Phillies Scorecard

Here is a Python code snippet that can parse the text and extract various statistics:

import re
from collections import defaultdict

def extract_stats(text):
    stats = {
        'wins': 0,
        'losses': 0,
        'ties': 0,
        'runs_scored': 0,
        'runs_allowed': 0,
        'earned_run_average': defaultdict(float),
        'opposing_wins': 0
    }

    games = text.split('\n')

    for i, game in enumerate(games):
        if i >= len(text) // 2:
            break

        match = re.search(r'(\d{3} \w+ \d+)\s*\((.*?)\)', game)
        if match:
            stats['wins'] += int(match.group(1).split()[0])
            stats['losses'] += int(match.group(1).split()[2])
            stats['ties'] += int(match.group(1).split()[4])

    for i, game in enumerate(games):
        match = re.search(r'(\d{3} \w+ \d+)\s*-\s*(\d{3})', game)
        if match:
            stats['runs_scored'] += int(match.group(2))
            stats['opposing_wins'] += 1

    stats['runs_allowed'] = stats['wins']
    stats['earned_run_average']['avg'] = (stats['runs_allowed'] - stats['runs_scored']) / stats['wins']

    for i, game in enumerate(games):
        match = re.search(r'(\w+\s\d+ \d+)', game)
        if match:
            opponent = match.group(1).split()[0]
            if opponent == 'MLB':
                continue
            stats['opposing_wins'] -= 1

    return {
        'total_games': len(games),
        **stats,
    }

text = """
... text from the problem statement ...
"""

result = extract_stats(text)
print(result)

This script will print out various statistics extracted from the text, including:

• wins, losses, and ties
• runs_scored and runs_allowed
• The average earned run average for each game
• The total number of games

Note that this code assumes a specific format for the input text. It might need to be adjusted if the format changes. Updated: August 3, 2025 at 10:08 AM