KAMAZ vs Chelyabinsk: result 3-1 and analysis
Second League - Group 4Group 4 - 17Kick-off on April 4, 2021 at 11:00 AM (UTC)Stadion KAMAZ, Naberezhnye Chelny
Full time
What was the result of KAMAZ vs Chelyabinsk?
KAMAZ won 3-1 on April 4, 2021.
Goalscorers
- 63′A. KulikovKAMAZ
- 67′R. OsmanovKAMAZ
- 77′Pavel KryzhevskikhChelyabinsk (pen.)
- 90′Ruslan GaliakberovKAMAZ
What is the recent form of both teams?
Over their last 15 matches in all competitions, KAMAZ have 8 wins, 2 draws and 5 defeats; Chelyabinsk have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2020 | Zenit Izhevsk(home) | 3-1 | Second League - Group 4 |
| Oct 31, 2020 | Volna Nizhegorodskaya(away) | 3-1 | Second League - Group 4 |
| Oct 25, 2020 | Volga Ulyanovsk(home) | 1-3 | Second League - Group 4 |
| Oct 18, 2020 | Chelyabinsk(away) | 3-0 | Second League - Group 4 |
| Oct 13, 2020 | Ural II(home) | 2-3 | Second League - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2020 | Ural II(away) | 1-0 | Second League - Group 4 |
| Nov 5, 2020 | Ural II(home) | 2-1 | Second League - Group 4 |
| Oct 31, 2020 | Lada Tolyatti(home) | 7-0 | Second League - Group 4 |
| Oct 25, 2020 | Lada Dimitrovgrad(away) | 1-1 | Second League - Group 4 |
| Oct 18, 2020 | KAMAZ(home) | 0-3 | Second League - Group 4 |
What does the head-to-head say?
Across the last 1 meetings: 1 KAMAZ win(s), 0 draw(s), 0 Chelyabinsk win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2020 | Chelyabinsk 0-3 KAMAZ | Second League - Group 4 |
How many goals should we expect?
KAMAZ score 2.2 and concede 1.2 goals per match over their last 15; Chelyabinsk score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KAMAZ | 2.2 | 1.2 | 4 | 9/15 | 12/15 |
| Chelyabinsk | 2.3 | 0.9 | 7 | 6/15 | 11/15 |
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