Table:
Club statistics

Club

Season

League

FA Cup

League Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Hull City

1996–97[28]

Third Division

30
2
1
0
0
0
1[a]
0
32
2

1997–98[29]

Third Division

25
2
1
0
2
0
0
0
28
2

1998–99[30]

Third Division

25
0
3
0
2
0
1[a]
0
31
0

1999–2000[31]

Third Division

38
3
4
1
2
0
2[a]
0
46
4

2000–01[32]

Third Division

30
2
2
0
1
0
3[b]
0
36
2

2001–02[33]

Third Division

26
1
0
0
1
1
1[b]
0
28
2

2002–03[34]

Third Division

3
0
0
0
0
0
0
0
3
0

Total

177
10
11
1
8
1
8
0
204
12

Boston United

2002–03[34]

Third Division

26
1
0
0
1
0
2[b]
0
29
1

2003–04[35]

Third Division

37
0
1
0
1
0
1[b]
0
40
0

2004–05[36]

League Two

22
0
4
0
1
0
0
0
27
0

2005–06[37]

League Two

34
1
2
0
0
0
1[b]
0
37
1

2006–07[38]

League Two

39
3
1
0
1
0
1[b]
0
42
3

Total

158
5
8
0
4
0
5
0
175
5

Burton Albion

2007–08[8]

Conference Premier

35
5
4
0
0
0
7[c]
0
46
5

York City

2008–09[18]

Conference Premier

35
3
2
0
—
9[d]
1
46
4

Gainsborough Trinity

2009–10[22]

Conference North

31
1
2
0
—
4[e]
0
37
1

2010–11[39]

Conference North

29
1
1
0
—
0
0
30
1

Total

60
2
3
0
—
4
0
67
2

North Ferriby United

2011–12[26]

NPL Premier Division

10
0
1
0
—
0
0
11
0

Career total

475
25
29
1
12
1
33
1
549
28

Examine the given table and extract the contents of in the specific rows or columns, denoted by row or column indices. Provide the cells in each row or column in the JSON structure, using the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}.
Specified rows or columns:
column 7,
row 11,
row 8,
row 7,

The cell values of target rows or columns are as follows:
For column 7: {"column_id": "7", "cell_list": ['FA Cup', 'Goals', '0', '0', '0', '1', '0', '0', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '1']}
For row 11: {"row_id": "11", "cell_list": ['Boston United', '2002–03', 'Third Division', '26', '1', '0', '0', '1', '0', '2', '0', '29', '1']}
For row 8: {"row_id": "8", "cell_list": ['Hull City', '2001–02', 'Third Division', '26', '1', '0', '0', '1', '1', '1', '0', '28', '2']}
For row 7: {"row_id": "7", "cell_list": ['Hull City', '2000–01', 'Third Division', '30', '2', '2', '0', '1', '0', '3', '0', '36', '2']}