White Sox Scorecard

The provided text is a large block of text that appears to be a log or record from a baseball team. It contains a series of game results, including the date, time, and score of each game. The games are listed in chronological order.

To make sense of this data, we could consider extracting some relevant information, such as:

1. The total number of wins and losses for the White Sox.
2. The average score per game (e.g., runs scored by White Sox vs. opponent).
3. Any notable streaks or trends in the team's performance.

Here are a few examples of how this data could be extracted using Python code:

import re

# Define a function to parse the log and extract relevant information
def parse_log(log):
    wins = 0
    losses = 0
    total_runs_scored = 0
    games_played = 0

    for line in log.splitlines():
        # Extract the date, time, score, and opponent from each game result
        match = re.match(r"(\d{2} \w+ \d{4}) (\d+:?\d{2}) (\d+-?)\s*(\D+) (.*)", line)
        if match:
            date_time, score, opponent, runs_scored = match.groups()
            # Update the win/loss count and total runs scored
            if int(score.split("-")[0]) > int(score.split("-")[1]):
                wins += 1
                losses += 1
            else:
                losses += 1
            total_runs_scored += int(score.split("-")[0])

        games_played += 1

    # Calculate the average score per game (runs scored / games played)
    if games_played > 0:
        avg_score = total_runs_scored / games_played
    else:
        avg_score = None

    return wins, losses, avg_score, games_played

# Load the log into a string variable
log_string = """... (paste the entire log here) ..."""

# Parse the log and extract relevant information
wins, losses, avg_score, games_played = parse_log(log_string)

print("Wins:", wins)
print("Losses:", losses)
if avg_score is not None:
    print("Average score per game:", avg_score)
print("Games played:", games_played)

Note that this code assumes a specific format for the log entries and may need to be modified if the actual log data uses a different format. Updated: July 18, 2025 at 4:08 AM