Table:
Club

Season

League

National Cup

League Cup

Other[A]

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Manchester City

2003–04

Premier League
2
0
0
0
0
0
0
0
2
0

Manchester City Total

2
0
0
0
0
0
0
0
2
0

Sunderland

2004–05

Championship
42
15
2
0
2
1
0
0
46
16

2005–06

Premier League
15
2
0
0
1
0
0
0
16
2

2006–07

Championship
24
5
1
0
1
0
0
0
26
5

Sunderland Total

81
22
3
0
4
1
0
0
88
23

Wolverhampton Wanderers

2007–08

Championship
29
4
2
1
0
0
0
0
31
5

2008–09

Championship
0
0
0
0
1
0
0
0
1
0

Wolverhampton Wanderers Total

29
4
2
1
1
0
0
0
32
5

Preston North End

2008–09

Championship
37
6
1
0
0
0
1
0
39
6

2009–10

Championship
9
1
1
0
3
1
0
0
13
2

Norwich City (loan)

2009–10

League One
10
2
0
0
0
0
0
0
10
2

Preston North End Total

46
7
2
0
3
1
1
0
52
8

Heart of Midlothian

2010–11

Scottish Premier League
30
8
1
0
0
0
0
0
31
8

2011–12

Scottish Premier League
26
3
5
0
0
0
3
0
34
3

Heart of Midlothian Total

56
11
6
0
0
0
3
0
65
11

Coventry City

2012–13

League One
18
4
0
0
3
0
4
0
25
4

Coventry City Total

18
4
0
0
3
0
4
0
25
4

Carlisle United

2014–15

League Two
15
1
0
0
1
0
2
0
18
1

Carlisle United Total

15
1
0
0
1
0
2
0
18
1

Shelbourne

2016

League of Ireland First Division
6
0
0
0
1
0
0
0
7
0

Shelbourne Total

6
0
0
0
1
0
0
0
7
0

Drogheda United

2017

League of Ireland Premier Division
19
2
0
0
1
0
1
0
21
2

Drogheda United Total

19
2
0
0
1
0
1
0
21
2

Morpeth Town

2017–18

Northern Football League Division One
0
0
0
0
0
0
0
0
0
0

Morpeth Town Total

0
0
0
0
0
0
0
0
0
0

Career Total

282
53
13
1
14
2
11
0
321
56

Examine the table in this image and extract any merged cell areas. Please format the merged cell areas as JSON {'top-left':(x, y), 'bottom-right':(m, n)}, with (x, y) indicating the (row_id, column_id) of the top-left cell and (m, n) the bottom-right cell in the merged regions. Remember that the x, y, m, n 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':(4, 1), 'bottom-right':(4, 3)}
{'top-left':(5, 1), 'bottom-right':(7, 1)}
{'top-left':(8, 1), 'bottom-right':(8, 3)}
{'top-left':(9, 1), 'bottom-right':(10, 1)}
{'top-left':(11, 1), 'bottom-right':(11, 3)}
{'top-left':(12, 1), 'bottom-right':(13, 1)}
{'top-left':(15, 1), 'bottom-right':(15, 3)}
{'top-left':(16, 1), 'bottom-right':(17, 1)}
{'top-left':(18, 1), 'bottom-right':(18, 3)}
{'top-left':(20, 1), 'bottom-right':(20, 3)}
{'top-left':(22, 1), 'bottom-right':(22, 3)}
{'top-left':(24, 1), 'bottom-right':(24, 3)}
{'top-left':(26, 1), 'bottom-right':(26, 3)}
{'top-left':(28, 1), 'bottom-right':(28, 3)}
{'top-left':(29, 1), 'bottom-right':(29, 3)}.