Wagered On Tilt
Learn how to make sports betting models to help improve and find your edge in the NFL, NHL, MLB, NBA and more!
Using data models and more, you can learn how to effectively wager to help reduce your losses, and eventually turn a profit. See how a great form of entertainment can become even more interesting.
The goal of this channel is to help broader the minds of anyone looking into sports betting, and trying to find ways they can create and develop their own betting process.
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Байесовский анализ в обновлении Excel — моделирование NFL Prop
Sports Betting and Markov Chain in Excel
Weibull Adjusted for Injury
Модель хоккейных бросков по воротам в Excel
Sports Modeling and the Z Score
Sports Modeling Variance and Standard Deviation
Sports Modeling Basic Excel Formulas
Intro to Stats Probability Trees
Prop Sports Betting Data
Sports Modeling Basic Stats
NFL Week 1 Recap and Week 2 Prop Look
Weibull and Lognormal Sports Betting
NFL Season Prep
Binomial vs. Negative Binomial Distributions in Excel for Sports Betting
Negative Binomial Regression - Sports Model
Sports Modeling Linear Regression Python
Linear Regression and Player Stats in Excel
How to Scrape Data Using Pandas Tables
Sports Modeling Excel Logistic Regression
Excel Line Up Model - Estimated Possessions
Excel Line Up Model - Calculate Playing Time
Intro to Excel Modeling Data Truncated
Excel Making a Model on League Averages
Scrubbing and Remap Your Data for Betting Models
Back to Basics of Excel for Models
Sports Betting Model Scraper V2 - Advanced Table
Python Bootstrapping Your Sports Model
Процесс создания модели ставок на спорт от начала до конца
Collecting ID's for Python Scraper
Python Web Scraper Season Over Season