Scraping Positive Expected Value Shots On Target Markets Premier League Matches using Python and Selenium on Bet365 and Paddypower

Get the best bets for todays Premier League football between Bet365 and Paddypower.

Introduction

Today we will be scraping player shots on target markets on Bet365 and Paddypower for Premier League matches this weekend.

These are in no way tips. Make sure to check prices thoroughly before backing any of these selections.

Stay until the end of the article to get the best bets if you dont want to bother running the code yourself.

With that said lets begin.

Code

Lets import our libraries and create a function that returns a selenium driver. As usual replace the path to your chromedriver executable.

from supabase import create_client
import json
import pandas as pd
from datetime import date
import statsmodels
import numpy as np
import datetime
from datetime import datetime
import time
import pandas as pd
import numpy as np
import math #The Python math module
from scipy import stats #The SciPy stats module
import time
from selenium import webdriver
from selenium.webdriver import ChromeOptions
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.desired_capabilities import…