[USER (data scientist)]: Sweet! Now, I wanna see the percentage change for each of these differences. How do I go about that? Please generate and display a DataFrame that calculates the percentage change between the original and updated odds for players in the ATP tennis dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import numpy as np
import pickle

atp_tennis = pd.read_csv('atp_tennis.csv')

# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(updated_odds_df)

# save data
pickle.dump(updated_odds_df,open("./pred_result/updated_odds_df.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! To get the percentage change, just divide the difference by the original odd and multiply by 100. Let's add two more columns to the dataframe for the percentage change of each odd. Here's the code for that: 
'''
import pandas as pd
import numpy as np
import pickle

atp_tennis = pd.read_csv('atp_tennis.csv')

# YOUR SOLUTION BEGIN:
