Table:
Club performance
League
Cup
Other
Continental
Total

Season
Club
League
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Norway
League
Norwegian Cup
—
Europe
Total

2003
Moss
First Division
25
8
3
2
—
—
28
10

2004
16
8
3
0
—
19
8

2004
Molde
Tippeligaen
6
2
0
0
—
6
2

2005
25
10
6
3
—
31
13

2006
9
2
0
0
0
0
9
2

Netherlands
League
KNVB Cup
League playoffs
Europe
Total

2006–07
Heerenveen
Eredivisie
19
5
1
0
0
0
6
0
26
5

Heracles (loan)
12
3
0
0
—
—
12
3

Germany
League
DFB-Pokal
DFB-Ligapokal
Europe
Total

2007–08
Borussia Mönchengladbach
2. Bundesliga
33
18
1
0
—
—
34
18

2008–09
Bundesliga
24
7
1
0
—
25
7

2009–10
26
3
0
0
—
26
3

2010–11
Hertha BSC
2. Bundesliga
25
5
2
1
—
27
6

2011–12
Eintracht Frankfurt
13
1
1
0
—
14
1

2012–13
Bundesliga
0
0
0
0
—
0
0

2012–13
1860 München
2. Bundesliga
14
4
0
0
—
14
4

2013–14
10
1
2
0
—
12
1

Career totals
Norway
81
30
12
5
—
0
0
93
35

Netherlands
31
8
1
0
0
0
6
0
38
8

Germany
138
37
7
1
—
—
145
38

Career statistics
250
75
20
6
0
0
6
0
276
81

Based on the provided table, please extract the cells' values in the following rows or columns. The cells of every row or column should be presented in the JSON format of {"row_id/column_id":"<row or column index>", "cell_list":"<a list of cells in this row/column>"}, e.g., {"row_id":"3", "cell_list": ["xxx", "yyy", "zzz"]}.
Target row or column indices:
row 12
row 20
column 4
column 8
column 12
row 24

The cell values of target rows or columns are as follows:
For row 12: {"row_id": "12", "cell_list": ['Germany', 'Germany', 'Germany', 'League', 'League', 'DFB-Pokal', 'DFB-Pokal', 'DFB-Ligapokal', 'DFB-Ligapokal', 'Europe', 'Europe', 'Total', 'Total']}
For row 20: {"row_id": "20", "cell_list": ['2013–14', '1860 München', '2. Bundesliga', '10', '1', '2', '0', '—', '—', '12', '1', '-', '-']}
For column 4: {"column_id": "4", "cell_list": ['League', 'Apps', 'League', '25', '16', '6', '25', '9', 'League', '19', '12', 'League', '33', '24', '26', '25', '13', '0', '14', '10', '81', '31', '138', '250']}
For column 8: {"column_id": "8", "cell_list": ['Other', 'Apps', '—', '—', '—', '—', '—', '—', 'League playoffs', '0', '—', 'DFB-Ligapokal', '—', '—', '—', '—', '—', '—', '—', '—', '—', '0', '—', '0']}
For column 12: {"column_id": "12", "cell_list": ['Total', 'Apps', 'Total', '-', '-', '-', '-', '9', 'Total', '26', '-', 'Total', '-', '-', '-', '-', '-', '-', '-', '-', '93', '38', '-', '276']}
For row 24: {"row_id": "24", "cell_list": ['Career statistics', 'Career statistics', 'Career statistics', '250', '75', '20', '6', '0', '0', '6', '0', '276', '81']}