Mashuk-KMV vs Tekstilshchik: result 0-3 and analysis
Second League A - Spring Season SilverSpring Season Silver - 12Kick-off on May 4, 2024 at 01:00 PM (UTC)Central'nyj Stadion Mashuk, Pyatigorsk
Full time
What was the result of Mashuk-KMV vs Tekstilshchik?
Tekstilshchik won 0-3 on May 4, 2024.
Goalscorers
- 36′R. MachilovTekstilshchik (o.g.)
- 41′I. SelemenevTekstilshchik
- 74′A. SkvortsovTekstilshchik
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mashuk-KMV have 7 wins, 5 draws and 3 defeats; Tekstilshchik have 3, 9 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Torpedo Miass(away) | 0-0 | Second League A - Spring Season Silver |
| Apr 24, 2024 | Dinamo Bryansk(home) | 1-0 | Second League A - Spring Season Silver |
| Apr 20, 2024 | Spartak Kostroma(away) | 0-1 | Second League A - Spring Season Silver |
| Apr 13, 2024 | Avangard Kursk(home) | 2-1 | Second League A - Spring Season Silver |
| Apr 7, 2024 | Irtysh Omsk(away) | 1-0 | Second League A - Spring Season Silver |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2024 | Kaluga(away) | 1-4 | Second League A - Spring Season Silver |
| Apr 24, 2024 | Torpedo Miass(home) | 1-1 | Second League A - Spring Season Silver |
| Apr 20, 2024 | Volga Ulyanovsk(away) | 0-0 | Second League A - Spring Season Silver |
| Apr 13, 2024 | Spartak Kostroma(home) | 1-1 | Second League A - Spring Season Silver |
| Apr 7, 2024 | Avangard Kursk(away) | 1-1 | Second League A - Spring Season Silver |
How many goals should we expect?
Mashuk-KMV score 1.1 and concede 0.6 goals per match over their last 15; Tekstilshchik score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mashuk-KMV | 1.1 | 0.6 | 9 | 4/15 | 4/15 |
| Tekstilshchik | 1.0 | 1.0 | 5 | 9/15 | 5/15 |
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