[USER (data scientist)]: Lastly, I want to look at the shifts in tournament dynamics based on the updated odds. Please generate and display a line plot visualizing shifts in tournament dynamics based on updated odds in the ATP tennis dataset.
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,

# please import the necessary private functions from decision_company first

atp_tennis = read_csv_file('atp_tennis.csv')

# Plot the shifts in tournament dynamics
create_figure((12, 6))

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

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Great! Let's use seaborn's 'lineplot' to visualize the shifts in tournament dynamics. Here's the code: 
'''
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from decision_company import read_csv_file,

# please import the necessary private functions from decision_company first

atp_tennis = read_csv_file('atp_tennis.csv')

# Plot the shifts in tournament dynamics
create_figure((12, 6))

# YOUR SOLUTION BEGIN:
