Rockies Scorecard

This appears to be a log of MLB games from the 2010 season, including the outcome and details of each game. The format is not consistent with any specific database or file format, but it can be parsed using a simple text processing approach.

Here's an example Python code that can parse this data:

import re

class GameLog:
    def __init__(self, data):
        self.games = []
        for line in data.split('\n'):
            match = re.match(r'(\w+ \w+) (\d{1,3}) (\d{1,3}) (\d{1,3})', line)
            if match:
                home_team, away_team, home_score, away_score = match.groups()
                self.games.append({'Home Team': home_team, 'Away Team': away_team, 'Home Score': int(home_score), 'Away Score': int(away_score)})

    def get_games(self):
        return self.games

# Load the game log data
data = """... ( paste the game log data ) ..."""

game_log = GameLog(data)

# Print the number of games and statistics
print(f'Number of Games: {len(game_log.get_games())}')
for i, game in enumerate(game_log.get_games()):
    print(f'Game {i+1}:')
    print(f'  Home Team: {game["Home Team"]}')
    print(f'  Away Team: {game["Away Team"]}')
    print(f'  Home Score: {game["Home Score"]}')
    print(f'  Away Score: {game["Away Score"]}')

This code defines a GameLog class that takes the game log data as input and parses it to extract the home team, away team, score, and other relevant information. The get_games() method returns a list of games, which can be used for further analysis or processing.

Note that this is just one possible way to parse the game log data, and there may be variations in formatting or structure depending on the specific source of the data. Updated: July 18, 2025 at 4:30 AM