I know there are a lot of calculators on the net that can be used to
calculate the predicted time for a given distance. I need all the
information in a chart format to be able to present how the concept works at
a marathon training seminar.
Alternatively, can someone recommend the best calculator option that can be
run standalone (that is, while not connected to the net) that is not a
browser/java based program.
Thanks,
Mario
Here's a little piece of the Gardner/Purdy tables. If you can get the
book, it also rates interval workouts by point level, which is useful...you
can even use your interval workouts to predict race performance.
This was remarkably accurate for me and my friends. I was at the 730 point
level, and my times were within a few seconds of the predictions.
http://www.runnersweb.com/running/purdytbl.html
--Dan
"Mario" <nos...@myhome.com> wrote in message
news:qd%hc.35267$CO3.1...@news20.bellglobal.com...
Purdy figured this out as part of his Ph. D. thesis, and wrote a great
little book with Gardner. The table I link to in my earlier reply shows
some of these relationships.
--Dan
"Bethowmuch" <betho...@aol.com> wrote in message
news:20040423001237...@mb-m17.aol.com...
I don't understand what your aversion to java is. I have a program that
computes Daniels vdot scores in java and python. The formula for vdot is
VO2 (distance*1000.0 / t ) / percent_max(t)
where
VO2(v) = J1 + J2 * v + J3 * v*v and
percent_max(t)=K1 + K2 * exp(K3 * t) + K4 * exp(K5 * t)
K1 = 0.8 K2 = 0.1894393 K3 = -0.012778 K4 = 0.2989558 K5 = -0.1932605
J1 = -4.60 J2 = 0.182258 J3 = 0.000104
To use this as a predictor, you need to either build a table or invert the
formula. My online version is http://www.panix.com/~elflord/predict.html
I'd also suggest the WAVA tables. You can download them as a
spreadsheet here:
http://www.personal.rdg.ac.uk/~snsgrubb/athletics/wavalookup.html
Cheers,
--
Donovan Rebbechi
http://pegasus.rutgers.edu/~elflord/
Try this:
> Try this:
>
> http://www.cararuns.org/pace_calculators/pacechart.html
If you try that, prepare to be disappointed if you don't make your
"predicted time".
5k 30:00 ... 30k 3:00:00
Paul
Good, because you're not being a "smart" anything.
> but this sounds like about fifth grade math. Your
Or fifth grade reading comprehension.
> common distances are 5K 10K half-marathon and marathon. You said assuming the
> same pace for all events.
No, he said "given they were exactly as good at those other distances as the
10K."
Cheers,
That's not a prediction chart (despite the label), it's a pace chart. The rows
correspond to different paces, not different levels of performance.
Good, because you're not being a "smart" anything.
> but this sounds like about fifth grade math
Or fifth grade reading comprehension.
> common distances are 5K 10K half-marathon and marathon. You said assuming
the same pace for all events.
No, he said "given they were exactly as good at those other distances as the
10K."
Cheers,
--
Donovan Rebbechi
Another dipshit ivy leaguer heard from. Some academics can turn taking a shit
into rocket science.
Look, there is more to predicting your marathon performance than multiplying
your 1 mile time by 26.2. If you don't understand this, you are a moron.
: You said assuming the
: same pace for all events.
No, dip. :-) He said assuming you were equally good at each race.
That does NOT mean the same page. Common wisdom is that when you
double your distance, you pace falls off by 10%. So, for example,
given your 5K time, your 10K time is 2.2 times the 5K time, not
twice, as your erroneous calculations assume.
But that what you get for being a smart ass!
Larry
Thanks Dan,
That is exactly the type of chart I was looking for. Now to be really picky,
does anyone know where I can find that type of chart with more common race
distances like the 15K and half marathon?
Also, thanks to all the rest for their answers.
In case anyone in the audience will be in the neighborhood, the marathon
training seminar will presented on April 28 in Sault Ste. Marie, Ontario at
the local YMCA starting at 7 PM.
Thanks,
Mario
At risk of repeating myself, the WAVA tables do include these distances.
The Daniels charts are based on curves, so you can use them for any distance
but I wouldn't recommend using the Daniels tables to predict marathon times, as
Daniels' numbers don't work very well beyond a 2hr duration.
Donovan,
I checked the WAVA tables and they were for age and gender handicapping, not
race prediction.
I will check again. I may have scanned too quickly.
Thanks,
Mario
Larry
Donovan Rebbechi <ab...@aol.com> writes:
If you can get ahold of one of Purdy's books (it was reviewed back in '97)
that would have the whole shebang, including interval workouts and all
standard metric and running distances.
Do a search for Gardner Purdy running tables and you'll find it out there.
--Dan
PS: Out here in California, I've never heard of a 15k! It's
5k/10k/half/whole/50k/50mile/100mile and various odd distances.
"Mario" <nos...@myhome.com> wrote in message
news:3%jic.42787$CO3.1...@news20.bellglobal.com...
You can use them for race prediction as well.
I have a WAVA based predictory online here:
http://www.panix.com/~elflord/wava.html
It's simple enough that I can explain how the predictor works, so here goes:
It works as follows: for each distance, there's a "gold standard" time, T. For
each distance, there's an age correction factor C. So if your time is t, your
rating is
r = T/t * C
one can invert this formula -- if your desired rating is r, then your required
time is
t = T*C/r
You can predict a time, by computing the rating for one performance and using
the inversion formula above to get the time at that rating for the other
distance. So you time predicted from a performance t1, at a distance with
"gold standard" time T1 correction factor C1, when the race is to be run over
distance with gold standard T2, correction factor C2 is:
t2 = T2*C2/r1 = T2*C2/(T1/t1 * C1)
Using the WAVA formulas requires junior high level math ability at most, which
is well within the capabilities of most of the posters here (if not yourself)
Where did he say that?
Don't worry moron. You're not a smart ass. Not as smart as I.
tkb
You'll lose.
You might try this one.
http://www.cs.uml.edu/~phoffman/ex1.html
Paul