Tuapse vs Spartak Nalchik: result 0-4 and analysis
Second League - Group 1Group 1 - 14Kick-off on November 7, 2020 at 11:00 AM (UTC)Stadion Vodnik, Tuapse
Full time
What was the result of Tuapse vs Spartak Nalchik?
Spartak Nalchik won 0-4 on November 7, 2020.
Goalscorers
- 29′A. KhachirovSpartak Nalchik
- 36′A. BaksanokovSpartak Nalchik
- 45′Albert BogatyrevSpartak Nalchik
- 59′A. KhachirovSpartak Nalchik
What is the recent form of both teams?
Over their last 14 matches in all competitions, Tuapse have 1 wins, 2 draws and 11 defeats; Spartak Nalchik have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Chernomorets(away) | 0-1 | Second League - Group 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 31, 2020 | Inter Cherkessk(home) | 3-0 | Second League - Group 1 |
| Oct 26, 2020 | Urozhay(away) | 2-2 | Second League - Group 1 |
| Oct 18, 2020 | Dinamo Makhachkala(home) | 3-2 | Second League - Group 1 |
| Oct 11, 2020 | Dinamo Stavropol(away) | 1-4 | Second League - Group 1 |
| Oct 4, 2020 | Anzhi(home) | 1-1 | Second League - Group 1 |
How many goals should we expect?
Tuapse score 1.2 and concede 3.4 goals per match over their last 14; Spartak Nalchik score 2.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tuapse | 1.2 | 3.4 | 0 | 9/14 | 11/14 |
| Spartak Nalchik | 2.0 | 1.4 | 6 | 7/15 | 9/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Spartak Nalchik | 18 | 7 | 7 | 4 | 27 | 18 | 28 |
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