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

Based on the provided table, please extract the cells' values in the following rows or columns. 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>"}.
Target row or column indices:
row 9,
row 2,
column 11,
row 13,
column 6,
column 7,

The cell values of target rows or columns are as follows:
For row 9: {"row_id": "9", "cell_list": ['1988', 'Cincinnati Bengals', '15', '182', '931', '5.1', '51', '8', '29', '287', '9.9', '28', '6']}
For row 2: {"row_id": "2", "cell_list": ['1981', 'San Diego Chargers', '14', '109', '525', '4.8', '28', '3', '46', '329', '7.2', '29', '3']}
For column 11: {"column_id": "11", "cell_list": ['Avg', '7.2', '5.1', '8.6', '7.9', '10.5', '12.7', '12.4', '9.9', '8.3', '10.3', '8.7', '0.0', '-0.5', '9.5']}
For row 13: {"row_id": "13", "cell_list": ['1992', 'Tampa Bay Buccaneers', '2', '5', '6', '1.2', '4', '0', '0', '0', '0.0', '0', '0']}
For column 6: {"column_id": "6", "cell_list": ['Avg', '4.8', '4.9', '4.1', '3.8', '4.8', '5.3', '3.1', '5.1', '5.6', '5.1', '3.8', '1.2', '2.9', '4.7']}
For column 7: {"column_id": "7", "cell_list": ['Long', '28', '48', '61', '33', '39', '56', '18', '51', '65', '56', '25', '4', '13', '65']}