[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

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

# Plot the shifts in tournament dynamics
plt.figure(figsize=(12, 6))

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

plt.savefig('./shifts_in_tournament_dynamics.png')
plt.show()

---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

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

# Plot the shifts in tournament dynamics
plt.figure(figsize=(12, 6))

# YOUR SOLUTION BEGIN:
