Náutico vs Brusque — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
0Goals0
50Possession %50
0.00xG0.00
10Total Shots17
0Shots on Target3
63Dangerous Attacks60
7Corners4
Head to Head
3 matches
2Náutico
1Draws
0Brusque
League Standings
Brusque2/20
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | Paysandu | 6 | 4 | 2 | 0 | 13:6 | 14 | WWW |
| 2 | Brusque | 6 | 4 | 2 | 0 | 12:6 | 14 | WDW |
| 3 | Amazonas | 6 | 4 | 1 | 1 | 8:2 | 13 | WDL |
| 4 | Guarani | 6 | 3 | 3 | 0 | 12:4 | 12 | DWW |
| 5 | Ypiranga Erechim | 6 | 3 | 1 | 2 | 9:7 | 10 | LWL |
| 6 | Ituano | 6 | 3 | 1 | 2 | 8:7 | 10 | WLW |
| 7 | Maranhão | 6 | 3 | 1 | 2 | 8:9 | 10 | WWW |
| 8 | Barra FC | 6 | 2 | 3 | 1 | 9:4 | 9 | DWD |
| 9 | Floresta | 6 | 2 | 3 | 1 | 6:5 | 9 | WLD |
| 10 | Maringá | 6 | 3 | 0 | 3 | 13:17 | 9 | LWL |
| 11 | Inter de Limeira | 6 | 2 | 2 | 2 | 8:8 | 8 | DWL |
| 12 | Caxias | 6 | 2 | 2 | 2 | 5:5 | 8 | WDD |
| 13 | Santa Cruz | 6 | 2 | 1 | 3 | 4:5 | 7 | LLW |
| 14 | Figueirense | 6 | 2 | 1 | 3 | 6:11 | 7 | LLW |
| 15 | Ferroviária | 6 | 1 | 3 | 2 | 5:7 | 6 | DWD |
| 16 | Botafogo PB | 6 | 2 | 0 | 4 | 8:11 | 6 | LLL |
| 17 | Volta Redonda | 6 | 1 | 2 | 3 | 3:6 | 5 | LDD |
| 18 | Confiança | 6 | 1 | 0 | 5 | 2:6 | 3 | LLL |
| 19 | Anápolis | 6 | 1 | 0 | 5 | 5:11 | 3 | WLL |
| 20 | Itabaiana | 6 | 0 | 2 | 4 | 5:12 | 2 | LLD |
Performance Radar
Náutico
BrusqueMetric
Home
Away
Possession
50%
50%
xG
0.00
0.00
Shots on Target
0
3
Danger. Attacks
63
60
Corners
7
4
Upcoming in Serie C
League →
Recent results in Serie C
League →- 16 May
Floresta3 – 2Amazonas
- 16 May
Figueirense0 – 1Itabaiana
- 16 May
Ypiranga Erechim1 – 4Maringá
- 16 May
Santa Cruz2 – 0Volta Redonda
- 11 May
Inter de Limeira1 – 2Santa Cruz
- 11 May
Maringá0 – 5Guarani
- 10 May
Brusque3 – 0Ypiranga Erechim
- 10 May
Ituano1 – 0Confiança
- 10 May
Amazonas0 – 1Figueirense
- 10 May
Barra FC0 – 0Caxias
Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.
