Forte Taganrog vs Metallurg Lipetsk: result 1-3 and analysis
Second League A - Division A SilverFall Season Silver - 6Kick-off on August 19, 2023 at 03:00 PM (UTC)Forte Arena Taganrog, Taganrog
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What was the result of Forte Taganrog vs Metallurg Lipetsk?
Metallurg Lipetsk won 1-3 on August 19, 2023.
Goalscorers
- 54′S. MosiyanMetallurg Lipetsk
- 57′N. MuromskiyForte Taganrog
- 70′D. SeminMetallurg Lipetsk
- 90′R. YanushkovskiyMetallurg Lipetsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Forte Taganrog have 2 wins, 7 draws and 6 defeats; Metallurg Lipetsk have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2023 | Amkar(away) | 1-1 | Second League A - Division A Silver |
| Aug 5, 2023 | Chelyabinsk(home) | 2-2 | Second League A - Division A Silver |
| Jul 29, 2023 | Novosibirsk(away) | 0-1 | Second League A - Division A Silver |
| Jul 22, 2023 | Salyut-Belgorod(home) | 1-0 | Second League A - Division A Silver |
| Jul 16, 2023 | Rodina Moskva II(away) | 1-2 | Second League A - Division A Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2023 | Tekstilshchik(home) | 1-1 | Second League A - Division A Silver |
| Aug 5, 2023 | Chertanovo Moscow(away) | 0-3 | Second League A - Division A Silver |
| 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 |
How many goals should we expect?
Forte Taganrog score 0.8 and concede 1.2 goals per match over their last 15; Metallurg Lipetsk score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Forte Taganrog | 0.8 | 1.2 | 5 | 7/15 | 5/15 |
| Metallurg Lipetsk | 1.1 | 1.4 | 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