Comprehensive Analysis of ZED FC for Sports Betting Enthusiasts

Overview / Introduction about the Team

ZED FC, a prominent football team based in [Country/Region], competes in the [League Name]. Founded in [Year Founded], the club is managed by [Coach/Manager]. Known for their strategic gameplay, ZED FC plays in a [Formation] formation, balancing defense and attack effectively.

Team History and Achievements

Since its inception, ZED FC has built a rich history with numerous titles and awards. Notable achievements include winning the [Title] in [Year] and consistently securing top positions in league standings. The team’s resilience was particularly evident during the [Notable Season], where they finished as runners-up.

Current Squad and Key Players

The current squad boasts several star players who are pivotal to ZED FC’s success. Key players include:

• [Player Name] – Midfielder, known for exceptional passing skills (🎰)
• [Player Name] – Forward, renowned for goal-scoring ability (✅)
• [Player Name] – Defender, crucial for maintaining a strong backline (💡)

Team Playing Style and Tactics

ZED FC employs a tactical approach characterized by a [Formation]. Their strategy focuses on maintaining possession and quick transitions from defense to attack. Strengths include disciplined defense and dynamic midfield play, while weaknesses may involve occasional lapses in concentration during high-pressure matches.

Interesting Facts and Unique Traits

ZED FC is affectionately known as “[Nickname]” by fans. The team enjoys a passionate fanbase that supports them through thick and thin. Rivalries with teams like [Rival Team] add an extra layer of excitement to their matches. Traditions such as pre-match rituals contribute to the team’s unique identity.

Lists & Rankings of Players, Stats, or Performance Metrics

Key performance metrics for ZED FC include:

• [Statistic 1]: Leaderboard position (✅)
• [Statistic 2]: Recent form analysis (❌)
• [Statistic 3]: Head-to-head records (🎰)

Comparisons with Other Teams in the League or Division

In comparison to other teams in the league, ZED FC stands out due to their consistent performance and strategic gameplay. They often outperform rivals like [Comparison Team] in terms of possession stats and goal conversion rates.

Case Studies or Notable Matches

A breakthrough game for ZED FC was their victory against [Opponent Team] on [Date], where they secured a decisive win with a score of [Score]. This match highlighted their tactical prowess and ability to perform under pressure.

Table Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds

Tips & Recommendations for Analyzing the Team or Betting Insights

To make informed betting decisions on ZED FC:

• Analyze recent form trends (💡)
• Consider head-to-head records against upcoming opponents (✅)
• Evaluate key player performances (❌ if injured)

Quotes or Expert Opinions about the Team

“ZED FC’s tactical discipline makes them formidable opponents,” says [Expert Name], a renowned sports analyst.

Pros & Cons of the Team’s Current Form or Performance

• Pros:
• Dominant midfield control (✅)

userI have the following code:
python
def get_plotly_mapbox_access_token():
token = os.environ.get(‘MAPBOX_ACCESS_TOKEN’)
if not token:
raise ValueError(
‘Please set MAPBOX_ACCESS_TOKEN environment variable ‘
‘with your mapbox access token’
)
return token

def plot_points_on_a_map(df: pd.DataFrame,
path_to_save_fig: str,
point_column: str,
zoom: int = None):
“””Plot points on a map using plotly express.

Parameters
———-
df : pd.DataFrame
A dataframe containing points data.
path_to_save_fig : str
Path to save figure.
point_column : str
Column name that contains point data.
zoom : int
Optional zoom level.

Returns
——-
None

“””

# Extract latitude and longitude from point_column using shapely wkt format
df[‘latitude’] = df[point_column].apply(lambda x: shapely.wkt.loads(x).y)
df[‘longitude’] = df[point_column].apply(lambda x: shapely.wkt.loads(x).x)

# Get plotly mapbox access token from environment variable
mapbox_access_token = get_plotly_mapbox_access_token()

# Plot points on map using plotly express scattermapbox
fig = px.scatter_mapbox(df,
lat=’latitude’,
lon=’longitude’,
zoom=zoom,
height=300)

# Update layout with mapbox access token
fig.update_layout(mapbox_style=”open-street-map”,
mapbox_accesstoken=mapbox_access_token)

# Save figure to path_to_save_fig
fig.write_image(path_to_save_fig)

## Your task:
Please modify the `plot_points_on_a_map` function to handle cases where `point_column` might contain invalid WKT strings gracefully. Specifically:
1. Add error handling within the lambda functions used to extract latitude and longitude.
2. If an invalid WKT string is encountered, log an error message indicating which row had an invalid entry.
3. Skip rows with invalid WKT strings instead of raising an exception.
4. Ensure that only valid rows are included in the final DataFrame used for plotting.