Welcome
117th issue.
Officially November! Remember to turn back the clocks this weekend.
Before you do, five fun articles to checkout! Jitterbug and juke stats for NFL RBs lead us off. Next, a technical review of how DraftKings builds Monte Carlo simulations for tennis. I think it's rad. Another technical review follow, but this one for visualizing college football ELO ratings. On the back half, a review of how Premier teams press, and how Tommy Pham turned his World Series around.
I am interested in sports-related data science opportunities within the betting or DFS space. Know someone I should chat with?
This Week's Lineup
The Best NFL Running Backs at Juking and Cutting Past Defenders
Looking at the advanced data to pinpoint the best NFL running backs at juking and cutting past defenders. I wonder what Barry's stats would have been.
Building a Tennis Simulation
Using tennis to explore the process of building a Monte Carlo simulation model, the basis for the majority of our sports engines at DraftKings.
Talking Tech: Creating Charts with matplotlib
Using matplotlib to create NCAAF charts. Great walkthrough using Michigan as an example!
How every Premier League team presses – and what it means ($)
Spurs are pressing completely differently to last season - this is what the 20 clubs are doing, what that means and how it has changed
How Tommy Pham Turned Things Around
Pham caught fire in the World Series. What adjustments did he make? Was it just luck in a small sample size?
Please Forward
Was this email forwarded to you? Sign up here >>
Unexpected Points Added is curated and maintained by Patrick Hayes.
I have completed a Master of Applied Data Science from the University of Michigan; let's connect.
Send me an email with your feedback or questions. I respond to every single one.