Table:
Club

Season

League

Cup

Other

Total

Division
Apps
Goals
Apps
Goals
Apps
Goals
Apps
Goals

Grêmio

2013[7]

Série A

0
0
0
0
4[a]
0
4
0

Oeste (loan)

2012[7]

Paulista A1

0
0
0
0
2[b]
0
2
0

Red Bull Brasil (loan)

2014[7]

Série D

0
0
0
0
8[b]
1
8
1

Atenas (loan)

2014–15[7]

Primera División

26
1
0
0
—
26
1

Red Bull Brasil (loan)

2015[7]

Série D

8
0
0
0
0
0
8
0

2016[7]

Série D

0
0
1
0
2[b]
0
3
0

Total

8
0
1
0
2
0
11
0

Mumbai City

2016[7]

Indian Super League

14
1
—
—
14
1

Atlético Tubarão

2017[7]

Catarinense A1

—
0
0
14
1
14
1

Mumbai City

2017–18[7]

Indian Super League

17
0
0
0
—
17
0

Renofa Yamaguchi

2018[7]

J2 League

4
0
0
0
—
4
0

ATK

2018–19[7]

Indian Super League

4
0
0
0
—
4
0

Career total

73
2
1
0
30
2
104
4

row 9 and column 6
row 9 and column 11
row 10 and column 9
Extract the contents of cells in the above positions, identified by row and column indices. Represent each cell value in the JSON format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}. For instance, {"row_id":"5", "column_id":"4", "cell_value":"missouri 4"}.

The target cell values are as follows:
{"row_id":"9", "column_id":"6", "cell_value":"1"}
{"row_id":"9", "column_id":"11", "cell_value":"0"}
{"row_id":"10", "column_id":"9", "cell_value":"1"}