I had often thought about how one could better compare girls with muscle. I found the idea of comparing muscle mass relative to height to be the fairest. So all I had to do was look for formulas that would help me with this. Finally I stumbled upon MMI.
Muscle mass = body weight - implants - fat mass x 1.282 - 7.6 x (height in m²)
MMI (Muscle mass index) = muscle mass / (height in m²)
The mean values +/- standard deviation are assumed for women: 5.0 ± 1.9 kg/m².
Now I define the FMME (female muscle mass equivalent): MMI of 5.0 kg/m² corresponds to FMME of 100, so in simple terms FMME = 20 * MMI.
The following information is required for the calculation: height, weight, (weight of the implants) and body fat percentage.
However, all values are rarely available at the same time. Therefore, I first calculated FMME values for a few cases and assigned them to their images at bodyspace.bodybuilding.com. These images with a calculated FMME value can later serve as a basis to estimate an FMME value for images of other athletes. Ideally, there would be a grid with comparison images for each box. In the following sketch, I have boxes with side lengths of 10 (for FMME values) and 2 (for body fat percentage).
The division into categories is of course quite rough. The category for bodybuilding athletes, for example, could start below 300, and the category for sporty girls below 150. The assignment to the top X% of the relatively most muscular women (say between 20 and 45 years) is only a playful guess.
In the following overview I have compiled selected (maximum) FMME values sorted by categories:
For the four female bodybuilders, I took information from wikipedia, herbiceps and bodyspace.bodybuilding and in most cases estimated the body fat percentage quite roughly.
For the Japanese female bodybuilders, I was able to use an Instagram post with very precise measurements for Yôko Shimizu; unfortunately, without a picture (https://www.instagram.com/p/ClYBIdvvXCP/; off-season). The remaining three FMME-value ranges are based on the entry lists of the tournaments, in which the height and weight of the athletes were stated. For the former national series champion Utako Mizuma, I assumed a body fat percentage between 8% and 13%, and for the other two between 10% and 15%.
I estimated FMME values of celebrities and others mainly based on the impression they gave in their pictures. For Queen Letizia I had initially assumed 130-150, but after looking at the pictures on this page I increased it to 160. For Brie Larson, I estimated 160-170, which was confirmed by a blog post (which estimated her body fat percentage). I watered it down to 155-175 and then expanded it to 180 for her later training improvements. I was most unsure about kittybitcosplay. At first I wanted to take 210-240 and then reduced it to 200-230.
(I suspect that the appearance (visible muscularity) changes most quickly between FMME values 140/150 and 200.)
So that's my first attempt at this: I calculated some FMME values, downloaded some pictures from bodyspace.bodybuilding and roughly estimated FMME values for some girls with muscles.
I haven't thought of any other applications yet. In another thread, someone asked whether a feature could be added to indicate muscularity/size (from 1 to 10). But I have my doubts that something like this could be solved so easily with FMME values. (Especially since in most cases only ranges of FMME values can be specified.)
What do you think of this FMME idea? Would you estimate the FMME value range differently for some girls with muscles? Do you have any ideas on how to visualize the values/value ranges? Is there anyone who can estimate body fat percentages well? (It would be very helpful for athletes in general and for Japanese athletes in particular.)
Thanks. I had already done the first calculations last year. But it wasn't until I came up with the idea of estimating body fat percentage given a known height and weight that things really got rolling.
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I had often thought about how one could better compare girls with muscle. I found the idea of comparing muscle mass relative to height to be the fairest. So all I had to do was look for formulas that would help me with this. Finally I stumbled upon MMI.
The following information is required for the calculation: height, weight, (weight of the implants) and body fat percentage.
However, all values are rarely available at the same time. Therefore, I first calculated FMME values for a few cases and assigned them to their images at bodyspace.bodybuilding.com. These images with a calculated FMME value can later serve as a basis to estimate an FMME value for images of other athletes. Ideally, there would be a grid with comparison images for each box. In the following sketch, I have boxes with side lengths of 10 (for FMME values) and 2 (for body fat percentage).
The blue dots indicate cases where I have at least two comparison images for a person with a specific FMME value and body fat percentage. The extreme cases are ladymeag (https://bodyspace.bodybuilding.com/permalink/...) and Katka Kyptova (https://bodyspace.bodybuilding.com/photos/vie...).
The division into categories is of course quite rough. The category for bodybuilding athletes, for example, could start below 300, and the category for sporty girls below 150. The assignment to the top X% of the relatively most muscular women (say between 20 and 45 years) is only a playful guess.
In the following overview I have compiled selected (maximum) FMME values sorted by categories:
For the four female bodybuilders, I took information from wikipedia, herbiceps and bodyspace.bodybuilding and in most cases estimated the body fat percentage quite roughly.
For the Japanese female bodybuilders, I was able to use an Instagram post with very precise measurements for Yôko Shimizu; unfortunately, without a picture (https://www.instagram.com/p/ClYBIdvvXCP/; off-season). The remaining three FMME-value ranges are based on the entry lists of the tournaments, in which the height and weight of the athletes were stated. For the former national series champion Utako Mizuma, I assumed a body fat percentage between 8% and 13%, and for the other two between 10% and 15%.
I estimated FMME values of celebrities and others mainly based on the impression they gave in their pictures. For Queen Letizia I had initially assumed 130-150, but after looking at the pictures on this page I increased it to 160. For Brie Larson, I estimated 160-170, which was confirmed by a blog post (which estimated her body fat percentage). I watered it down to 155-175 and then expanded it to 180 for her later training improvements. I was most unsure about kittybitcosplay. At first I wanted to take 210-240 and then reduced it to 200-230.
(I suspect that the appearance (visible muscularity) changes most quickly between FMME values 140/150 and 200.)
So that's my first attempt at this: I calculated some FMME values, downloaded some pictures from bodyspace.bodybuilding and roughly estimated FMME values for some girls with muscles.
I haven't thought of any other applications yet. In another thread, someone asked whether a feature could be added to indicate muscularity/size (from 1 to 10). But I have my doubts that something like this could be solved so easily with FMME values. (Especially since in most cases only ranges of FMME values can be specified.)
What do you think of this FMME idea? Would you estimate the FMME value range differently for some girls with muscles? Do you have any ideas on how to visualize the values/value ranges? Is there anyone who can estimate body fat percentages well? (It would be very helpful for athletes in general and for Japanese athletes in particular.)