Metallurg Lipetsk vs Znamya Truda: result 0-1 and analysis
Second League - Group 3Group 3 - 15Kick-off on July 4, 2025 at 03:00 PM (UTC)Stadion Metallurg, Lipetsk
Full time
What was the result of Metallurg Lipetsk vs Znamya Truda?
Znamya Truda won 0-1 on July 4, 2025.
Goalscorers
- 23′V. AgalakovZnamya Truda
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metallurg Lipetsk have 10 wins, 1 draws and 4 defeats; Znamya Truda have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2025 | SKA Khabarovsk II(home) | 2-1 | Second League - Group 3 |
| Jun 21, 2025 | FK Spartak Tambov(home) | 2-1 | Second League - Group 3 |
| Jun 15, 2025 | Rodina Moskva III(away) | 2-0 | Second League - Group 3 |
| Jun 7, 2025 | Ryazan(home) | 0-0 | Second League - Group 3 |
| May 24, 2025 | Orel(home) | 2-0 | Second League - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2025 | Rotor-2(home) | 2-0 | Second League - Group 3 |
| Jun 21, 2025 | Zenit Penza(away) | 2-0 | Second League - Group 3 |
| Jun 15, 2025 | Salyut-Belgorod(home) | 2-0 | Second League - Group 3 |
| Jun 7, 2025 | Strogino(home) | 2-3 | Second League - Group 3 |
| May 31, 2025 | SKA Khabarovsk II(away) | 3-0 | Second League - Group 3 |
How many goals should we expect?
Metallurg Lipetsk score 1.5 and concede 0.7 goals per match over their last 15; Znamya Truda score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metallurg Lipetsk | 1.5 | 0.7 | 7 | 5/15 | 7/15 |
| Znamya Truda | 2.0 | 0.7 | 9 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Metallurg Lipetsk | 20 | 11 | 5 | 4 | 40 | 23 | 38 |
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