Table:
Appearances and goals by club, season and competition

Club

Season

League

FA Cup

League Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Colchester United

2014–15[2]

League One

0
0
0
0
0
0
0
0
0
0

Welling United

2015–16[2][14]

National League

38
1
3
0
—
1[a]
0
42
1

Maidstone United

2016–17[2][21]

National League

41
4
3
0
—
2[a]
0
46
4

Stevenage

2017–18[29]

League Two

2
0
—
0
0
0
0
2
0

Dagenham & Redbridge (loan)

2017–18[2][29]

National League

25
2
2
0
—
1[a]
0
28
2

Dover Athletic (loan)

2017–18[2][29]

National League

12
1
—
—
—
12
1

Dover Athletic

2018–19[40][41]

National League

28
6
2
0
—
1[a]
0
31
6

Total

40
7
2
0
—
1
0
43
7

Career total

146
14
10
0
0
0
5
0
161
14

The task is as follows:
Analyze the table in this image to find every merged cell. Return the regions of these merged cells in the JSON {'top-left':(x, y), 'bottom-right':(z, w)}, where '(x, y)' and '(z, w)' show the (row_id, column_id) of the top-left and bottom-right cells in these regions, respectively. The row and column IDs 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':(4, 8), 'bottom-right':(4, 9)}
{'top-left':(5, 8), 'bottom-right':(5, 9)}
{'top-left':(6, 6), 'bottom-right':(6, 7)}
{'top-left':(7, 8), 'bottom-right':(7, 9)}
{'top-left':(8, 6), 'bottom-right':(8, 7)}
{'top-left':(9, 1), 'bottom-right':(10, 1)}
{'top-left':(9, 8), 'bottom-right':(9, 9)}
{'top-left':(10, 2), 'bottom-right':(10, 3)}
{'top-left':(10, 8), 'bottom-right':(10, 9)}
{'top-left':(11, 1), 'bottom-right':(11, 3)}.