Chernomorets vs Tuapse: result 1-0 and analysis
Second League - Group 1Group 1 - 13Kick-off on October 31, 2020 at 12:30 PM (UTC)Stadion Central'nyj, Novorossiysk
Full time
What was the result of Chernomorets vs Tuapse?
Chernomorets won 1-0 on October 31, 2020.
Goalscorers
- 56′A. AntonovChernomorets
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chernomorets have 8 wins, 2 draws and 5 defeats; Tuapse have 1, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Inter Cherkessk(away) | 5-0 | Second League - Group 1 |
| Oct 18, 2020 | Urozhay(home) | 1-2 | Second League - Group 1 |
| Oct 11, 2020 | Dinamo Makhachkala(away) | 4-1 | Second League - Group 1 |
| Oct 4, 2020 | Dinamo Stavropol(home) | 1-0 | Second League - Group 1 |
| Sep 30, 2020 | Ska-khabarovsk(home) | 1-3 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Biolog(home) | 3-2 | Second League - Group 1 |
| Oct 22, 2020 | Krasnodar III(away) | 3-5 | Second League - Group 1 |
| Oct 19, 2020 | Essentuki(away) | 4-4 | Second League - Group 1 |
| Oct 11, 2020 | Kuban Kholding(home) | 1-5 | Second League - Group 1 |
| Sep 27, 2020 | Legion Dynamo(home) | 0-3 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Chernomorets win(s), 0 draw(s), 0 Tuapse win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 21, 2020 | Chernomorets 5-0 Tuapse | Friendlies Clubs |
Last archived meeting: Chernomorets vs Tuapse on Jul 21, 2020
How many goals should we expect?
Chernomorets score 1.9 and concede 1.1 goals per match over their last 15; Tuapse score 1.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernomorets | 1.9 | 1.1 | 6 | 7/15 | 8/15 |
| Tuapse | 1.3 | 3.5 | 0 | 9/13 | 11/13 |
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