AthleteMonitoring.com Just Got Better – April 24, 2017

Interested in learning more about AthleteMonitoring.com? Schedule a FREE DEMO!


Integration with VX Sport GPS Devices

To simplify the integration of external load measurements and provide a more comprehensive workload and risk analysis, we’ve worked with VX Sport to streamline and simplify data exchange between VX Sport GPS systems and the AthleteMonitoring platform. Learn more…

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More Intuitive Injury & Illness Reporting

To simplify the way athletes and staff report injuries, illnesses and pain, we have added an intuitive, interactive body map on the web application (Note: iOS and Android apps will updated shortly). Read more…

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Welcome to our Latest  Clients

We work hard every day to make AthleteMonitoring.com better and it is very encouraging to see that since it’s humble beginning in May 2015, it now helps coaches, teams and athletes performing at their best in 28 countries and 48 sports.

Welcome to our latest clients. Thank you for your trust and confidence!

Vlaamse Kano & Kajak Federatie, Belgium

Olympique de Marseille Féminines, France

Mosman Physio, Australia

Coastal Outreach Soccer, United States

Athlete Nation, New Zealand

Samoa Institute of Sport, Samoa

Stellenbosch University, South Africa

Bedford School, United Kingdom

St Columba Anglican School, Australia

Kentucky Air National Guard, United States

Drammen Sportsklinikk AS, Norway

SO Millau JUDO, France

Stingrays Swimming, United States

Holland Football University, The Netherland


Readings you May Enjoy

The Association of Sport Specialization and Training Volume With Injury History in Youth Athletes

By Post EG et al. Am J Sports Med. 2017 – Read article


Workload Management 101 : Avoiding Spikes in Weekly Load

Monitoring Week-to-Week Load Increase

Studies have shown that a large percentage of injuries are associated with rapid change in weekly loads (1,2,3), and when load increases by ≥15 % from the preceding week, the risk of injury increases by up to almost 50 % (2).

In the example below, we’ve used AthleteMonitoring.com to analyze the weekly load of a professional rugby team during a 4 months period. Exessive weekly load increases have been detected on 2 occasions, during which the players were at an increased risk of injury. In this example, the S&C coach wisely decided to reduce the load of the subsequent week, which allowed players to recover and limit the risk of injury.

To minimize risk, increase weekly loads very progressively (10% or week or less), monitor week-to-week load changes to detect excessive load increases, and when a spike in load occurs, immediately reduce next week’s load, as shown in the example below.

 

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References

1. Foster C.: Monitoring training in players with reference to overtraining syndrome, Medicine & Science in Sports & Exercice, 1998.

2. Gabbett TJ.: The training—injury prevention paradox: should players be training smarter and harder?,  Br J Sports Med, 50:273–280 2016.

3. Piggott B, Newton MJ, McGuigan MR. The relationship between training load and incidence of injury and illness over a pre-season at an Australian Football League club, J Aust Strength Cond, 17:4–17, 2009.

AthleteMonitoring.com Just Got Better !


New Graphs for Better Workload Management

With AthleteMonitoring.com you can now visualize all important workload management metrics on a single graph. With this new graph, you can view and compare wellness, acute and chronic loads, acute:chronic workload ratio, monotony, activity-specific workload and more, for any period, team or athlete.

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To open the graphs, click the graph icon from the team dashboard or select the Team charts option from the team menu. Then select the Combined option on the Team charts screen. Learn more…

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We’re Always Learning

On March 16-18, our CEO Francois Gazzano will be in Monaco to learn from the best sport scientists and sports medicine experts at the IOC WORLD CONFERENCE ON INJURY AND ILLNESS IN SPORT. Expect some of this new knowledge to find its  way into AthleteMonitoring soon!

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Interesting Readings You May Enjoy

Managing player load in professional rugby union: a review of current knowledge and practices

By Quarrie K et al. – Read article

Sports medicine in cycling – Practical considerations for endurance training with power

Simon Jones, Team Sky – Read article

 

A New Approach to Player Readiness and Risk Assessment

We are very pleased to announce the release of AthleteMonitoring.com’s new team readiness dashboard, the first software to include acute:chronic workload ratios in the risk assessment logic.

Based on the latest work by sports scientist Dr Tim Gabbett the Team Readiness Dashboard combines athletes’ self-reported overall wellness score, current health status and evidence-based workload metrics (acute:chronic workload ratios and week-to-week load increase) to provide an holistic picture of each athlete’s level of risk and readiness.

Alerts and dashboards are updated in real-time using individual planned and reported data.

Evidence-based algorithms are used by the dashboard to detect issues and to identify athletes who aren’t coping well with their current workload (and to explain why), those who are not training at their full potential, or those are 100% ready to perform.

Free Demo available, click here to learn more.

 

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New study’s findings supports AthleteMonitoring.com’s data analytics model

A new study just published by the International Journal of Sports Physiology and Performance shows that, in professional rugby,  the risk of injury increases in a linear fashion when:

  1. One-week cumulative loads exceed 1245 AU
  2. Week-to-week load changes exceed 1069 AU
  3. Four-week cumulative loads exceed more than 8651 AU

Load in arbitrary units (AU) being calculated from the perceived rating of session difficulty multiplied by session/match duration in minutes (session-RPE x duration).

These variables are automatically monitored by AthleteMonitoring.com’s built-in algorithms. Therefore, this new study’s findings provides further support for AthleteMonitoring.com’s data analytics model, while providing another evidence that effective risk assessment and injury prevention doesn’t require expensive wearable technologies and can be both simple and inexpensive.

Cross et al.: The Influence of In-Season Training Loads on Injury Risk in Professional Rugby Union, International Journal of Sports Physiology and Performance, 2015.