Sports & Fantasy Sports Blog

Author: Bill Jones Introduction Hey football analytics fam, welcome back to my blog! Today, I want to share another one of my studies. I recently saw on twitter a scout visual showcasing the statistic drop percentage for quarterbacks, but I have always considered drops to be a garbage figure, so this caught my attention. Intrigued by this being shown and my preconceived notion being incorrect, I embarked on a quest to uncover the truth through using some basic data science techniques. Together, we'll peel back the layers of this statistical onion and uncover the hidden truths that lie within the realm of drops. Let's kick off this study and get into the data. Ground Rules Before we jump back into the analytics, I would like to let the readers know the ground rules I will be playing with. The data used for this analysis was obtained from Pro-Football-Reference for 2018 through 2022. Additionally, for any quarterback to be included in the analysis they must have had 200 passing a...

Author: Billy Jones Introduction Welcome back to my blog about football analytics (this is my first non-fantasy football blog). In this post, I'll be exploring a topic that I find incredibly fascinating, a statistical analysis of a sports statistic. Specifically, I'll be discussing how we can use regression and R-squared values to review a commonly used football statistic, completion percentage, and hopefully create a better statistic to predict player performance. So where did this come from? My favorite book of all time is “Moneyball: The Art of Winning an Unfair Game” by Michael Lewis and in the book, Billy Beane and the Oakland Athletics used on-base percentage as a competitive advantage over their competitor as on-base percentage had shown to be a more accurate measure of a player's offensive contributions than batting average. On-base percentage takes into account not only how often a player gets a hit, but also how often they get on base in other ways, such as...