[USER (data scientist)]: Thanks, Tapilot. Finally, do the top 10 tennis players exhibit any patterns or trends in their performance on grass courts, particularly in terms of notable opponents they struggle against？Please generate a notable opponents list, and assume opponents who have won at least 3 matches as common oppnents.
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(notable_opponents_list)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: To answer these questions, we'll analyze the dataset to find notable opponents the top 10 players struggle against, identify areas of improvement for each player, and discuss other factors that may impact their performance on grass courts. Here's the code to do that:
'''
import pandas as pd
import numpy as np
import pickle

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

# YOUR SOLUTION BEGIN:
