Angels Scorecard

This text is a large string of data that appears to be a collection of baseball game results for the Los Angeles Angels (also known as the California Angels) during the 1998 season. The data is in a format similar to Box Score XML, with each entry representing a single game result.

Here's a breakdown of what I can do with this text:

1. Extract game results: I can extract all the individual game results from the text and store them in a separate list or dictionary.
2. Filter by team: I can filter the extracted data to show only games against specific teams, such as "Tampa Bay Devil Rays" or "New York Yankees".
3. Summarize by date: I can group the extracted data by date (day of the week and month) to show how many games were played on each day.
4. Analyze team performance: I can analyze the extracted data to calculate various team statistics, such as wins, losses, runs scored, earned run average (ERA), etc.

Here's a Python code snippet that extracts some basic information from this text:

import re

# Regular expression pattern to match game results
pattern = r"(\d{3})\s+(\w+)\s+([\d:]+)\s+(\d+)-(\d+)"

# Initialize an empty dictionary to store extracted data
game_results = {}

for line in open("angel_game_log.txt").readlines():
    # Extract game result using regular expression
    match = re.match(pattern, line)
    if match:
        date = match.group(1)
        opponent = match.group(2)
        score = f"{match.group(3)}-{match.group(4)}"
        game_results[date] = {"opponent": opponent, "score": score}

# Print extracted data
for date, result in game_results.items():
    print(f"{date}: {result['opponent']} - {result['score']}")

This code extracts the game results using a regular expression pattern and stores them in a dictionary. The output will be a list of dates with corresponding opponent and score information.

Please let me know how I can assist you further! Updated: June 4, 2025 at 5:37 AM