Table:
Club

Season

League

Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Grêmio

2013[7]

Série A

0
0
0
0
4[a]
0
4
0

Oeste (loan)

2012[7]

Paulista A1

0
0
0
0
2[b]
0
2
0

Red Bull Brasil (loan)

2014[7]

Série D

0
0
0
0
8[b]
1
8
1

Atenas (loan)

2014–15[7]

Primera División

26
1
0
0
—
26
1

Red Bull Brasil (loan)

2015[7]

Série D

8
0
0
0
0
0
8
0

2016[7]

Série D

0
0
1
0
2[b]
0
3
0

Total

8
0
1
0
2
0
11
0

Mumbai City

2016[7]

Indian Super League

14
1
—
—
14
1

Atlético Tubarão

2017[7]

Catarinense A1

—
0
0
14
1
14
1

Mumbai City

2017–18[7]

Indian Super League

17
0
0
0
—
17
0

Renofa Yamaguchi

2018[7]

J2 League

4
0
0
0
—
4
0

ATK

2018–19[7]

Indian Super League

4
0
0
0
—
4
0

Career total

73
2
1
0
30
2
104
4

Here's what I need you to do:
In the image of this table, identify all the merged cells. Provide the coordinates of these merged regions in the JSON {'top-left':(x, y), 'bottom-right':(m, n)}, with '(x, y)' and '(m, n)' indicating the (row_id, column_id) of the top-left and bottom-right cells, respectively. Remember, row and column numbering starts at 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':(6, 8), 'bottom-right':(6, 9)}
{'top-left':(7, 1), 'bottom-right':(9, 1)}
{'top-left':(9, 2), 'bottom-right':(9, 3)}
{'top-left':(10, 6), 'bottom-right':(10, 7)}
{'top-left':(11, 4), 'bottom-right':(11, 5)}
{'top-left':(12, 8), 'bottom-right':(12, 9)}
{'top-left':(13, 8), 'bottom-right':(13, 9)}
{'top-left':(14, 8), 'bottom-right':(14, 9)}
{'top-left':(15, 1), 'bottom-right':(15, 3)}.