Skip to content

Latest commit

 

History

History
20 lines (11 loc) · 968 Bytes

ReadMe.md

File metadata and controls

20 lines (11 loc) · 968 Bytes

Hoping to solve parsing analytics site daily picks:

https://brilliantscarcity354.github.io/sportsbettingalgorithm.html

Which produces this raw csv file daily at 2:00AM EST: https://raw.githubusercontent.com/axz2000/sportsbook/main/masterScript/masterPush.csv

Then Leverage this python tool: https://github.com/JeMorriso/PySBR

To hopefully see if either Bovada or BetOnline have matching ML odds or better for the games mentioned, then list them in the output.

May add a dollar amount parameter you can declare at the top of code too so you know how much to allocate based on the available games that match up with what the bookies have offered on the day.

Long term goal will be a bot to then go in and automatically place the bets for you localhost(If first dudes website picks end up being LT profitable after a month).

Note: Using python 3.9 localhost on my windows lappy.

I plan on slamming all the code into main.py like the scrub that I am haha.