KAMAZ vs Spartak Moscow: result 1-2 and analysis
Cup16th FinalsKick-off on September 25, 2019 at 03:30 PM (UTC)Stadion KAMAZ, Naberezhnye Chelny
Full time
What was the result of KAMAZ vs Spartak Moscow?
Spartak Moscow won 1-2 on September 25, 2019.
Goalscorers
- 21′E. PonceSpartak Moscow
- 24′D. KaraevKAMAZ (pen.)
- 76′E. PonceSpartak Moscow
Official lineup for KAMAZ vs Spartak Moscow
The starting elevens fielded at kick-off.
KAMAZ
- II. Stefanovich
- DD. Karaev
- EE. Voronin
- AA. Bocharov
- YY. Kirillov
- EE. Ushakov
- VVadim Cherny
- RR. Ayukin
- PPavel Evseev
- DD. Krivoruchko
- AA. Kobzev
Spartak Moscow
- 19E. Ponce
- 8G. Til
- 10Z. Bakaev
- 23J. Larsson
- 33A. Král
- 2S. Gigot
- 6Ayrton Lucas
- 14G. Dzhikiya
- 47R. Zobnin
- 92N. Rasskazov
- 32A. Rebrov
What is the recent form of both teams?
Over their last 3 matches in all competitions, KAMAZ have 2 wins, 1 draw and 0 defeats; Spartak Moscow have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2019 | FK Neftekhimik(home) | 2-0 | Cup |
| Aug 4, 2019 | Zvezda Perm(home) | 4-4 | Cup |
| Jul 28, 2019 | Delin Izhevsk(away) | 4-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2019 | FC UFA(away) | 0-1 | Premier League |
| Sep 14, 2019 | Ural(home) | 1-2 | Premier League |
| Sep 1, 2019 | Zenit(home) | 0-1 | Premier League |
| Aug 29, 2019 | SC Braga(home) | 1-2 | UEFA Europa League |
| Aug 25, 2019 | Krylia Sovetov(away) | 2-1 | Premier League |
How many goals should we expect?
KAMAZ score 3.3 and concede 1.3 goals per match over their last 3; Spartak Moscow score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KAMAZ | 3.3 | 1.3 | 2 | 1/3 | 2/3 |
| Spartak Moscow | 1.1 | 1.3 | 2 | 8/15 | 8/15 |
Over the last 3 matches in all competitions.
A question about KAMAZ vs Spartak Moscow?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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