KDV vs Volna Nizhegorodskaya: result 5-0 and analysis
Second League - Group 4Group 4 - 9Kick-off on June 8, 2025 at 11:00 AM (UTC)Stadion Trud, Tomsk
Full time
What was the result of KDV vs Volna Nizhegorodskaya?
KDV won 5-0 on June 8, 2025.
Goalscorers
- 20′O. LeonovKDV
- 24′M. GashchenkovKDV
- 33′N. SimdyankinKDV (pen.)
- 40′N. SimdyankinKDV
- 48′D. StepanenkoKDV
What is the recent form of both teams?
Over their last 8 matches in all competitions, KDV have 3 wins, 3 draws and 2 defeats; Volna Nizhegorodskaya have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2025 | Akron II(away) | 3-1 | Second League - Group 4 |
| May 25, 2025 | Orenburg II(away) | 2-2 | Second League - Group 4 |
| May 18, 2025 | Chelyabinsk II(home) | 4-2 | Second League - Group 4 |
| May 11, 2025 | Dinamo Barnaul(away) | 0-0 | Second League - Group 4 |
| May 4, 2025 | Amkar(home) | 0-0 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2025 | Orenburg II(home) | 2-2 | Second League - Group 4 |
| May 26, 2025 | Chelyabinsk II(away) | 1-0 | Second League - Group 4 |
| May 18, 2025 | Dinamo Barnaul(home) | 1-1 | Second League - Group 4 |
| May 11, 2025 | Amkar(away) | 1-3 | Second League - Group 4 |
| May 4, 2025 | Ural II(home) | 1-0 | Second League - Group 4 |
How many goals should we expect?
KDV score 2.1 and concede 1.4 goals per match over their last 8; Volna Nizhegorodskaya score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KDV | 2.1 | 1.4 | 3 | 4/8 | 5/8 |
| Volna Nizhegorodskaya | 1.7 | 1.0 | 7 | 8/15 | 8/15 |
Over the last 8 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 |
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