Diamondbacks Scorecard

This appears to be a large text file containing the results of every MLB game for the 2010 season. To parse this data, we can use Python with its built-in libraries.

Here is an example code that reads the text file and prints out some basic statistics:

import re

def parse_games(file_name):
    # Initialize variables to keep track of wins, losses, and ties
    wins = 0
    losses = 0
    ties = 0

    # Open the file
    with open(file_name, 'r') as f:
        lines = f.readlines()

    # Loop over each line in the file
    for line in lines:
        # Use regular expression to extract game information
        match = re.search(r'(\d+) ([^ ]+?) \d+-\d+ \d+ ([^ ]+?) \d+', line)
        
        if match:
            # Extract teams and scores from the line
            home_team, _, _, home_score, _, away_score, _ = match.groups()

            # Determine which team won (home or away) based on score difference
            home_score_diff = int(home_score) - int(away_score)
            away_score_diff = int(away_score) - int(home_score)

            if home_score_diff > 0:
                wins += 1
            elif home_score_diff < 0:
                losses += 1
            else:
                ties += 1

    # Print the results
    print("Wins:", wins)
    print("Losses:", losses)
    print("Ties:", ties)

# Parse the games from the provided text file
parse_games('games.txt')

This code uses a regular expression to extract the home team, away team, and scores from each line. It then determines which team won based on the score difference and increments the corresponding win/loss/tie variable.

To parse more specific statistics or additional data, you can modify this script to include additional lines of code that process the extracted values in more sophisticated ways. Updated: July 18, 2025 at 3:59 AM