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Injury Analytics in Sport: Beyond the Black Box

Recent advances in techniques to explain machine learning models are opening up models that were previously considered black box models. This, in conjunction with the injection of sports domain knowledge and club context through robust data explorations, feature engineering and feature selection, combine to allow practitioners to see the reasoning behind the model outputs and enable them to incorporate into their decision-making.

Modern Analytics for Football Associations

Data analytics is changing the sports industry. Many forward-thinking organizations are already investing in data analytics to create an advantage that can impact on-field success at national and league levels. By having data about each athlete, these teams are better equipped to achieve more consistent performance on and off the field, improve talent development, and […]

Investing in Pace-Innovation-Partnership

Today we announced a $52M round of funding, one of the largest investments in our industry. I’m incredibly proud about what this says about what we’ve accomplished as a company so far and even more excited about the resources this will give us to double down on the current work we are doing with our […]

Getting More From Your Data

Shared intelligence provides context, drives focused action, and powers reflection and improvement. Context is King Players are complex, the game is complex. Load is just one component. And numbers matter as does coaching instinct, experience and perspective. Creating a complete picture of your players requires not only the ability to integrate all of your data […]

Return to Play? Return to Perform!

In modern sports medicine, returning athletes to play is no longer enough. The ability to return athletes quicker than ever, and in a state of readiness to perform at a high level is crucial to team success.

MLS NEXT Registration Support

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