Sports Analytics Weekly by kubeia.io - 36/2025
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đČ Betting
Pinnacle quietly exits Curaçao office
linkedin.com - Roman K.
Pinnacle, one of the oldest gambling companies, no longer operates from its main Curaçao office, where it was based since the late â90s. According to Antilliaans Dagblad, the Pletterigweg 43 location is empty, staff have been laid off, support is silent, and HR doesnât respond.
Escaping the Odds and a Formula for Life
farhadg.com - Farhad Ghayour
We all make bets in lifeâon our careers, relationships, and decisions. This is a personal story that might change how you approach your own bets, too.From an escape room adventure in Vegas to an obsession with the perfect betting strategy, a friendâs simple question, How should I bet to maximize my returns?, led me down a rabbit hole of math and puzzles, ultimately uncovering the Kelly Criterion. As I deciphered the formula, I realized it extends far beyond finance or gambling.
đ Sports Analytics
Building Marcel, Part II: Age Curves
expectinggoals.com - Michael Caley
The age curve is one of the founding concepts of sports analytics. Anyone can observe that the vast majority of professional athletes are young adults. But the consequence of this fact, that clubs and managers should expect their players to decline as they pass their peak athletic age, has always been hard to apply. Different skills decline faster with age, while others may even improve over a playerâs career. And of course, every person ages differently. Time comes for us all, but time may come for Kevin Lasagna at 26, while Mohamed Salah continues seemingly unaffected well into his 30s.
How to Use Physical Data from Fotmob
substack.com - McKay Johns
Just recently, Fotmob and Sofascore released physical data for the Premier League, which is a great addition in being able to understand some of the physical aspects of the game.
How Do Newly Promoted Clubs Survive In The EPL? Part One: What Do The Numbers Say?
winningwithanalytics.com - Bill Gerrard
So with Leeds United returning to the EPL after two seasons in the Championship, what are the chances that Leeds United and the other two promoted clubs can defy conventional wisdom and avoid relegation? What do the numbers say?
đ€ Machine Learning
How to fine-tune TabPFN on your data
medium.com - Ivan Valchev
TabPFN (Tabular Prior-Data Fitted Network) is a game-changing transformer model designed specifically for small to medium-sized tabular datasets. Unlike traditional ML models that require lengthy training cycles, TabPFN delivers predictions by performing âtrainingâ at inference time through in-context learning â processing both your training data and test samples in a single forward pass. This state-of-the-art approach achieves remarkable accuracy with minimal setup, often outperforming gradient-boosted trees and other tabular baselines. In this guide, weâll unlock its full potential by diving into practical fine-tuning techniques tailored to your unique datasets.
𧟠Statistics
It Takes Long to Become Gaussian
entropicthoughts.com - kqr
A lot of real-world data does not converge quickly through the central limit theorem. Be careful about applying it blindly.
đ© Forecasting
đ© Avoiding Forecasting Pitfalls in 2025: 12 Red Flags When Hiring Data Scientists
medium.com - Valeriy Manokhin
From Transformer hype to time series traps: the subtle mistakes that reveal who doesnât get forecasting.
đźïž Fantasy
Cricket, Fandom, and the Unspoken Price of Fantasy Gaming
substack.com - Mohit
The lucrative but perilous relationship between fantasy sports and the world's second-most popular sport