Sports Analytics Weekly by kubeia.io - 47/2023
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đČ Betting
â Today, I'm going to talk about my mistakes as a bettor
twitter.com - nishikori
When decisions are made by your mind rather than an algorithm, correcting certain biases can be complicated.
Colleges face gambling addiction among students as sports betting spreads
theconversation.com - Jason W. Osborne
Three out of four college students have gambled in the past year, whether legally or illegally, according to the National Council on Problem Gambling.An estimated 2% to 3% of U.S. adults have a gambling problem. The portion of college students with a problem, however, is potentially twice that number â up to 6%.As an educational psychologist who follows gambling in America, I foresee the potential for gambling on campus to become an even bigger problem. Sports betting continues to expand, including on college campuses, since a 2018 Supreme Court ruling allowing states to make it legal.
✠Sports
Barcelona, from bust to back in two years â Neymar, Messi and âleversâ
theathletic.com - Matt Slater
In the second part of our series âCrisis Clubsâ, examining the financial states of five European football clubs, Matt Slater digs into the numbers, analyses how and why things are so perilous, and plots a potential way out for Barcelona.
đ Sports Analytics
Playing Under Pressure: Central Midfielders In 2022/23
statsbomb.com - StatsBomb
Itâs no secret that football is in the 'Age Of The Press'. Itâs more common than ever to see teams take an aggressive approach to winning the ball back across various areas of the pitch. The rise of the press-resistant midfielder has been a by-product of this era and itâs now more important than ever for a squad to contain players who can handle the ball under pressure, so letâs take a look at some of Europeâs finest.
Another way of ranking the international top scorers (II)
football-rankings.info
There came quite some reactions and suggestions on my first post about another way of ranking the international top scorers. I can only agree with the main criticism: the measure of how valuable the top scorer is, could be better contrived than by calculating the average elo-points of the opponent per goal scored. This measure indeed mainly indicated that some top scorers played mostly weaker opposition.
Another way of ranking the international top scorers
football-rankings.info
Normally you don't see anything in this blog about individual players, because they are not my main interest in NT-football. It's about the national teams for me. But recently there was a request from a long-time reader about the ranking of international top scorers, in combination with the strength of the opponents against which they scored their goals.
đ€ Machine Learning
Sources of Uncertainty in Machine Learning -- A Statisticians' View
arxiv.org - Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann
Abstract:Machine Learning and Deep Learning have achieved an impressive standard today, enabling us to answer questions that were inconceivable a few years ago. Besides these successes, it becomes clear, that beyond pure prediction, which is the primary strength of most supervised machine learning algorithms, the quantification of uncertainty is relevant and necessary as well. While first concepts and ideas in this direction have emerged in recent years, this paper adopts a conceptual perspective and examines possible sources of uncertainty. By adopting the viewpoint of a statistician, we discuss the concepts of aleatoric and epistemic uncertainty, which are more commonly associated with machine learning. The paper aims to formalize the two types of uncertainty and demonstrates that sources of uncertainty are miscellaneous and can not always be decomposed into aleatoric and epistemic. Drawing parallels between statistical concepts and uncertainty in machine learning, we also demonstrate the role of data and their influence on uncertainty.
𧟠Statistics
Have you ever seen data that contradicts your expectations?
twitter.com
It could be due to Simpson's Paradox. Trends in different groups can reverse when combined.