[USER (data scientist)]: Sweet! Now, let's see if there are any changes in match favorites and shifts in tournament dynamics based on the updated odds. Please generate the code with the output in dataframe type.
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, check_elements_in_list, join_dataframes, sum_up, use_function

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

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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)]: You got it! Here's the code to calculate the changes in match favorites and shifts in tournament dynamics: 

# MY SOLUTION BEGIN:
