Table:
week	date	opponent	time / time zone	game site	final score	record	match report

1	september 8 , 2008	minnesota	6pm cdt	lambeau field	w , 24 - 19	1 - 0	recap

2	september 14 , 2008	detroit	noon cdt	ford field	w , 48 - 25	2 - 0	recap

3	september 21 , 2008	dallas	7:15pm cdt	lambeau field	l , 27 - 16	2 - 1	recap

4	september 28 , 2008	tampa bay	noon cdt	raymond james stadium	l , 30 - 21	2 - 2	recap

5	october 5 , 2008	atlanta	noon cdt	lambeau field	l , 27 - 24	2 - 3	recap

6	october 12 , 2008	seattle	3:15pm cdt	qwest field	w , 27 - 17	3 - 3	recap

7	october 19 , 2008	indianapolis	3:15pm cdt	lambeau field	w , 34 - 14	4 - 3	recap

8	-	-	-	-	-	-	-

9	november 2 , 2008	tennessee	noon cst	lp field	l , 19 - 16 ot	4 - 4	recap

10	november 9 , 2008	minnesota	noon cst	hhh metrodome	l , 28 - 27	4 - 5	recap

11	november 16 , 2008	chicago	noon cst	lambeau field	w , 37 - 3	5 - 5	recap

12	november 24 , 2008	new orleans	7:30pm cst	louisiana superdome	l , 51 - 29	5 - 6	recap

13	november 30 , 2008	carolina	noon cst	lambeau field	l , 35 - 31	5 - 7	recap

14	december 7 , 2008	houston	noon cst	lambeau field	l , 24 - 21	5 - 8	recap

15	december 14 , 2008	jacksonville	noon cst	jacksonville municipal stadium	l , 20 - 16	5 - 9	recap

16	december 22 , 2008	chicago	7:30pm cst	soldier field	l , 20 - 17 ot	5 - 10	recap

17	december 28 , 2008	detroit	noon cst	lambeau field	w , 31 - 21	6 - 10	recap

Could you calculate the row number and column number in this table? The final result should be presented in the JSON format of {"row_number": "m", "column_number": "n"}.

There are 18 rows and 8 columns in the table. So, the final answer is {"row_number": "18", "column_number": "8"}.