Table:
Game

Day

Date

Kickoff

Opponent

Results

Location[5]

Attendance

Score

Record

1

Sunday

November 10

3:05pm

at Las Vegas Legends

L 3–7[8]

0–1

Orleans Arena

1,836[9]

2

Sunday

November 17

1:05pm

Monterrey Flash

L 6–10

0–2

UniSantos Park

363[10]

3

Saturday

November 23

7:05pm

at Bay Area Rosal

W 10–7

1–2

Cabernet Indoor Sports

652[11]

4

Sunday

December 1

1:05pm

Ontario Fury

W 18–4[12]

2–2

UniSantos Park

207[13]

5

Saturday

December 14

7:05pm

at Sacramento Surge

W 7–6 (OT)

3–2

Estadio Azteca Soccer Arena

215[14]

6

Sunday

December 15

6:00pm

at Bay Area Rosal

L 8–9 (OT)

3–3

Cabernet Indoor Sports

480[15]

7

Sunday

December 22

1:05pm

Turlock Express

W 16–8

4–3

UniSantos Park

218[16]

8

Saturday

January 4

7:05pm

at Ontario Fury

L 5–12[17]

4–4

Citizens Business Bank Arena

2,653[18]

9

Sunday

January 5

1:05pm

San Diego Sockers

L 7–12

4–5

UniSantos Park

388[19]

10

Sunday

January 12

1:05pm

Las Vegas Legends

W 10–7

5–5

UniSantos Park

343[20]

11

Sunday

January 19

1:05pm

Bay Area Rosal

W 17–7

6–5

UniSantos Park

219[21]

12

Sunday

January 26

1:05pm

Sacramento Surge

W 20–6

7–5

UniSantos Park

224[22]

13

Saturday

February 1

7:05pm

at San Diego Sockers

L 5–6[23]

7–6

Valley View Casino Center

4,954[24]

14

Friday

February 7

7:05pm

at Turlock Express

L 6–9

7–7

Turlock Soccer Complex

673[25]

15

Saturday

February 8

7:05pm

at Sacramento Surge

W 10–6

8–7

Estadio Azteca Soccer Arena

323[26]

16

Saturday

February 15♥

5:05pm

Bay Area Rosal

W 27–2[27]

9–7

UniSantos Park

118[28]

I need to know the count of rows and columns in this specific table. Provide the final answer in the JSON structure, using the format {"row_number": "m", "column_number": "n"}.

This table has 17 rows and 9 columns. Thus, the final answer is {"row_number": "17", "column_number": "9"}.