This video covers eight principles that I learned while studying statistics at Northwestern that have helped me immensely and might help you too.
Find out why good rules often fail, how risk is your personal currency, and what you can do to better process information overload.
The video is based on work done by Kareem Carr, a data scientist and Ph.D. student at Harvard (shorturl.at/fswxK). Carr is an expert in statistics and I’ve incorporated some of that insight into my interpretation of how you can use these eight principles in betting.
Check it out and let me know what you think in the comment section. If you have specific questions about how you can use statistics to become a better sports bettor, fire away! π₯π₯
Video Rating: / 5
π₯ Out of the 8 principles, comment on which one you'd like me to expand on. Let's talk about sports!
I have recently started keeping track of scoring first in NHL and have found that out of my criteria, faster skating teams, more offensive zone time, winning more faceoffs and simply teams who shoot the puck more tend to get the first goal. Yesterday I went off my stats and bet with opinion that a +52% would not hit 3 times in a row. I lost and if I would have stayed with what my stat sheet was telling me I would have won. Where is the line drawn between stats saying 1 thing and outright probability of something? Inevitability does raise its ugly head. How do you decipher between what should and probably happen? I also bought a statistics for dummies book to see if I can learn anything.
well done