Photo courtesy Dan Slovitt
The previous posting analyzed the available statistics on Masters Women’s 100m and tried to make some sense of all the numbers. Let’s do the same with the Men’s 100m and follow where the numbers lead.
We have charted the average time for Men’s 100m by age group (in blue) versus the existing World Record (in red) for each age-group (note the M90 average is blank because the number of performances is fairly low from our reporting years 2013-2016). See full size Mens100m
One thing to note is the early Men’s WRs (M35 and M40) which are 9.92 and 9.93, held by 2 incredible Olympians (Justin Gatlin and Kim Collins). Secondly, except for the big increase between M40-M45 in the WR (and that is due to the incredibly small increase of 0.01 second in the WR for M40 by Kim Collins), the upward slope (ie the decline in performance) is gentler for the WR line than it is for the “average” male sprinter. But both lines slope rather gently (certainly more gently than Women’s) until M80 in the average line, and M90 for the WR.
As the table below shows, the average ANNUAL decline in 100m performance is very similar if you look at the WR and at the average as I have calculated from mastersrankings.com. Close, but generally we slow down a little bit more for the “average” than the WR might indicate. That is until M75 when the difference becomes much more pronounced (and perhaps this is partially due to the decreasing participation rate in the older age-groups)
Typically your performance will erode around 1/2% per year until M50, 3/4%-1% or so annually until M70, and then 1 1/2-2% a year until you hit 85.
|Age-Group||World Record||WR Avg Annual Decline||Men's Avg 100m Time||Avg Annual Decline|
So as I tried to point out in the Women’s case, even though your training is good and consistent, as you move into a different age-group, your age-grading may slowly get worse, and you may not understand why.
Here’s the answer. Not to worry. You’re typical!
I plan to investigate this with more cuts at the various percentiles to see where the changes begin to occur between “elite” and average. I’m very curious about this.
But my next project is to look at the decline over time in endurance. So next up will be the 1500.
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