Caxias vs Londrina — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
4Goals2
47Possession %53
0.00xG0.00
12Total Shots16
7Shots on Target4
69Dangerous Attacks46
3Corners4
Head to Head
3 matches
1Caxias
1Draws
1Londrina
League Standings
Caxias12/20
| # | 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
Caxias
LondrinaMetric
Home
Away
Possession
47%
53%
xG
0.00
0.00
Shots on Target
7
4
Danger. Attacks
69
46
Corners
3
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.
