Chertanovo Moscow vs Metallurg Lipetsk: result 3-0 and analysis
Second League A - Division A SilverFall Season Silver - 4Kick-off on August 5, 2023 at 10:00 AM (UTC)Arena Chertanovo, Moskva
Full time
What was the result of Chertanovo Moscow vs Metallurg Lipetsk?
Chertanovo Moscow won 3-0 on August 5, 2023.
Goalscorers
- 33′P. PopovChertanovo Moscow
- 67′P. PopovChertanovo Moscow
- 69′M. YakimenkoChertanovo Moscow
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chertanovo Moscow have 6 wins, 4 draws and 5 defeats; Metallurg Lipetsk have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2023 | Rodina Moskva II(away) | 0-2 | Second League A - Division A Silver |
| Jul 22, 2023 | Amkar(home) | 0-2 | Second League A - Division A Silver |
| Jul 16, 2023 | Avangard Kursk(away) | 1-2 | Second League A - Division A Silver |
| Jun 10, 2023 | Baltika BFU(home) | 0-1 | Second League - Group 2 |
| Jun 4, 2023 | Zvezda St. Petersburg(away) | 1-0 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2023 | Amkar(away) | 0-0 | Second League A - Division A Silver |
| Jul 22, 2023 | Chelyabinsk(home) | 1-0 | Second League A - Division A Silver |
| Jul 16, 2023 | Novosibirsk(away) | 0-1 | Second League A - Division A Silver |
| Jun 10, 2023 | Kaluga(away) | 2-5 | Second League - Group 3 |
| Jun 4, 2023 | Kosmos Dolgoprudny(home) | 2-0 | Second League - Group 3 |
How many goals should we expect?
Chertanovo Moscow score 1.7 and concede 1.1 goals per match over their last 15; Metallurg Lipetsk score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chertanovo Moscow | 1.7 | 1.1 | 4 | 8/15 | 7/15 |
| Metallurg Lipetsk | 1.2 | 1.3 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
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