Over the course of this 2-part article as well as explaining the usage of Monte Carlo simulations behind the analytics, I will also be explaining the outputs they provide, which include: These advanced analytics are ideal if you are interested in topics like losing runs, risk, whether a tipster is lucky or skilful, comparison to other investment returns and volatility. Simply follow the easy to understand explanations we give and the context and scores we put the ratings in. The good news is that you DO NOT need to understand any complicated mathematics to benefit from exploring these advanced outputs. The full SBC Advanced Tipster Analytics Guide on Monte Carlo Simulations and the outputs for each tipster are available to full SBC members, yet in this 2-part article, I want to outline what they are and how exactly they can help when evaluating a tipster.

Much of this work has been ported over from other investment worlds and the outputs provided help us make more informed decisions on just which tipsters offer the best chance to make you a profit betting. In these quiet times for sport and betting, it’s an ideal time to look to develop our knowledge and skill sets and as part of that, in this new 2-part series I want to walk you through how to use Monte Carlo simulations to evaluate tipsters.

Sports betting system simulator