Tekstilshchik vs Amkar: result 1-0 and analysis
Second League A - Division A SilverFall Season Silver - 4Kick-off on August 5, 2023 at 01:00 PM (UTC)Stadion Tekstilshchik, Ivanovo
Full time
What was the result of Tekstilshchik vs Amkar?
Tekstilshchik won 1-0 on August 5, 2023.
Goalscorers
- 33′N. SimdyankinTekstilshchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tekstilshchik have 3 wins, 6 draws and 6 defeats; Amkar have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2023 | Chelyabinsk(away) | 1-1 | Second League A - Division A Silver |
| Jul 22, 2023 | Novosibirsk(home) | 0-0 | Second League A - Division A Silver |
| Jul 16, 2023 | Salyut-Belgorod(away) | 0-4 | Second League A - Division A Silver |
| Jul 4, 2023 | Nizhny Novgorod(away) | 0-2 | Friendlies Clubs |
| Jun 10, 2023 | Zorkiy(away) | 0-1 | Second League - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 29, 2023 | Metallurg Lipetsk(home) | 0-0 | Second League A - Division A Silver |
| Jul 22, 2023 | Chertanovo Moscow(away) | 2-0 | Second League A - Division A Silver |
| Jul 16, 2023 | Chelyabinsk(away) | 1-0 | Second League A - Division A Silver |
| Jul 1, 2023 | Zenit Izhevsk(away) | 0-0 | Friendlies Clubs |
| Jun 27, 2023 | KAMAZ(away) | 4-1 | Friendlies Clubs |
How many goals should we expect?
Tekstilshchik score 1.0 and concede 1.3 goals per match over their last 15; Amkar score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tekstilshchik | 1.0 | 1.3 | 3 | 7/15 | 5/15 |
| Amkar | 1.3 | 1.1 | 6 | 7/15 | 5/15 |
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