Table:
Year

Team

GP

Att

Yds

Avg

Long

Rush TD

Rec

Yds

Avg

Long

Rec TD

1981
San Diego Chargers
14
109
525
4.8
28
3
46
329
7.2
29
3

1982
San Digeo Chargers
9
87
430
4.9
48
6
13
66
5.1
12
0

1983
San Diego Chargers
15
127
516
4.1
61
3
25
215
8.6
36
0

1984
Cincinnati Bengals
15
103
396
3.8
33
2
34
268
7.9
27
2

1985
Cincinnati Bengals
16
192
929
4.8
39
7
55
576
10.5
57
5

1986
Cincinnati Bengals
16
205
1,087
5.3
56
5
54
686
12.7
54
4

1987
Cincinnati Bengals
9
94
280
3.1
18
1
22
272
12.4
46
2

1988
Cincinnati Bengals
15
182
931
5.1
51
8
29
287
9.9
28
6

1989
Cincinnati Bengals
16
221
1,239
5.6
65
7
37
306
8.3
25
2

1990
Cincinnati Bengals
16
195
1,004
5.1
56
5
26
269
10.3
35
4

1991
Cincinnati Bengals
15
152
571
3.8
25
2
40
348
8.7
40
2

1992
Tampa Bay Buccaneers
2
5
6
1.2
4
0
0
0
0.0
0
0

1992
Cleveland Browns
4
13
38
2.9
13
0
2
-1
-0.5
4
0

Career Totals

162
1,685
7,962
4.7
65
49
383
3,621
9.5
57
30

row 2 and column 6,
row 12 and column 2,
row 3 and column 7,
row 12 and column 1,
row 13 and column 1,
row 8 and column 7,
row 9 and column 10,
Extract the contents of cells in the above positions, identified by row and column indices. Provide the value of all target cells in the JSON structure, using the format {"row_id":"m", "column_id":"n", "cell_value":"<Corresponding Cell Value>"}.

The extracted cell contents are listed below.
{"row_id":"2", "column_id":"6", "cell_value":"4.8"}
{"row_id":"12", "column_id":"2", "cell_value":"Cincinnati Bengals"}
{"row_id":"3", "column_id":"7", "cell_value":"48"}
{"row_id":"12", "column_id":"1", "cell_value":"1991"}
{"row_id":"13", "column_id":"1", "cell_value":"1992"}
{"row_id":"8", "column_id":"7", "cell_value":"18"}
{"row_id":"9", "column_id":"10", "cell_value":"287"}