Injuries, Illnesses, and the Cost of Absences

Imagine this scenario: two teams participate in the same competition with roughly the same financial and human resources. 18 of United’s 20 players are available to train and play over the whole season. Meanwhile, only 15 of City’s players are available. The disparity in player availability between the teams is 15 percentage points (90% vs 75%). This situation generates negative costs for City in comparison to United.

Every coach, fitness coach, technical director, doctor, physiotherapist, and club executive recognises and comprehends this scenario, but do they know the current and historical situation in their respective teams and clubs? Do they understand the type of direct and indirect costs related to this phenomenon? And are they capable of managing those risks accordingly? Here, we argue why every person in these roles at all levels of sport should monitor and manage absences and related costs.

How should we define injuries/illnesses and what are the associated costs?

Finnish mobile app challenges heart rate and movement sensors in training analysis

Quanter is a mobile service developed for sports teams that follows players’ workload, recovery, and other key factors affecting performance. The easy-to-use mobile app collects players’ evaluations through automatic notifications and challenges traditional heart rate and movement sensors in player monitoring.

How does Quanter challenge HR and movement sensors? (also in Finnish)

Quanter Research Part 1: Relationship between subjective & objective monitoring methods

Last month marked Quanter’s second birthday, and the beginning of a third year of the daily collection through a mobile app of subjective data from players in professional and youth sports teams. This player monitoring system’s core variables relate to training load (sRPE) and recovery factors, as well as injuries & illnesses. While not yet quite on the ‘Big Data’ scale of Google or Facebook, the growing dataset is certainly large, consistent, and our research into the prediction of injury/illness risk is becoming more and more compelling. But before we could get to Quanter’s predictive analytics, the validity of the system’s methods needed to be examined. We are very pleased to say that we have now performed this research; and the results dictate that Quanter’s simple subjective methods must be considered an important tool in the monitoring toolbox, either independent of, or better yet alongside, the quasi-objective measures of HR monitors and GPS trackers.

What is the relationship between objective measures and Quanter’s subjective methods?

Standing on the shoulders of giants

An immense amount and quality of work is done every day the world over by a vast range of sports scientists, both in research and on the field. It is a truism to say that we – and Quanter – would be nowhere without them and their contributions to the knowledge base on sport performance and injury/illness risk. In recognition of their efforts, we dedicate our first blog post to those giants on whose shoulders we stand.

So, this post outlines the core influences on both the Quanter app and all the work we do to support the development of team sports. The concepts and methods we use are at the cutting edge of sports technology and applied research. At the same time, they drive at holism and simplicity, rather than isolating factors of athletic performance. These are the paradigms in which we operate, and the inspirations of researchers and practitioners whom we follow.

What are our core influences?