Shinnik Yaroslavl vs KAMAZ: result 1-0 and analysis
First LeagueRegular Season - 15Kick-off on October 23, 2022 at 01:00 PM (UTC)Stadion Shinnik, Yaroslavl'
Full time
What was the result of Shinnik Yaroslavl vs KAMAZ?
Shinnik Yaroslavl won 1-0 on October 23, 2022.
Goalscorers
- 79′E. NizamutdinovShinnik Yaroslavl
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shinnik Yaroslavl have 5 wins, 4 draws and 6 defeats; KAMAZ have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Volgar Astrakhan(away) | 0-1 | First League |
| Oct 9, 2022 | Veles(home) | 2-0 | First League |
| Oct 5, 2022 | Rotor Volgograd(away) | 1-1 | Cup |
| Oct 1, 2022 | Alaniya Vladikavkaz(away) | 1-3 | First League |
| Sep 25, 2022 | Rubin(home) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2022 | Enisey(home) | 1-0 | First League |
| Oct 9, 2022 | Volgar Astrakhan(away) | 0-0 | First League |
| Oct 5, 2022 | Zenit Izhevsk(away) | 1-0 | Cup |
| Oct 1, 2022 | Rodina Moskva(home) | 2-0 | First League |
| Sep 25, 2022 | Veles(away) | 1-1 | First League |
How many goals should we expect?
Shinnik Yaroslavl score 1.1 and concede 1.1 goals per match over their last 15; KAMAZ score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shinnik Yaroslavl | 1.1 | 1.1 | 4 | 8/15 | 5/15 |
| KAMAZ | 1.4 | 0.7 | 9 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Shinnik Yaroslavl sit 6th in First League (12 points from 7 matches) and KAMAZ sit 18th (2 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Shinnik Yaroslavl | 7 | 3 | 3 | 1 | 12 | 9 | 12 |
| 18 | KAMAZ | 7 | 0 | 2 | 5 | 6 | 13 | 2 |
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