Table:
Club

Season

League

FA Cup

League Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Liverpool

2008–09[34]

Premier League

0
0
0
0
1
0
2[a]
0
3
0

2009–10[35]

1
0
1
0
0
0
1[a]
0
3
0

2010–11[36]

0
0
0
0
0
0
1[b]
0
1
0

Total

1
0
1
0
1
0
4
0
7
0

Swindon Town (loan)

2009–10[35]

League One

14
0
0
0
0
0
1[c]
0
15
0

Notts County (loan)

2010–11[36]

League One

22
0
2
0
0
0
0
0
24
0

Rochdale (loan)

2011–12[37]

League One

35
0
0
0
3
0
2[d]
0
40
0

Bradford City

2012–13[38]

League Two

35
0
3
0
8
1
5[e]
0
51
1

2013–14[39]

League One

46
0
1
0
1
0
1[d]
0
49
0

2014–15[40]

League One

45
0
8
0
2
0
1[d]
0
56
0

2015–16[41]

League One

46
0
5
0
0
0
3[f]
0
54
0

2016–17[42]

League One

22
0
1
0
0
0
6[g]
0
29
0

Total

194
0
18
0
11
1
16
0
239
1

Bolton Wanderers

2017–18

Championship

3
0
0
0
2
0
0
0
5
0

Career total

267
0
21
0
17
1
23
0
328
1

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':(m, n)}, where '(x, y)' and '(m, n)' 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':(3, 1), 'bottom-right':(6, 1)}
{'top-left':(3, 3), 'bottom-right':(5, 3)}
{'top-left':(6, 2), 'bottom-right':(6, 3)}
{'top-left':(10, 1), 'bottom-right':(15, 1)}
{'top-left':(15, 2), 'bottom-right':(15, 3)}
{'top-left':(17, 1), 'bottom-right':(17, 3)}.