I need some input from freestyle lap or competitive swimmers
Former Member
ok so first can you tell me ur best 100 free time in yards or meters short course.
secondly, what time do you hold on about 10x100 frees at cruising pace (a little faster than warm up pace but not much), on an interval of around 2:00 (plenty of rest). on the 100s u should be feeling good, no pain.
for example, my best 100 free time in short course yards is 59 seconds, and i hold 1:34's on 100 frees on 2:00 in a 25 meter pool.
thanks again
Parents
Former Member
anybody going a 1:35 should be able to swim a 100 in a minute, not 57 seconds
Thanks for correcting my math. Is there anyone out there who cruises at 1:35 on 2 minutes? If so, how fast is your 100 all out?
I'm genuinely curious. I'm not that fast.
Today I swam 16 x 100 on 1:42 with 10 second rest intervals - made it with no problem, no pain. My heart rate at the end was probably 110 or so. Surely I could go faster with an extra eight seconds rest, but let's forget about that for a moment.
Now the formula we're working with doesn't really handle that speed (it projects a 59, I think), but I think the concept is that I should be able to swim 100 yards in close to a minute. My best is 1:20 (off a push, not a dive.)
I fit a simple regression to the times given in this thread, and it looks like if you take the cruise time, multiply it by 2/3, then add six, you get a reasonable fit.
(Begin nerd talk.) I think a linear fit is much more reasonable than a parabola, which assumes that people will get faster as their cruise time gets slower - once they post slower passed 1:35. That's an important consideration when you are trying to model lap swimmers; most of the lap swimmers I see go about 2 minutes per hundred or more. A log-linear curve might work even better and makes sense intuitively as human speed tends to improve asymptotically. (End nerd talk.)
Using my dinky formula, I should be swimming 1:14 or so. That's sounds pretty close, especially if you figure I'd be 2-3 seconds faster off a dive.
It's a little tricky, because I think different people define cruise differently. You have one person cruising on 80 seconds who has swum 53 and another cruising 67 who has swum 54.
All in all, I think it's an interesting exercise. I'm curious what you'll find when you add more data points.
anybody going a 1:35 should be able to swim a 100 in a minute, not 57 seconds
Thanks for correcting my math. Is there anyone out there who cruises at 1:35 on 2 minutes? If so, how fast is your 100 all out?
I'm genuinely curious. I'm not that fast.
Today I swam 16 x 100 on 1:42 with 10 second rest intervals - made it with no problem, no pain. My heart rate at the end was probably 110 or so. Surely I could go faster with an extra eight seconds rest, but let's forget about that for a moment.
Now the formula we're working with doesn't really handle that speed (it projects a 59, I think), but I think the concept is that I should be able to swim 100 yards in close to a minute. My best is 1:20 (off a push, not a dive.)
I fit a simple regression to the times given in this thread, and it looks like if you take the cruise time, multiply it by 2/3, then add six, you get a reasonable fit.
(Begin nerd talk.) I think a linear fit is much more reasonable than a parabola, which assumes that people will get faster as their cruise time gets slower - once they post slower passed 1:35. That's an important consideration when you are trying to model lap swimmers; most of the lap swimmers I see go about 2 minutes per hundred or more. A log-linear curve might work even better and makes sense intuitively as human speed tends to improve asymptotically. (End nerd talk.)
Using my dinky formula, I should be swimming 1:14 or so. That's sounds pretty close, especially if you figure I'd be 2-3 seconds faster off a dive.
It's a little tricky, because I think different people define cruise differently. You have one person cruising on 80 seconds who has swum 53 and another cruising 67 who has swum 54.
All in all, I think it's an interesting exercise. I'm curious what you'll find when you add more data points.