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28th issue. I unexpectedly skipped last week, but back and still on cloud nine after a big maize and blue victory over the team that plays in the snakepit.
This week we get a double-dose of soccer for predicting player values and analyzing why MLS has the strongest homefield, a Stathead UI update, Chess!, and a look fastballs in a 0-1 count.
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This Week's Lineup
Machine Learning Predicts Premier League Player Values
The notebook conducts a Linear Regression Machine Learning analysis to predict English Premier League player values for the 2019/2020 season. In-depth!
Stathead Adds Player Filters to More Tools
Stathead updates focus on filter standardization, and I figured it was a worthy FYI as I use it semi-frequently.
The 2021 World Chess Championship Race
Through four games the match sits at 2-2 and appears to be the most accurate world chess championship ever played.
How Away Teams Win in MLS
They don't do it enough; that's the issue. MLS home-field advantage is the highest amongst the top 5 sports in the United States, and even in all of professional soccer. Lengthy analysis.
Markov Sequences, 4-seamers on 0-1 counts
Did the kind of pitch thrown for a strike as a first-pitch impact how the batter approaches the 0-1 4-seam fastball?
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Unexpected Points Added is curated and maintained by Patrick Hayes. If you have questions or suggestions for the newsletter, just reply to this email. I answer every single one.