Pitching and Defense: How Much Control Do Hurlers Have?
Who actually won the revolution?
Everyone wants to go home in extra innings
Those interested in more detailed readings in baseball:
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Pretty much everything at Jim Albert's blog, [https://baseballwithr.wordpress.com/] (https://baseballwithr.wordpress.com/)
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Sabermetric Revolution by Zimbalist and Baumer (link)
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The Book by Tango et al (link)
Kickers are forever* (and read footnote 5), by Morris (link)
Kicker haters, by Morris (link)
It sucks to kick in the cold (link)
Expected Points and EPA, Burke (link)
Building an Expected Points Model (link)
Operations Research in Football (Carter & Machol, link
Going for It on Fourth Down (Burke, link)
Decision Theory in Football (Burke, link)
What was lost (Yam and Lopez, link)
Starting Point for Analyzing Basketball Statistics, Kubatko et al
Demystifying basketball analytics by Partnow
A measure of shot quality by Narsu
On RPM by Wagner
Limits of Analytics by Partnow
A new expected goals model, via Evolving Wild twins
Wins above replacement, via Evolving Wild twins
Repository of all things hockey analytics: Meta Hockey
Expected goals are better via Dawson Sprigings
An expected goals model using ridge regression via Brian Macdonald
Stats made simple via Jen L-C
Expected goals 2.0 via 11tegen11
Best predictor for future performance via 11tegen11
Repeatability of finishing skill via Plueler
12 shots good, 2 shots better via Power of Goals xCommentary via Ted Knutson
Markov models for football via Derrick Yam
Expected goals just don't add up, via Danny Page