KAMAZ vs Ural: result 1-0 and analysis
CupGroup Stage - 4Kick-off on October 27, 2021 at 03:00 PM (UTC)Stadion KAMAZ, Naberezhnye Chelny
Full time
What was the result of KAMAZ vs Ural?
KAMAZ won 1-0 on October 27, 2021.
Goalscorers
- 90′T. MusaevKAMAZ
Official lineup for KAMAZ vs Ural
The starting elevens fielded at kick-off.
KAMAZ
- EE. Voronin
- RR. Yanushkovskiy
- AA. Gagloev
- YY. Kirillov
- SSergey Morozov
- II. Khomukha
- RR. Ayukin
- MM. Beveev
- CC. Magomadov
- EE. Teslenko
- OO. Baklov
Ural
- YY. Ibrahimaj
- MM. Ageev
- VV. Podberezkin
- BB. Jovičić
- YY. Zheleznov
- LL. Gagnidze
- VV. Rykov
- AArtem Mamin
- LL. Goglichidze
- AA. Adamov
- YY. Godzyur
What is the recent form of both teams?
Over their last 15 matches in all competitions, KAMAZ have 6 wins, 4 draws and 5 defeats; Ural have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Spartak Moscow 2(home) | 4-1 | First League |
| Oct 17, 2021 | Urozhay(away) | 0-1 | First League |
| Oct 13, 2021 | Enisey(home) | 1-1 | First League |
| Oct 9, 2021 | Torpedo Moskva(away) | 1-1 | First League |
| Oct 3, 2021 | Krasnodar 2(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Akhmat(away) | 0-1 | Premier League |
| Oct 17, 2021 | CSKA Moscow(home) | 0-1 | Premier League |
| Oct 11, 2021 | Krylia Sovetov(home) | 1-1 | Friendlies Clubs |
| Oct 3, 2021 | FC UFA(away) | 1-0 | Premier League |
| Sep 27, 2021 | Arsenal Tula(home) | 2-0 | Premier League |
How many goals should we expect?
KAMAZ score 1.1 and concede 0.9 goals per match over their last 15; Ural score 0.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KAMAZ | 1.1 | 0.9 | 5 | 5/15 | 5/15 |
| Ural | 0.6 | 1.1 | 5 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about KAMAZ vs Ural?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy