zacksiegfried / underdogs

Sports data analysis

underdogs

Scripts relating to the betting analysis of college and professional sports

basic draftkings web scraping capabilities are contained in dkTools.py
urlBuilder.py allows easy changing of selected sport, also contains minimal selection criteria (can be added to)

cfb

College football analysis

Example DraftKings odds pull

Basic package imports + changing path to underdogs directory to import relevant scripts

import requests
from bs4 import BeautifulSoup

import sys
import os
sys.path.insert(0, os.path.dirname(os.path.abspath('')))

import urlBuilder
import dkTools

urlBuilder is used to create specific draft kings CFB url which can then be fed into requests
bs4 object 'soup' is passed to gameSelector() which returns a list of lists containing dictionaries with team names and odds

page = requests.get(urlBuilder.DK('football/ncaaf', '?category=game-lines&subcategory=game'))
soup = BeautifulSoup(page.content, 'html5lib')

games_list = dkTools.gameSelector(soup):

gameSelector() can only be applied to the game-lines tab on DK webpage selected by '?category=game-lines&subcategory=game' as the 2nd variable passed to urlBuilder

Example output

for i in games_list:
  print(i)

[{'name': 'Navy', 'moneyline': '+800'}, {'name': 'Notre Dame', 'moneyline': '−1250'}]
[{'name': 'UTEP', 'moneyline': '+110'}, {'name': 'Jacksonville State', 'moneyline': '−130'}]
[{'name': 'Ohio', 'moneyline': '+155'}, {'name': 'San Diego State', 'moneyline': '−180'}]
...

underdogs's Issues

Allow missing odds value

https://github.com/zacksiegfried/underdogs/blob/91321a1c73c5ad4f453d5c9369d1081866508771/cfb/intro.py#L46C9-L47C115