[USER (data scientist)]: That's a nice function! Now, let's create a dataframe to store the results and loop through Federer's opponents to calculate the performance of Raonic M. 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, fetch_column, logical_and, logical_or, create_dataframe, concatenate_objects, reset_index, search_where, extract_unique_values, update_dict, assert_series

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

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

print(player_stats)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure, let's initialize an empty dataframe with the required columns and loop through Federer's opponents to calculate the performance: 

# MY SOLUTION BEGIN:
