Financial traders often talk about last year’s returns

Financial traders often talk about last year’s returns – or statistically significant results over the past three or five years. Investors review long-term stock and mutual fund performance. Investing in sports is a different animal – but can be approached in a similar manner. In fact, the sports world lends itself to statistical analysis in many ways. For starters, there are tons of stats in sports. More importantly, for the purposes of our research and article: sporting events can be broken down into independent events that we bet (invest!) on. At we try to better quantify results and study various methods that can help serious sports investors improve their results.

We often hear about systems that are hot. “This system has been 8-1 since last week!” Does this mean anything? What if a system hit 56% over 100 games? Sounds decent – but is this statistically significant? And what does that phrase mean, anyway?

In this article, we want to cut through some of the cloudiness that surrounds mathematics and statistics and give our readers some guidelines to help evaluate systems. We also want to share some insight (no pun intended) on some of the tools and research that we use. The information on this site is for entertainment and educational purposes only. Use of this information in violation of any federal, state, or local laws is prohibited. 

What does “Statistical Significance” Mean?

To “normal” people, “significant” means important. To statisticians, however, “significant” means “probably true.” Math people like to quantify things – and “statistically significant” is no different. If something is “statistically significant” at the 95% level, it means that there is a 95% probability that some hypothesis is true. Note that this STILL means that there is a 5% chance that this is false. We’ll use the 95% level as our definition of “statistically significant” for this article.

Applications to Sports Investing

How can we use this? Statistics and math can help us determine if an approach is any good. They can tell us how long we need to study a system. They can also give us some guidelines on how long we might stick with a system.

Depending on the “vig” we pay, we need to win around 51% to 52.5% of our bets. Let’s say we want to test how viable a system is at the 55% winning percentage level. We’d like to win even more, but for the purposes of this article, we’ll use 55% as the threshold that we are testing. Moneylines are a different category, but the thinking is similar.

Proving Statistical Significance

Let’s cut to the chase and see what “statistics” can tell us. There’s a lot of “mumbo-jumbo textbook stuff” but let’s get “down and dirty” and see if we can get a better understanding of statistical significance. In life – and in many problems – it pays to “frame” the answer so you can see if your answer is reasonable. Let’s do that with some thoughts on imaginary sports betting systems.

Let’s say that a system is producing better than 57% over a million games. We’d agree that was pretty good. Is that statistically significant? Yes, it is.
What if, instead of a million games, this 57% was based on 100,000 games? Same thing: pretty good results – AND statistically significant.
What does math tell us? It says that if a system is producing a better than 57% winning percentage, the cutoff is around 2,000 games to prove statistical significance (that the results will beat the 55% winning percentage we chose above).

Leave a Reply