This is a review of the sports research conducted by Nicholas G. Polson and Hal S. Stern applying a distributional model and Brownian motion process. Why do we like to watch sporting events? One main reason is that we can never be sure of the outcome of the event until the end. There is always…
The post Sports Analytics Model – Brownian Motion Process appeared first on Agile Sports Analytics.
https://www.agilesportsanalytics.com/brownian-motion-process/
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The Agile Basketball Framework, developed by Victor Holman, uncovers better ways of creating team synergy, improving team dynamics and applying real-time and historical analytics in order to reach team goals. The rules of the Agile Basketball Framework integrates the pillars, roles, events, and artifacts guiding the relationships and interactions between them. Agile Basketball employs an iterative, incremental approach to optimize performance and adapt quickly to change.
The concepts of Agile Basketball are described throughout this blog. Complete buy-in to philosophy, team strategy and game plan coupled with commitment to continuously gain a deeper understanding of how to measure team and player value through analytics are key fundamentals to this process.
In Agile Basketball value is placed on the fundamentals, focus is placed on team synergy, and no player is more important than the team. Each player maximizes their value based on the needs of the team for any particular game or match-up.
In this guide Victor Holman provides a step by step approach for measuring value, improving player IQ and creating team synergy.
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