Advanced Basketball Analytics With DARKO

Speaker

Konstantin Medvedovsky

Details

In this speaker talk, we'll learn how Machine Learning and statistics are used to model how well a basketball player is likely to perform based off of individual and team performance.

DARKO is a statistical metric that combines bayesian inference with machine learning to develop game-by-game estimates of how well a player is likely to perform in the future.

It's considered the most useful player metric that's publicly available, and is used by NBA front offices across the league.

In this talk we'll hear from its creator about how it's derived, the details of how it learns from data, as well as design principles that need to be considered when incorporating Machine Learning and analytics for sports.

This is a fantastic opportunity for anyone who has an interest in sports analytics, or who wants to see first hand how analytics has to be crafted to fit very particular business use cases.

Event type:
Speaker Series
Preparation:
None
June 14, 2023
7:00 pm
-
8:30 pm
June 14, 2023
In Person
151 W 30th St, 3rd Floor, New York NY, 10001

While this event is FREE, tickets are required & space is limited!

Attend this event

About the speaker

Konstantin Medvedovsky

Data Scientist

Kostya is an antitrust lawyer and hedge fund analyst in his day job, but has a passion for data analytics and statistics. He developed the DARKO basketball projection system in his down time at work. DARKO has gone on to be voted the best public analytics system by NBA league executive. He works in python and has coding hygiene that would make most of you wince. He lives in New York with his wife and three kids.

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