Athletics Scorecard

Here is a Python script that parses the given string and extracts the relevant information:

import re

# Regular expression pattern to match each game's result
pattern = r"(\w+)\s+(\d+)-(\d+)\s+(\w+)"

# Find all matches in the input string
matches = re.findall(pattern, text)

# Create a dictionary to store the results
results = {}

for date, home_score, away_score, teams in matches:
    if not (home_score.isdigit() and away_score.isdigit()):
        continue

    # Sort scores by value for consistency
    home_score, away_score = sorted([int(score) for score in [home_score, away_score]])

    results[(date, home_score, away_score)] = {
        "home_team": teams,
        "home_score": home_score,
        "away_team": teams.split()[0],
        "away_score": away_score
    }

# Print the results
for (date, home_score, away_score), result in results.items():
    print(f"{date}: {result['home_team']} {result['home_score']}-{result['away_score']} {result['away_team']}")

This script uses regular expressions to parse the input string and extract the relevant information. It then stores the results in a dictionary, which is printed out at the end.

Note that this script assumes that the input string is in a format where each game's result is separated by a space. If the input string is in a different format, the regular expression pattern will need to be adjusted accordingly.

Here's an example of how you could use this script:

text = """
August 1, 2002: Tigers 3-5 Athletics
August 2, 2002: Tigers 3-1 Athletics
...
September 29, 2002: Rangers 8-7 Athletics
"""

matches = re.findall(pattern, text)

for match in matches:
    print(match)

This will print out each game's result in the format date home_score-away_score home_team. Updated: August 3, 2025 at 10:07 AM