[USER (data scientist)]: Awesome! Now, let's figure out the original and updated match favorites based on the odds. Please generate and display a DataFrame that identifies the original and updated favorites based on odds comparison for matches in later rounds of the ATP tennis dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import numpy as np
import pickle
from decision_company import read_csv_file,

# please import the necessary private functions from decision_company first

# Load the dataset 
atp_tennis = read_csv_file('atp_tennis.csv')

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

print(later_rounds_odds)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Got it! Here's the code to calculate the original and updated match favorites: 
'''
import pandas as pd
import numpy as np
import pickle
from decision_company import read_csv_file,

# please import the necessary private functions from decision_company first

# Load the dataset 
atp_tennis = read_csv_file('atp_tennis.csv')

# YOUR SOLUTION BEGIN:
