Londrina vs Caxias — Statistical Analysis, Historical Data & AI Match Projections
Match Statistics
1Goals1
45Possession %55
0.00xG0.00
18Total Shots12
7Shots on Target3
91Dangerous Attacks77
8Corners1
Head to Head
3 matches
1Londrina
1Draws
1Caxias
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
Londrina
CaxiasMetric
Home
Away
Possession
45%
55%
xG
0.00
0.00
Shots on Target
7
3
Danger. Attacks
91
77
Corners
8
1
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.
