 | Second League - Group 4 |
| Aug 31, 2025 | Orenburg II(home) | 2-1 | Second League - Group 4 |
| Aug 24, 2025 | Chelyabinsk II(away) | 1-0 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2025 | Krylya Sovetov II(home) | 2-3 | Second League - Group 4 |
| Jun 29, 2025 | Akron II(away) | 0-3 | Second League - Group 4 |
| Jun 22, 2025 | Volna Nizhegorodskaya(away) | 0-2 | Second League - Group 4 |
| Jun 14, 2025 | KDV(home) | 1-0 | Second League - Group 4 |
| Jun 8, 2025 | Orenburg II(away) | 1-3 | Second League - Group 4 |
What does the head-to-head say?
In the last meeting: 0 KDV wins, 0 draws, 1 Sokol Kazan win.
| Date | Score | Competition |
|---|---|---|
| Jun 14, 2025 | Sokol Kazan 1-0 KDV | Second League - Group 4 |
How many goals should we expect?
KDV score 1.2 and concede 1.1 goals per match over their last 15; Sokol Kazan score 0.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KDV | 1.2 | 1.1 | 6 | 4/15 | 7/15 |
| Sokol Kazan | 0.8 | 1.7 | 4 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | KDV | 22 | 17 | 2 | 3 | 40 | 20 | 53 |
A question about KDV vs Sokol Kazan?
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