[USER (data scientist)]: Finally, I'd like to loop through all the matches and update the odds for each one. Can you help me with that? 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, concatenate_objects, create_dataframe, bind_dataframe, reset_index, rename_columns, access_dataframe_loc, join_dataframes, get_max, assert_series, extract_unique_values, is_a_null_df, visit_by_index, fetch_df_size, iterate_rows

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

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE 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)]: You got it! Here's some code that loops through the matches, updates the odds, and stores the results in a DataFrame: 

# MY SOLUTION BEGIN:
