Chayka vs Mashuk-KMV: result 2-0 and analysis
Second League - Group 1Group 1 - 20Kick-off on March 18, 2023 at 12:00 PM (UTC)Stadion Central’nyj im. I.P. Chayka, Peschanokopskoye
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What was the result of Chayka vs Mashuk-KMV?
Chayka won 2-0 on March 18, 2023.
Goalscorers
- 17′M. KolmakovChayka
- 90′N. KoldunovChayka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chayka have 10 wins, 4 draws and 1 defeats; Mashuk-KMV have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | SKA Rostov(home) | 0-0 | Second League - Group 1 |
| Feb 19, 2023 | Khimik Dzerzhinsk(away) | 1-0 | Friendlies Clubs |
| Feb 15, 2023 | Tver(away) | 5-0 | Friendlies Clubs |
| Feb 9, 2023 | Rodina Moskva(away) | 2-1 | Friendlies Clubs |
| Feb 5, 2023 | Akhmat(away) | 2-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Kuban Kholding(home) | 1-1 | Second League - Group 1 |
| Jan 30, 2023 | Saturn Ramenskoye(away) | 2-3 | Friendlies Clubs |
| Jan 27, 2023 | Kolomna(away) | 4-4 | Friendlies Clubs |
| Jan 24, 2023 | Elektron VN(away) | 3-1 | Friendlies Clubs |
| Nov 13, 2022 | SKA Rostov(away) | 0-2 | Second League - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 Chayka win(s), 2 draw(s), 0 Mashuk-KMV win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2022 | Mashuk-KMV 0-0 Chayka | Second League - Group 1 |
| Apr 3, 2022 | Mashuk-KMV 0-0 Chayka | Second League - Group 1 |
| Sep 8, 2021 | Chayka 3-0 Mashuk-KMV | Second League - Group 1 |
How many goals should we expect?
Chayka score 1.7 and concede 0.5 goals per match over their last 15; Mashuk-KMV score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 1.7 | 0.5 | 10 | 5/15 | 7/15 |
| Mashuk-KMV | 1.3 | 1.8 | 3 | 7/15 | 7/15 |
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