White Sox Scorecard

The data appears to be a string of text that represents the win-loss record for the Chicago White Sox in baseball games, with each line representing a single game. The format is as follows:

Game Date | Win/Loss

Game Date | Win/Loss
...

To extract the data into a more usable format, we can split the string into individual lines and then parse the date and win/loss information from each line.

Here's an example of how you could do this in Python:

import re

# Define the regex pattern to match game dates and wins/losses
pattern = r"(\d{1,2} \w+ \d{4})|(\d+)-(\d+)"

# Split the input string into individual lines
lines = input_string.split("\n")

# Create a dictionary to store the win-loss record
record = {}

# Iterate over each line and extract the game date and wins/losses
for line in lines:
    if re.match(pattern, line):
        # Extract the game date or wins/losses using the regex pattern
        match = re.match(pattern, line)
        if match.group(1):  # Matched a game date
            date = match.group(1).strip()
        else:  # Matched wins and losses (e.g. "10-5")
            win_loss = match.groups()[0:]
            record[date] = {'wins': win_loss[0], 'losses': win_loss[1]}
    elif re.search(r"(\d+)-(\d+)", line):
        date, wins_loss = re.match(r"(\d+)-(\d+)", line).groups()
        record[date] = {'wins': int(wins_loss), 'losses': 0}

# Print the win-loss record as a dictionary
print(record)

This code uses a regular expression to match game dates and wins/losses, and then iterates over each line to extract the relevant information. The resulting dictionary can be used to calculate statistics such as the team's overall winning percentage.

Note that this is just one possible way to parse the data, and there may be other approaches depending on the specific requirements of your project. Updated: July 18, 2025 at 4:59 AM