Sports Analytics Weekly by kubeia.io - 24/2023

Lightweight, super fast (uses C and Rust libraries) pythonic wrapper for Betfair API-NG allowing all betting operations (including market and order streaming) and account operations

Ban will apply worldwide to all of media group’s online and print outlets, including the Guardian, Observer, and Guardian Weekly.

It’s June, so we are still early in this offseason’s QB analysis circle of life. It starts with overhyping the future pro prospects of the next group of quarterbacks. Then we watch the games, and new narratives take hold. After the season, the focus shifts to measurables, intangibles, and the all-important leaked cognitive test scores. Then the draft comes and everyone is shocked by who is drafted when. Rinse and repeat.

Saudi Arabia’s crown prince, Mohammed Bin Salman, is on a one-man journey to transform how his nation is seen — both by the global community and by its own 35 million people.

It is infamous for a scourge of human rights abuses, including the criminalisation of homosexuality, severe restrictions on freedom of speech and women’s rights, and the murder of Jamal Khashoggi. In combatting that reputation, plus appeasing a rapidly growing and youthful population, Bin Salman has alighted on sport — he views it as critical to solving that equation.

Over the past decade, the sports world has witnessed a dramatic shift in the way teams and athletes approach competition. The rise of data-driven decision-making has revolutionized how sports teams operate, with Major League Soccer (MLS) being no exception. In this article, we’ll unravel the impact of analytics on MLS and explore how it has transformed the game’s evolution.

The soccer analytics community continues to thrive, attracting an increasing number of enthusiasts who are interested in the data side of the sport. Although professional clubs are increasingly seeking out talent for data roles in the community, a wealth of exciting soccer analytics research has appeared in the public space in the past year. However, with the growing interest in soccer analytics, it can be challenging to sift through all of the available content, especially for those new to the community. Therefore, I have compiled a list of my favorite research papers, blog posts, and news articles from the past year to help you navigate the abundance of information.

This post demonstrates how to use Superb AI Suite to prepare a high-quality computer vision dataset that is compatible with TAO Toolkit. It walks through the process of downloading the dataset, creating a new project on Suite, uploading data to the project through Suite SDK, using Superb AI’s Auto-Label capability to quickly label the dataset, exporting the labeled dataset, and setting up a TAO Toolkit configuration to use the data. 

In investing, some terms are used interchangeably, despite these having quite different technical interpretations.

The same applies to diversification and hedging strategies, which are often considered the same, but are not. Hedging refers to protecting a portfolio against a stock market crash, while diversification is about finding strategies that offer uncorrelated returns to equities.

In this article, we will contrast both strategies.

In this article, we’ll explore a powerful causal inference technique that I believe every data scientist should have in their toolbox.

Lag features, Rolling aggregations,…

Welcome to my free video course in high dimensional probability. I am Roman Vershynin, professor of mathematics at the University of California, Irvine, and the author of the textbook "High dimensional probability. An introduction with applications in Data Science."This course builds probabilistic foundations for theoretical research in modern data science. You will learn some methods that form an essential toolbox for anyone looking to do mathematical work in machine learning, theoretical computer science, theoretical statistics, signal processing, etc.

Now, have you ever stopped to think about the technologies and infrastructure that it takes to host and support ChatGPT?

In this video, Mark Russinovich, Microsoft Azure CTO, explains the technology stack behind their purpose-built AI supercomputer infrastructure. It was developed by NVIDIA and Microsoft Azure, in collaboration with OpenAI, to host ChatGPT and other large language models (LLMs) at any scale.

In those old times in Korea, traders, even HFT ones, didn’t get access to the exchange directly. You had to go through a broker gateway and use their broker specific API to connect. There was no co-location. A great deal of the variation in performance, beyond a broker’s control, was simply due to the location and exchange-provided technology. Now, the KOFFEX was the futures and option trading bit. KOFFEX was based in Busan, a seaport town a little over 300km away from Seoul. The KOSPI 200 products were small in ticks but large in volume. They were the most popular derivative contracts in the world by around a factor of nearly ten back then. Eurodollars at CME were number two and K200 options were number one in volume. This had proved a bit too much to handle for KOFFEX. They had the K200 market run, on their behalf, by KSE in Seoul. So everything we needed was in one location in Seoul, although the primary derivative platform was based in Busan.

Motivated by the industry practice of pairs trading, we study the optimal timing strategies for trading a mean-reverting price spread. An optimal double stopping problem is formulated to analyze the timing to start and subsequently liquidate the position subject to transaction costs. Modeling the price spread by an Ornstein-Uhlenbeck process, we apply a probabilistic methodology and rigorously derive the optimal price intervals for market entry and exit. As an extension, we incorporate a stop-loss constraint to limit the maximum loss. We show that the entry region is characterized by a bounded price interval that lies strictly above the stop-loss level. As for the exit timing, a higher stop-loss level always implies a lower optimal take-profit level. Both analytical and numerical results are provided to illustrate the dependence of timing strategies on model parameters such as transaction cost and stop-loss level.

Discussions around creativity differ from risk and reward in that being creative entails going beyond just doing something obvious but useful, to accomplishing something useful but in a unique or atypical way. Based on these intuitions, a player performs a creative action when it (1) differs from the typical action that most players would have selected in the given game state, and (2) has more promising results than this typical choice. We capture this idea in a single value per action and define the creative decision rating (CDR) for passes as a composition of three estimates: the likelihood of each possible pass destination, the long-term reward of each passing option and the success probability of each passing option. Eventually, the creativity of a pass is quantified by the difference between the expected values of the chosen pass option and the predicted typical pass.

Pricing Money: A Beginner’s Guide to Money. Bonds, Futures and Swaps was written by J. D. A. Wiseman between autumn 2000 and April 2001, and was published by Wiley in September 2001. On 15 November 2019 Wiley kindly returned the copyright to the author. Following which, the original text is now published at www.jdawiseman.com/PricingMoney.html.

Minor typographical errors have been repaired, but there have been no alterations that change meaning. As browsers have a search facility, the index has been omitted. As this is a web page rather than a physical book, the Acknowledgements have been moved to the end. Modern authorial comment, so not before November 2019, is shown green-boxed.

In the latest SBC Podcast I am joined by someone who has done it all. Bookmaking, professional punting, media work… two Silver medals at 2023’s SBC Awards – welcome to the world of Johnny Dineen!