Table:
Club	Season	League	National Cup	Continental	Other	Total

Division	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals	Apps	Goals

BATE Borisov	2009	Belarusian Premier League	22	1	10	0	32	0

2010	23	1	2	0	13	0	0	0	38	1

2011	15	2	0	0	3	0	1	0	19	2

Total	60	4	26	0	1	0	87	4

Dynamo Moscow	2011–12	Russian Premier League	2	0	1	0	3	0

2012–13	1	0	0	0	0	0	1	0

2013–14	0	0	0	0	0	0

Total	3	0	1	0	0	0	4	0

Mordovia Saransk (loan)	2012–13	Russian Premier League	20	0	1	0	–	21	0

Mordovia Saransk	2013–14	Russian National League	5	0	1	0	–	6	0

2014–15	Russian Premier League	22	0	3	0	–	25	0

2015–16	17	0	1	0	–	18	0

Total	44	0	5	0	49	0

Astana	2016	Kazakhstan Premier League	9	0	3	0	11	0	23	0

2017	27	1	1	0	12	0	1	0	41	1

2018	5	0	0	0	2	0	0	0	7	0

Total	41	1	4	0	25	0	1	0	71	1

Career total	168	5	13	0	51	0	2	0	234	5

Give you some cell positions and a table image, extract the corresponding cell values in these positions:
row 6 and column 8,
row 17 and column 2,
row 3 and column 2,
row 19 and column 2,
row 18 and column 5,
row 15 and column 7,

The value of every target cell should be presented in the JSON format of {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}, e.g., {"row_id":"10", "column_id":"3", "cell_value":"District"}.

The target cell values are as follows:
{"row_id":"6", "column_id":"8", "cell_value":"26"}
{"row_id":"17", "column_id":"2", "cell_value":"2017"}
{"row_id":"3", "column_id":"2", "cell_value":"2009"}
{"row_id":"19", "column_id":"2", "cell_value":"total"}
{"row_id":"18", "column_id":"5", "cell_value":"0"}
{"row_id":"15", "column_id":"7", "cell_value":"0"}