Sports Analytics Weekly by kubeia.io - 28/2025
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📝 Sports Analytics
You Shall Not Pass
pythonfootball.com - Python Football Review
Ranking elite shot-stoppers with xGOT—plus the World Cup
Using Goals Added Subcategories for Player Evaluation
americansocceranalysis.com - Paul Harvey, Mike Imburgio, Ben Bellman
Since it was introduced, Goals Added has been superior to most of the publicly available algorithmic rating systems, such as those provided by WhoScored, SofaScore, or Fotmob. The additional context of just how much each action is contributing to the likelihood of scoring provides more information than simply evaluating a player based on the number of certain actions (the value of those actions also weighted by a human being, introducing bias). Similarly, basing scoring on a known currency of goals is simply much more intuitive than some nebulous 0-10 rating scale.
🤖 Machine Learning
Patterns, Predictions, and Actions
mlstory.org - Moritz Hardt and Benjamin Recht
n its conception, our book is both an old take on something new and a new take on something old.
Looking at it one way, we return to the roots with our emphasis on pattern classification. We believe that the practice of machine learning today is surprisingly similar to pattern classification of the 1960s, with a few notable innovations from more recent decades.
This is not to understate recent progress. Like many, we are amazed by the advances that have happened in recent years. Image recognition has improved dramatically. Even small devices can now reliably recognize speech. Natural language processing and machine translation have made massive leaps forward. Machine learning has even been helpful in some difficult scientific problems, such as protein folding.
However, we think that it would be a mistake not to recognize pattern classification as a driving force behind these improvements. The ingenuity behind many advances in machine learning so far lies not in a fundamental departure from pattern classification, but rather in finding new ways to make problems amenable to the model fitting techniques of pattern classification.