Krasnodar III vs Tuapse: result 5-3 and analysis
Second League - Group 1Group 1 - 9Kick-off on October 22, 2020 at 11:30 AM (UTC)Stadion Akademii FK Krasnodar, Krasnodar
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What was the result of Krasnodar III vs Tuapse?
Krasnodar III won 5-3 on October 22, 2020.
Goalscorers
- 17′R. SimonovKrasnodar III
- 36′S. TskanjyanTuapse (pen.)
- 38′D. IvanovKrasnodar III
- 45′S. MavlyanovKrasnodar III
- 80′Anatoli KatrichKrasnodar III
- 82′Igor ZaporozhtsevTuapse
- 83′R. SimonovKrasnodar III
- 90′I. KudryashovTuapse
What is the recent form of both teams?
Over their last 10 matches in all competitions, Krasnodar III have 2 wins, 2 draws and 6 defeats; Tuapse have 0, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2020 | Forte Taganrog(home) | 1-3 | Second League - Group 1 |
| Oct 11, 2020 | Mashuk-KMV(away) | 0-3 | Second League - Group 1 |
| Sep 27, 2020 | Inter Cherkessk(away) | 1-1 | Second League - Group 1 |
| Sep 19, 2020 | Urozhay(home) | 0-1 | Second League - Group 1 |
| Sep 13, 2020 | Dinamo Makhachkala(away) | 2-4 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 21, 2020 | SKA Rostov(home) | 1-1 | Second League - Group 1 |
| Sep 14, 2020 | Druzhba(home) | 1-2 | Second League - Group 1 |
How many goals should we expect?
Krasnodar III score 1.0 and concede 1.9 goals per match over their last 10; Tuapse score 1.0 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krasnodar III | 1.0 | 1.9 | 1 | 6/10 | 5/10 |
| Tuapse | 1.0 | 3.5 | 0 | 7/11 | 9/11 |
Over the last 10 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