Marlins Scorecard

This appears to be a large text file containing a baseball schedule for the 2004 MLB season. The format is not standard for a schedule, but rather appears to be a comma-separated list of games with team names and outcomes.

Here's a simple Python script that can parse this data:

import csv
from collections import defaultdict

class Game:
    def __init__(self, date, home_team, away_team, outcome):
        self.date = date
        self.home_team = home_team
        self.away_team = away_team
        self.outcome = outcome

class ScheduleParser:
    def __init__(self):
        self.schedule = defaultdict(list)

    def parse_schedule(self, text):
        reader = csv.reader(text.splitlines())
        next(reader)  # skip header line
        for row in reader:
            game_date = row[0]
            home_team = row[1].replace("'", "")
            away_team = row[2].replace("'", "")
            outcome = row[-1].split()[1] if len(row[-1]) > 5 else "Unknown"
            self.schedule[game_date] = Game(game_date, home_team, away_team, outcome)

    def get_games(self):
        return list(self.schedule.values())

# Usage
schedule_text = """..."""

parser = ScheduleParser()
parser.parse_schedule(schedule_text)
games = parser.get_games()

for game in games:
    print(f"Date: {game.date}, Home Team: {game.home_team}, Away Team: {game.away_team}, Outcome: {game.outcome}")

This script first splits the input text into a list of rows, then parses each row into individual elements (date, home team, away team, outcome). The parsed data is stored in a Game object and added to a dictionary with the date as the key.

You can replace the schedule_text variable with your actual schedule text. Then, run the script to parse and print out the games in the schedule. Updated: June 4, 2025 at 4:43 AM