Table:
Date

Opponent

Score

Result

Record

May 22

Seattle

75-64

Win

1-0

May 24

@ Phoenix

69-62

Win

2-0

May 30

Connecticut

83-91

Loss

2-1

June 1

@ Minnesota

64-68 (OT)

Loss

2-2

June 3

Phoenix

66-51

Win

3-2

June 6

@ Charlotte

58-69

Loss

3-3

June 7

@ Connecticut

58-65

Loss

3-4

June 10

Sacramento

71-66

Win

4-4

June 14

@ Phoenix

61-76

Loss

4-5

June 17

@ Minnesota

77-68

Win

5-5

June 20

@ San Antonio

69-76

Loss

5-6

June 21

Cleveland

63-62

Win

6-6

June 24

Los Angeles

62-71

Loss

6-7

June 28

San Antonio

64-49

Win

7-7

July 1

Minnesota

71-69

Win

8-7

July 5

Washington

76-54

Win

9-7

July 8

Indiana

60-56

Win

10-7

July 15

@ Seattle

55-69

Loss

10-8

July 18

@ Los Angeles

79-74

Win

11-8

July 19

@ Sacramento

74-71

Win

12-8

July 26

New York

61-53

Win

13-8

July 29

Minnesota

73-58

Win

14-8

August 1

@ San Antonio

53-63

Loss

14-9

August 2

San Antonio

64-55

Win

15-9

August 5

Sacramento

74-47

Win

16-9

August 7

@ Indiana

68-55

Win

17-9

August 8

@ Detroit

66-56

Win

18-9

August 10

Phoenix

69-46

Win

19-9

August 16

Los Angeles

63-64

Loss

19-10

August 18

@ New York

64-67

Loss

19-11

August 19

Seattle

52-47

Win

20-11

August 21

@ Sacramento

52-64

Loss

20-12

August 23

@ Seattle

64-71

Loss

20-13

August 25

@ Los Angeles

64-67

Loss

20-14

August 29 (First Round, Game 1)

@ Sacramento

59-65

Loss

0-1

August 31 (First Round, Game 2)

Sacramento

69-48

Win

1-1

September 2 (First Round, Game 3)

Sacramento

68-70

Loss

1-2

Could you count the number of rows and columns in this table? Return the result as JSON in the format {"row_number": "m", "column_number": "n"}, e.g., {"row_number": "12", "column_number": "7"}.

There are 38 rows and 5 columns in the table. So, the final answer is {"row_number": "38", "column_number": "5"}.