[USER (data scientist)]: I want to see how match favorites change with the updated odds. Please generate the code with the output in plot type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from decision_company import read_csv_file, create_figure, set_plot_ylabel, set_plot_xlabel, set_plot_title, show_plots, save_plot, draw_lineplot, plot_kde, add_legend, draw_countplot

atp_tennis = read_csv_file('atp_tennis.csv')

# Plot the changes in match favorites
create_figure((12, 6))

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

# save data
save_plot('./pred_result/changes_in_match_favorites.png')
show_plots()

---END CODE TEMPLATE---

[YOU (AI assistant)]: Awesome! Let's use seaborn's 'countplot' to visualize the changes in match favorites. Here's the code. Now you can see how match favorites change with the updated odds. Anything else you'd like to analyze? 

# MY SOLUTION BEGIN:
