Mashuk-KMV vs Chernomorets: prediction and stats
Second League - Group 1Group 1 - 2Kick-off on August 1, 2021 at 12:00 AM (UTC)Central'nyj Stadion Mashuk, Pyatigorsk
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mashuk-KMV have 3 wins, 5 draws and 7 defeats; Chernomorets have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2021 | Anzhi(away) | 0-0 | Cup |
| Jul 24, 2021 | Dinamo Stavropol(away) | 1-1 | Second League - Group 1 |
| Jul 18, 2021 | Essentuki(home) | 4-0 | Cup |
| Jul 14, 2021 | Zenit U19(home) | 3-0 | Friendlies Clubs |
| Jul 13, 2021 | Chayka(home) | 0-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2021 | Biolog(home) | 0-3 | Cup |
| Jul 3, 2021 | Krasnodar 2(away) | 0-1 | Friendlies Clubs |
| Jun 15, 2021 | Legion Dynamo(home) | 2-1 | Second League - Group 1 |
| Jun 9, 2021 | SKA Rostov(away) | 3-2 | Second League - Group 1 |
| Jun 2, 2021 | Druzhba(home) | 5-0 | Second League - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Mashuk-KMV wins, 0 draws, 2 Chernomorets wins.
| Date | Score | Competition |
|---|---|---|
| May 21, 2021 | Chernomorets 3-0 Mashuk-KMV | Second League - Group 1 |
| Nov 7, 2020 | Mashuk-KMV 0-1 Chernomorets | Second League - Group 1 |
Last archived meeting: Chernomorets vs Mashuk-KMV on May 21, 2021
How many goals should we expect?
Mashuk-KMV score 1.3 and concede 1.5 goals per match over their last 15; Chernomorets score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mashuk-KMV | 1.3 | 1.5 | 4 | 7/15 | 10/15 |
| Chernomorets | 1.9 | 0.8 | 6 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Mashuk-KMV vs Chernomorets?
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