Table:
Club

Season

League

Cup

Continental

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Corinthians

2011

Série A

0
0
0
0
0
0
0
0
0
0

2012

8
0
0
0
0
0
1[a]
0
9
0

2013

2
0
0
0
0
0
6[a]
0
8
0

Total

10
0
0
0
0
0
7
0
17
0

Portuguesa

2013

Série A

13
0
0
0
2[b]
0
0
0
15
0

Chapecoense

2014

2
0
1
0
0
0
13[c]
1
15
1

Atlético Goianiense

2014

Série B

13
0
0
0
0
0
0
0
13
0

Botafogo

2015

35
5
4
1
0
0
19[d]
1
58
7

Flamengo

2016

Série A

37
4
4
0
2[b]
0
19[e]
3
62
7

2017

30
1
6
0
16[f]
4
15[g]
4
67
9

2018

23
2
3
0
3[h]
0
3[d]
0
32
2

2019

0
0
0
0
0
0
0
0
0
0

Total

90
7
12
0
21
4
36
7
161
18

Career total

148
10
16
0
23
4
75
9
262
26

Examine the table in this image and extract any merged cell areas. Please format the merged cell areas as JSON {'top-left':(A, B), 'bottom-right':(C, D)}, with (A, B) indicating the (row_id, column_id) of the top-left cell and (C, D) the bottom-right cell in the merged regions. Remember that the A, B, C, D all start from 1.

The merged cell areas are as follows:
{'top-left':(1, 1), 'bottom-right':(2, 1)}
{'top-left':(1, 2), 'bottom-right':(2, 2)}
{'top-left':(1, 3), 'bottom-right':(1, 5)}
{'top-left':(1, 6), 'bottom-right':(1, 7)}
{'top-left':(1, 8), 'bottom-right':(1, 9)}
{'top-left':(1, 10), 'bottom-right':(1, 11)}
{'top-left':(1, 12), 'bottom-right':(1, 13)}
{'top-left':(3, 1), 'bottom-right':(6, 1)}
{'top-left':(3, 3), 'bottom-right':(5, 3)}
{'top-left':(6, 2), 'bottom-right':(6, 3)}
{'top-left':(7, 3), 'bottom-right':(8, 3)}
{'top-left':(9, 3), 'bottom-right':(10, 3)}
{'top-left':(11, 1), 'bottom-right':(15, 1)}
{'top-left':(11, 3), 'bottom-right':(14, 3)}
{'top-left':(15, 2), 'bottom-right':(15, 3)}
{'top-left':(16, 1), 'bottom-right':(16, 3)}.