In this fourth (and hopefully final) entry in my “Icing the Kicker” series of posts, I’m going to jump back to the first post where I used tidymodels to predict whether or not a kick attempt would be iced.
In my last post I looked at the causal effect of icing the kicker using weighting. Those results found that icing the kicker had a non-significant effect on the success of the field goal attempt with a point estimate of -2.
In my prior post I looked at when coaches were most likly to ice a kicker where ‘icing a kicker’ means for a defense to call a timeout right before the offense is about to kick a field goal.
I’m constantly on the lookout for things I can use for future posts for this blog. My goal is usually two-fold. First, what is a tool or technique I want to try/learn and second is there an interesting data set that I can use with those tools.
In my previous post I looked at College Football Non-Conference games to create a network map overlaid on top of the United States using the {ggraph} package. In this post I’ll be extending that to examine Conference Realignment, which is when colleges change from one conference to the next.
We’re in the middle of College Football’s bowl post-season and I’d been wanting to do a more in-depth post on networks using {tidygraph} and {ggraph} for a while. So now seemed like as good a time as any to explore some College Football data.
I love movies. I enjoy watching them, I enjoy reading about the industry (sometimes), and as a bit of a data-nerd (exhibit a: my blog), I enjoy learning about the outliers in the industry.
Since 1998, MTV’s The Challenge (formerly the Real World/Road Rules Challenge) has graced the airwaves where it is currently in Season 37. In a prior post I had mentioned that this is one of my guilty pleasure shows so this will likely not be the last post that is based around America’s 5th professional sport.
Introduction Between January 13th and January 27th, 2021 the stock price for Gamestop (GME) rose 10x from $31 to $347 dollars. This rise was in part due to increased popularity on the Reddit forum r/wallstreetbets looking to create a short squeeze and because they “liked the stock”.
I’m a big proponent of enabling the reading time option on this blog which uses Hugo’s academic theme. I always appreciate seeing it on other blogs so I know how much time to invest in the post.