D-backs Scorecard

Last Updated: 09/06/2024 10:06 AM
D-backs logo
HoleWinsLossesScore+10
136+2Dbl Bogey (+2)
245+3Bogey (+1)
363+2Birdie (-1)
418+6Quadruple Bogey (+4)
527+9Trpl Bogey (+3)
645+10Bogey (+1)
7Cardinals 0 - D-backs 6
Avg36+2Dbl Bogey

Analysis

This is a large text file containing the results of baseball games played from March to October 2000. Each game result is represented as a line with information about the two teams playing, the score, and sometimes other details like date and location.

The data format appears to be plain text, where each line represents a single game result. The fields are separated by spaces, and there's no clear indication of which field corresponds to which piece of information (e.g., team names, scores).

To make sense of this data, we would need to write some code to parse it and extract the relevant information, such as:

  1. Teams involved
  2. Game dates
  3. Scores

Some possible programming languages that could handle this task are Python, R, or SQL.

Here is a simple example using Python:

import re

class GameResult:
    def __init__(self, date, team1, score1, team2, score2):
        self.date = date
        self.team1 = team1
        self.score1 = score1
        self.team2 = team2
        self.score2 = score2

def parse_game_results(text):
    game_results = []
    lines = text.split('\n')
    for line in lines:
        match = re.match(r'(\d{4}-\d{3})\s*(\S+)\s*([\d-]+)\s*(\S+)\s*([\d-]+)', line)
        if match:
            date, team1, score1, team2, score2 = match.groups()
            game_results.append(GameResult(date, team1, int(score1), team2, int(score2)))
    return game_results

text = """...
"""

game_results = parse_game_results(text)

for result in game_results:
    print(f"Date: {result.date}")
    print(f"Team 1: {result.team1} - Score: {result.score1}")
    print(f"Team 2: {result.team2} - Score: {result.score2}")
    print()

This Python code defines a GameResult class to hold the data from each game result. It uses regular expressions to parse the text and extract the relevant information.

Please note that this is just one possible way to approach this task, and there are many other ways to do it depending on your specific requirements and programming language of choice. Updated: July 18, 2025 at 12:46 AM