Table:
Club

Season

Division

League

Cup

Europe

Total

Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Sarpsborg 08

2011

Tippeligaen

9
0
1
0
—
10
0

2012

Adeccoligaen

26
9
3
1
—
29
10

2013

Tippeligaen

29
6
1
0
—
30
6

Total

64
15
5
1
0
0
69
16

Molde

2014

Tippeligaen

30
13
4
4
3
0
37
17

2015

28
12
1
0
12
7
41
19

2016

12
5
1
1
2
0
15
6

Total

70
30
6
5
17
7
93
42

Basel

2016–17

Swiss Super League

32
10
4
0
3
0
39
10

2017–18

34
12
3
0
8
2
45
14

Total

66
22
7
0
11
2
84
24

Southampton

2018–19[19]

Premier League

13
0
3[a]
0
—
16
0

Total

13
0
3
0
0
0
16
0

Career total

203
65
21
6
28
9
252
80

Inspect the given table and provide the contents of specific rows or columns. Output the cell values in each row or column as JSON in the format {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"column_id":"3", "cell_list": ["123.89", "News gathering", "selected tools"]}.
Needed rows or columns:
column 10,
row 12,
row 7,
column 7,
row 10,

The cell values of target rows or columns are as follows:
For column 10: {"column_id": "10", "cell_list": ['total', 'apps', '10', '29', '30', '69', '37', '41', '15', '93', '39', '45', '84', '18', '18', '254']}
For row 12: {"row_id": "12", "cell_list": ['', '2017-18', 'swiss super league', '34', '12', '3', '0', '8', '2', '45', '14']}
For row 7: {"row_id": "7", "cell_list": ['molde', '2014', 'tippeligaen', '30', '13', '4', '4', '3', '0', '37', '17']}
For column 7: {"column_id": "7", "cell_list": ['', 'goals', '0', '1', '0', '1', '4', '0', '1', '5', '0', '0', '0', '0', '0', '6']}
For row 10: {"row_id": "10", "cell_list": ['', 'total', '', '70', '30', '6', '5', '17', '7', '93', '42']}