To Rest or Not to Rest? That is the Question
We look at a really interesting topic with no easy answer: planning the microcycle in elite football.
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.
Elite Football Injury Risk Explained, Part 2: Further Insights into Hamstring Strains
In this post, we provide further insights into the ‘expected’ injury counts per week/month of hamstring strain, which is the most common injury encountered in elite football (soccer) (Ekstrand, 2021).
エリートサッカー選手の怪我リスクを解説（その2）ハムストリングの張りについてのさらなる洞察
このフォローアップ記事では、エリートサッカーで遭遇する最も一般的な怪我であるハムストリングの張りの週/月あたりの「予想される」怪我の数について、さらなる洞察を提供します（Ekstrand, 2021）。
Elite Football Injury Risk Explained
Injuries happen. We may put a lot of effort into different strategies trying to mitigate them, but unfortunately they still happen.
エリートサッカー選手の怪我リスクを解説
怪我はつきものです。 私たちは、それを軽減するためにさまざまな戦略に力を注ぎますが、残念ながらそれでも発生してしまいます。
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 […]
Student-Athlete Welfare: Managing the Complete Athlete
NCAA teams are taking new steps to improve student-athlete welfare, including using the data they are collecting to get a 360-degree view of each individual
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 […]
