SKA Khabarovsk II vs Znamya Truda: result 0-3 and analysis
Second League - Group 3Group 3 - 10Kick-off on May 31, 2025 at 04:00 AM (UTC)Stadion imeni V.I. Lenina, Khabarovsk
Full time
What was the result of SKA Khabarovsk II vs Znamya Truda?
Znamya Truda won 0-3 on May 31, 2025.
Goalscorers
- 26′T. ZhamaletdinovZnamya Truda
- 45′543616Znamya Truda
- 64′V. AgalakovZnamya Truda
What is the recent form of both teams?
Over their last 15 matches in all competitions, SKA Khabarovsk II have 5 wins, 1 draws and 9 defeats; Znamya Truda have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2025 | Strogino(home) | 3-4 | Second League - Group 3 |
| May 17, 2025 | FK Spartak Tambov(away) | 0-3 | Second League - Group 3 |
| May 10, 2025 | Rodina Moskva III(home) | 3-4 | Second League - Group 3 |
| May 4, 2025 | Ryazan(away) | 0-1 | Second League - Group 3 |
| Apr 27, 2025 | Khimki II(home) | 2-0 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2025 | FK Spartak Tambov(home) | 1-0 | Second League - Group 3 |
| May 17, 2025 | Rodina Moskva III(away) | 3-1 | Second League - Group 3 |
| May 10, 2025 | Ryazan(home) | 0-1 | Second League - Group 3 |
| May 3, 2025 | Khimki II(away) | 2-0 | Second League - Group 3 |
| Apr 27, 2025 | Orel(home) | 5-0 | Second League - Group 3 |
How many goals should we expect?
SKA Khabarovsk II score 1.7 and concede 1.9 goals per match over their last 15; Znamya Truda score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKA Khabarovsk II | 1.7 | 1.9 | 4 | 6/15 | 9/15 |
| Znamya Truda | 1.5 | 1.1 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | SKA Khabarovsk II | 20 | 7 | 2 | 11 | 29 | 36 | 23 |
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