Table:
Team
Year
Regular Season
Post Season

Won
Lost
Ties
Win %
Finish
Won
Lost
Win %
Result

National Football League

CLE
1984

4
4
0
.500
3rd in AFC Central
-
-
-
-

CLE
1985

8
8
0
.500
1st in AFC Central
0
1
.000
Lost to Miami Dolphins in Divisional Game.

CLE
1986

12
4
0
.750
1st in AFC Central
1
1
.500
Lost to Denver Broncos in AFC Championship Game.

CLE
1987

10
5
0
.667
1st in AFC Central
1
1
.500
Lost to Denver Broncos in AFC Championship Game.

CLE
1988

10
6
0
.625
2nd in AFC Central
0
1
.000
Lost to Houston Oilers in AFC Wild-Card Game.

CLE Total
44
27
0
.620

2
4
.333

KC
1989

8
7
1
.533
2nd in AFC West
-
-
-
-

KC
1990

11
5
0
.688
2nd in AFC West
0
1
.000
Lost to Miami Dolphins in Wild Card Game.

KC
1991

10
6
0
.625
2nd in AFC West
1
1
.500
Lost to Buffalo Bills in Divisional Game.

KC
1992

10
6
0
.625
2nd in AFC West
0
1
.000
Lost to San Diego Chargers in Wild Card Game.

KC
1993

11
5
0
.688
1st in AFC West
2
1
.667
Lost to Buffalo Bills in AFC Championship.

KC
1994

9
7
0
.563
2nd in AFC West
0
1
.000
Lost to Miami Dolphins in AFC Wild-Card Game.

KC
1995

13
3
0
.813
1st in AFC West
0
1
.000
Lost to Indianapolis Colts in AFC Divisional Game.

KC
1996

9
7
0
.563
2nd in AFC West
-
-
-
-

KC
1997

13
3
0
.813
1st in AFC West
0
1
.000
Lost to Denver Broncos in AFC Divisional Game.

KC
1998

7
9
0
.438
4th in AFC West
-
-
-
-

KC Total
101
58
1
.635

3
7
.300

WAS
2001

8
8
0
.500
2nd in NFC East
-
-
-
-

WAS Total
8
8
0
.500

-
-
-
-

SD
2002

8
8
0
.500
3rd in AFC West
-
-
-
-

SD
2003

4
12
0
.250
4th in AFC West
-
-
-
-

SD
2004

12
4
0
.750
1st in AFC West
0
1
.000
Lost to New York Jets in AFC Wild-Card Game.

SD
2005

9
7
0
.563
3rd in AFC West
-
-
-
-

SD
2006

14
2
0
.875
1st in AFC West
0
1
.000
Lost to New England Patriots in AFC Divisional Game.

SD Total
47
33
0
.588

0
2
.000

NFL Total
200
126
1
.613

5
13
.278
-

United Football League

VA
2011

4
1
0
.800
1st in UFL
1
0
1.000
Beat Las Vegas Locomotives in UFL Championship Game

VA Total
4
1
0
.800

1
0
1.000

UFL Total
4
1
0
.800

1
0
1.000

Examine the given table and extract the contents of in the specific rows or columns, denoted by row or column indices. 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>"}.
Specified rows or columns:
the 10th column
the 6th row
the 12th row
the 23th row
the 24th row
the 3rd row

The cell values of target rows or columns are as follows:
For the 10th column: {"column_id": "10", "cell_list": ['', 'win %', '', 'none', '.000', '.500', '.500', '.000', '.333', 'none', '.000', '.500', '.000', '.667', '.000', '.000', 'none', '.000', 'none', '.300', 'none', 'none', 'none', 'none', '.000', 'none', '.000', '.000', '.278', '', '1.000', '1.000', '1.000']}
For the 6th row: {"row_id": "6", "cell_list": ['cle', '1986', '12', '4', '0', '.750', '1st in afc central', '1', '1', '.500', 'lost to denver broncos in afc championship game']}
For the 12th row: {"row_id": "12", "cell_list": ['kc', '1991', '10', '6', '0', '.625', '2nd in afc west', '1', '1', '.500', 'lost to buffalo bills in divisional game']}
For the 23th row: {"row_id": "23", "cell_list": ['sd', '2002', '8', '8', '0', '.500', '3rd in afc west', 'none', 'none', 'none', 'none']}
For the 24th row: {"row_id": "24", "cell_list": ['sd', '2003', '4', '12', '0', '.250', '4th in afc west', 'none', 'none', 'none', 'none']}
For the 3rd row: {"row_id": "3", "cell_list": ['national football league', '', '', '', '', '', '', '', '', '', '']}