Progressive Athletic Performance Premium Monitoring Database

User Manual

Thank you checking out the website and showing interest in this premium version of the progressive

athletic performance monitoring database

This PDF will run through how to use, modify, and troubleshoot some issues that nay occur with this

database.

Contents

Admin Tab

Load Workings Tab

Wellness Workings Tab & Daily Wellness Dashboard

Modifying Wellness Headings

Inserting Raw Data & Modifying Raw Data

Admin Tab

This admin tab drives the date and corresponding week formulas, as well as individual workload

calculations for each athlete. This allows you to choose your start date for your first week of data. It

also allows you to see individual start dates based on when your athlete starts training. As I

explained here, this allows for more accurate individual workload calculations. This works by looking

through the workload data you have collected already, and displaying the first date that appears for

each athlete. You can also highlight your matchdays which will show up on the charts as MD.

Finally, there is an A:C low and high threshold option, which sets thresholds of your choice to display

on the charts.

To add more athletes, ensure you add player numbers beside their name to ensure they are counted

in the workload calculations. The formulas in this database will automatically account for 100

athletes. The matchday lookup will accommodate 48 matches. These can be expanded by

manipulating the vlookup range, within the formulas in the load workings tab.

Load Workings Tab

The load workings tab contains tables that calculate the A:C ratios for the three different metrics –

see this post for more details on how this table functions. This main table takes all the loads from

the workload raw data tab, calculates the moving averages and a:c ratios, and provides the data

needed to build the visual charts and pivot tables.

Wellness Workings Tab & Daily Wellness Dashboard

See this link to a previous and detailed post on how this dashboard is built and functions using the

average, standard deviation and z-score data in the wellness workings tab.

The wellness workings tab also contains an injury database based off the wellness raw data tab. If an

athlete flags a ‘Yes’ In the column, the corresponding injury location will be shown for each athlete

and date. If you modify your wellness headings and how you display injury data then this database

will not work. Depending on how you wish to collect the data will depend on how this equation

should be manipulated.

The wellness dashboard contains a refresh data button to update any data you may have manually

entered. The pivot table in this dashboard is locked onto today’s date – however you could insert a

slicer based on the date if you wanted to scroll through numerous dates at a time.

Modifying Wellness Headings

Some of the variables in the wellness dashboard run on equations outside of the pivot table, which

allows you to display text and not numbers. Be aware that if you change the headings in your

wellness data, the illness and injury location equations will cause an error. The pivot table may also

go blank on refresh.

See the inserting and modifying raw data part of this PDF if your pivot table goes blank.

If you wish to add in your own variables in the wellness data tab, be sure to change the headings on

the main dashboard to coincide with these new headings. Otherwise an error will show up.

=IFERROR(INDEX(Wellness, MATCH($B$3&$A5, Wellness[[#All],[Date]]&Wellness[[#All],[Athlete ]],0),MATCH($H$4,Wellness[#Headers],0)), "") This equation for injuries, looks in all the wellness raw data (named range wellness), and matches

the date in cell B3, and the athlete name in cell A5 of the wellness dash, and matches it with the

date and athlete name columns in the wellness data. Then it matches the heading in H4 with all the

headings in the wellness data tab, i.e Injury. And then you get your match. Hence why the heading

names must match at all times.

If you get this error message pop up, it will mean that if you hit ok the pivot table will expand and

overwrite some of the formulas beside it. Try to avoid this if you can, however it may pop up if you

copy your own large bulk of data in the spreadsheet. If you do hit yes and it overwrites data, simply

hit undo and then make adjustments so other data won’t be overwritten.

The wellness pivot table is based off a series of data which copies the wellness raw data and

converts it into number format, so the pivot can display it properly. Pivot tables cannot display

words, which is why I have set up this range, as I like to keep the words in my questions to athletes,

for ease of use. I then just convert to numbers for my own display. If your own data only uses

numbers, then you could just create a pivot table based off the raw data instead of a helper table.

Changes made to the raw data headings will coincide with a change in this copied data.

Once you have changed your data, you can copy the field items template I have made, and place

your new items in those areas. Remember, if you add in more rows of data you will need to make

sure the data table is resized.

Inserting Raw Data & Modifying Raw Data

The wellness and workload raw data tabs drive all pivot tables and charts. Pivot tables are an easy

way to organise and subcategorize your data. However, they do not take too kindly to headings

being changed.

Watch what happens to any of the workload based tables when I change the name of the “load”

column to “total load”. As you can see below I’ve lost all my visual charts and data.

Pivot tables identify and separate data based on headings. If you change or modify the raw data

headings to suit your needs, you need to reconfigure the pivot tables to recreate the charts again.

To reconfigure the data, simply click on the pivot table and select the field list option. You can see

there is no data in the values area. The newly labelled “total load” field is also not selected. Just click

and drag this field into the values column and your data will appear again.

Once you have dragged it into the values field, make sure it is sum of total load you have selected,

and your data will re-appear once again.

Follow this step whenever you customize any of the wellness or workload headings, or add in your

own variables. Before you do so, it is a good idea to click into the field items list to see which

variables are in each either the filter, column, rows, or values areas, as this will dictate how the pivot

tables and charts present.

If you add more columns of data, for example, you may add in some gps markers, then you need to

resize the table “Sessionload” if you want your pivot tables to take this data in.

Apply these methods to all pivot tables when changing any headings or expanding the data range

(workloads and main wellness pivot on the dashboard).

Thanks for checking out this guide, if you have any further suggestions to make, or spot any other

potential bugs please don’t hesitate to get in touch:

@ progressiveathleticperformance@gmail.com