Table:
Club	Season	League	Cup	League Cup	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

Moscow	2006	Russian Premier League	8	2	0	0	—	8	2

2007	30	4	0	0	—	30	4

2008	4	0	0	0	—	4	0

Total	42	6	0	0	0	0	0	0	42	6

San Lorenzo (loan)	2008–09	Argentine Primera División	21	8	0	0	—	2	1	23	9

Catania	2009–10	Serie A	2	0	0	0	—	2	0

2010–11	0	0	2	0	—	2	0

2011–12	25	4	1	0	—	26	4

2012–13	31	5	4	0	—	35	5

2013–14	28	5	0	0	—	28	5

Total	86	14	7	0	0	0	0	0	93	14

Estudiantes (loan)	2010–11	Argentine Primera División	13	0	0	0	—	6	2	19	2

San Lorenzo	2014	Argentine Primera División	12	1	0	0	—	5	1	17	2

2015	22	1	2	0	—	5	0	29	1

2016	13	1	0	0	—	6	2	19	3

Total	47	3	2	0	0	0	16	3	65	6

Toluca	2016–17	Liga MX	35	8	6	0	—	41	8

2017–18	26	2	7	1	—	33	3

Total	61	10	13	1	0	0	0	0	74	11

Career totals	270	41	22	1	0	0	24	6	316	48

Can you extract and list the values from these specific rows or columns in the table?
row 6
column 4

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>"}.

The extracted row or column contents are listed below.
For row 6: {"row_id": "6", "cell_list": ['', 'total', '', '42', '6', '0', '0', '0', '0', '0', '0', '42', '6']}
For column 4: {"column_id": "4", "cell_list": ['', 'apps', '8', '30', '4', '42', '21', '2', '0', '25', '31', '28', '86', '13', '12', '22', '13', '47', '35', '26', '61', '270']}