Salyut-Belgorod vs Amkar: result 2-3 and analysis
Second League A - Division A SilverFall Season Silver - 8Kick-off on September 2, 2023 at 02:00 PM (UTC)Stadion Salyut Belgorod, Belgorod
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What was the result of Salyut-Belgorod vs Amkar?
Amkar won 2-3 on September 2, 2023.
Goalscorers
- 44′E. TyukalovAmkar
- 61′E. TyukalovAmkar
- 77′A. PodbeltsevAmkar
- 80′Ilya VinnikovSalyut-Belgorod
- 90′D. DegtevSalyut-Belgorod (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salyut-Belgorod have 6 wins, 2 draws and 7 defeats; Amkar have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2023 | Chelyabinsk(away) | 1-2 | Second League A - Division A Silver |
| Aug 23, 2023 | Avangard Kursk(home) | 2-0 | Cup |
| Aug 19, 2023 | Novosibirsk(home) | 1-2 | Second League A - Division A Silver |
| Aug 12, 2023 | Chertanovo Moscow(home) | 0-0 | Second League A - Division A Silver |
| Aug 5, 2023 | Rodina Moskva II(away) | 0-2 | Second League A - Division A Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2023 | Rodina Moskva II(home) | 0-0 | Second League A - Division A Silver |
| Aug 22, 2023 | Torpedo Miass(away) | 0-0 | Cup |
| Aug 19, 2023 | Avangard Kursk(away) | 1-1 | Second League A - Division A Silver |
| Aug 12, 2023 | Forte Taganrog(home) | 1-1 | Second League A - Division A Silver |
| Aug 5, 2023 | Tekstilshchik(away) | 0-1 | Second League A - Division A Silver |
How many goals should we expect?
Salyut-Belgorod score 1.3 and concede 0.8 goals per match over their last 15; Amkar score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salyut-Belgorod | 1.3 | 0.8 | 7 | 3/15 | 6/15 |
| Amkar | 1.1 | 1.1 | 6 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Amkar | 5 | 4 | 0 | 1 | 13 | 6 | 12 |
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