Multifaceted risk and load management made simple

This dashboard provides a simple and multifaceted analysis of wellness, screening, testing, training, competition metrics and health risk factors to monitor individual response to training. This dashboard simplify the monitoring of the Training Stress Balance (TSB) and immediately identify athletes who are at risk of injury (red), those who aren’t coping well with their workload (yellow), those who are not training at their full potential (blue), and those adapting well to the workload and ready to perform (green).


The dashboard is updated in real-time.



Scientific background

The dashboard combines athletes’ individual daily wellness score, health status and evidence-based workload metrics linked to the apparition of injuries (acute:chronic workload ratios -ACWR- and week-to-week load increase) to provide an immediate global picture of athletes’ level of risk and level of readiness (represented by the color of the first column).

How does it work?

The dashboard is updated in real-time using both data planned by coaches and self-reported by athletes.


Dashboard Items

The dashboard is pre-configured with internal load, wellness and health metrics proven to be effective markers of athlete readiness. These items are presented below. The dashboard can also be customized  in Team settings - Readiness Dashboard to include the metrics and calculations of your choice.


Default dashboard options


sRPE Load = Internal load calculated by multiplying Session RPE x duration measured during training and competition


The dashboard displays ACWR for the past 7 days and the next 7 days (use measured and predicted loads), as well as the cumulative load calculated for the same period (displayed between parenthesis) 


How it's calculated


Method 1: When using Rolling average or EWMA options


Acute load =3-7 day cumulative load (uses reported load for the previous 7 days, including today, and planned load for the next 7 days)

Chronic load= 14-48 days (2-6 weeks) workload rolling average or exponentially weighted moving average

Acute:chronic workload ratio (ACWR) = acute load /chronic load


Method 2: When using Curr week / Next week option


Acute load =1 week cumulative load (based on reported and planned load for the week)
Chronic load =4 weeks rolling workload average

Acute:chronic workload ratio (ACWR) = acute load /chronic load


Note: Acute, chronic period duration and calculation methods can be selected for each field in Team settings-Training Forms


Example:
Last 4 weeks average WL=3500
Current week WL =4500

ACWR =  4500/3500=1.28


Note: When you add custom fields to the dashboard, ACWR is calculated using the same approach.


Week to week load increase (W-T-W Load Inc.)
Workload changes from last week to the current one (in percentage)


% of WL change = ((curr week - last week) / last week)*100


Example:
Last week WL=1500
Current week WL =3500


% of WL change = ((1500 - 3500) / 3500)*100= -57%


The dashboard displays W-T-W LC for the current week and the next


Customizing the Dashboard

The dashboard can be customized at any time to match your needs


Step 1 – Select the markers to display

Team settings->Readiness Dashboard


Step 2 – Select how markers are interpreted


Go to Team settings->Training forms->Custom fields


To change the ACWR formula used with the Internal Load (sRPE), select an option in the ACWR formula (sRPE) list.


To change the ACWR formula used with each custom field, select an option in the ACRW list displayed in the field section.



Calculation formulas


1) Daily z-score: Calculates daily z-score and compare it to the athlete's 4-weeks daily average.  Ideal when you need to identify fluctuations on a daily basis.


2) 3-7d:14-42d ratio:  Divides the last 3-7 days cumulative load to the last 14-42 day rolling average. 


2) 3-7d:14-42d ratio:  Divides the last 3-7 days cumulative load to the last 14-42 day rolling average. 


3) 3-7d:14-42d ratio EWMA:  Divides the last 3-7 days exponentially weighted moving average to the last 14-42

exponentially weighted moving average. 


How to pick the best option

In most situations, using a 7d:28d ACWR will provide optimum risk analysis. Using shorter periods can be useful with very busy competition schedules and/or when athletes are returning from injuries and need a shorter risk assessment.


Wellness score
The daily wellness score is calculated by adding and converting in percentage the points associated with each answer. A total percentage score is given for each category of questions, and the average percentage score of all categories is used to calculate the overall wellness score.


Health
Red color indicates that the athlete is currently injured or has an ongoing health issue

 

Interpreting Dashboard Data

ACWR Risk of injury
Meaning
What to do
 
1.5
Very high
This week WL is excessively high compared to the last 4 weeks. Very high level of fatigue is expected. Risk of injury is increased.


 Reduce WL as soon as possible and aim to bring load back to the green zone (optimal zone). Also reduce next week’s planned WL a large proportion of injuries occurred 1 week after a spike in acute workload
 
1.31-1.49
High
This week WL is high compared to the last 4 weeks. High level of fatigue expected
Acute workload is high in comparison to previous 4 weeks: DO NOT increase this week WL and  keep an eye on wellness markers to optimize load based on individual response
 
0.1-0.79
Undertraining/medium risk
Acute workload is substantially lower than previous 4 weeks.
Very high level of freshness is expected
This week is good if you are deliberately attempting to freshen up your players. However note this “light” week will lower your 4 week chronic load from next week Keep an eye on wellness markers to optimize load based on individual response
 
0.8-1.3
Optimal load
Risk of injury is minimised.
Keep an eye on wellness and week to week load changes

 

Week-to-Week Load Changes
Risk level
Meaning
What to do
 
≥15%
Very high load increase
Increase in WL may be excessive and may overwhelm the athlete’s ability to adapt
Reduce this week WL so it is increasing at a rate less than 10% per week
 
≥10%
High load increase
Increase in WL is greater than recommended
Reduce this week WL so it doesn’t increase more than 10% from last week
 
<10%
Optimal load change
WL change is in recommended zone
Keep an eye on wellness and week to week load changes

 

Wellness Score
Risk level
Meaning
What to do
 
≥80%
High
Today’s wellness score reflects major issues.
Verify the causes of wellness issues (stress? Sleep?, etc) and reduce this week WL until wellness score returns to optimal zone.
 
≥60%
Medium
Today’s wellness score reflects some issues.
Verify the causes of wellness issues (stress? Sleep?, etc) and reduce this week WL until wellness score returns to optimal zone.
 
<60%
Optimal wellness response
Wellness is in recommended zone
Keep an eye on wellness and week to week load changes


Further readings