Unlock the Potential of Prop Bets w/ Poisson Distribution: A Proven Method for Winning Sports Bets |
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✅ https://sharp.link/yt ✅ Join the free Sharp App DIscord ✅✅ https://discord.gg/sharp-app-sports-betting-750497266552537217 This video will give you a detailed look at how to use Poisson Distribution, a statistical tool, to calculate the likelihood of certain events occurring in NBA prop bets. By inputting data such as historical scoring averages of the teams involved, you will be able to generate the probability of how many steals, rebounds, books, assists, etc will be scored in a given match and make more informed decisions on your prop bets. Learn the proven method to master NBA prop bets and score big with Poisson Distribution. In addition to the NBA, Poisson Distribution can also be applied to NFL prop bets. By analyzing historical scoring data for NFL teams, the Poisson Distribution can be used to predict the likelihood of a certain number of touchdowns or field goals being scored in a game. This information can be used to inform decisions on prop bets such as the total number of points scored in a game or the number of touchdowns scored by a specific player. With this powerful tool at your disposal, you can gain a significant advantage when placing your NFL prop bets. With so many prop bets being offered at sportsbooks, they have become a popular bet for sports bettors. Those with a background in DFS or fantasy sports like football or basketball will take to prop betting quite easily. You may be able to calculate your own fantasy projections or you may get projections from a reliable source. What you may not know how to do is calculate what the fair line should be based on that projection. In this video John "Statsational" Alesia will take you through the way to calculate many of these prop bets using Poisson. Download the Sharp App ✅ https://sharp.link/yt ✅ Flat or Variable Bet Sizing ✅✅ https://youtu.be/ljBWxMC8fiI Expected Value ✅✅ https://youtu.be/LgXqZLpy_hI Calculating the Moneyline ✅✅ https://youtu.be/rFVkIyPcZVA |