[USER (data scientist)]: Lastly, I want to turn the list with all the performance data into a pandas DataFrame. Please compile and display a list of detailed performance data, including the number of matches played, won, and the win rate for each top 10 ranked player in specific rounds on grass surfaces 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(performance_data)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Easy peasy! Just use this code to transform your list into a DataFrame:
'''
import pandas as pd
import numpy as np
import pickle

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

# YOUR SOLUTION BEGIN:
