I’ll start with the quick review of my training since my last post:
3/18/13 – 3/24/13
-
Monday: 3.06 miles in 22:55. Easy recovery run around Spy Pond in Arlington.
- Tuesday: rest.
- Wednesday: rest.
- Thursday: rest.
- Friday: 7.52 miles in 59:00. I ran down the bike path and around Fresh Pond. My right Achilles and my left calf were still in agony for the entire run. After the run, I noticed that the sole of my Adios had completely worn off the outside of my strike area. I guessed that this meant that I was torqueing my ankle with each landing so I decided to retire the Adios and get some new trainers to keep going in.
- Saturday: 10.00 miles in 1:17:51. I ran to City Sports in Porter Square in my old NB880s (2.5 miles) and bought new Brooks Cadence (1st generation because they were on sale for $59 and change) and did the 5 mile run club route then ran home in the Cadence. They felt a little better than my end-of-life Adios but the damage had been done by racing New Bedford in dead shoes so my Achilles still wasn’t elated with the idea of running.
- Sunday: rest due to Achilles pain.
- Monday: 10.17 miles in 1:19:01. I ran this one on Mass Ave, the bike path and Fresh Pond. I still wasn’t feeling 100% but I could tell that my legs were healing up now that they were in new shoes.
- Tuesday: 10.17 miles in 1:18:07. This was the exact same route as Monday but a little bit stronger.
- Wednesday: 10.17 miles in 1:16:04…in keeping with the trend for the week.
- Thursday: rest. Sarah and I went out to the Painted Burro in Somerville; it was pretty good but nothing to write a post about.
- Friday: rest. I thought about doing the hill workout that had been scheduled for Thursday but was le tired so I took a nap.
- Saturday: 10.00 miles in 1:11:28. Started with an easy 2.5 miles to Porter Square where I hooked up with the City Sports Run Club for a Marathon Pace 5 miler (I ended up running the 5 in more like 6:40 than 6:30 but it was my first real MP run off the treadmill and first workout since New Bedford, so I’ll take it). After the 5 with the Run Club I ran easy for the last 2.5 home. It was super nice out so in the afternoon, Sarah and I walked from Arlington Center through Harvard Square, along the Charles and over to Copley Square with a stop for beers in Cambridge, coffee and shopping on Newbury Street and Sushi on Boylston Street. It was a really nice first day that felt like spring!
- Sunday: 16.44 miles in
2:08:15. I ranged all over on this one. I started heading north on route 3
until I ran out of sidewalk in Woburn and did a loop through the Wholefoods
parking lot before coming back south on route 3 until Wildwood Street which I
followed to Church Street in Winchester. Church took me to Main Street through
Winchester Center. I was completely lost and went north on Main Street until I
saw a sign for 38 South towards Somerville. I took 38 South past the Oak Grove
Cemetery to the Mystic Valley Parkway in Medford which I followed through
Somerville and a bit of Cambridge to get back to Mass Ave. I took Mass Ave back
to my apartment but only had about 1:46:00 on my watch when I got home so I
decided to add on the 3.06 mile loop around Spy Pond which added Belmont to my
list of cities that I passes through on this run.
I decided that there are three things that are important to any
runner’s training: volume, intensity and frequency. I defined volume
as the average distance per run (monthly mileage divided by the number of runs
during the month). I defied intensity
as the equivalent age graded percentage of the average run distance and time
(monthly mileage divided by number of runs during the month, monthly time
divided by number of runs during the month, age during the month all put into a
age graded calculator to get a decimal from 0.00-1.00). I defined frequency as
the percentage of days during the month that a run was completed (total number
of runs divided by total number of days; this is expressed as a decimal but can
exceed 1.00 if you are running doubles etc).
These three variables (volume,
intensity, and frequency) are combined by taking the geometric mean to get a raw
training score. The geometric mean is used because it allows you to calculate a
meaningful average for multiple factors on different scales. The raw score will
typically fall between 0.00 (for a runner who does not complete any run in a
given month) to 2.971 for a runner who runs a World Record marathon every day
during the month. As the quality of workout clearly does not scale linearly
between these two boundary conditions, I raise e to the power of the raw
training score to get what I’m calling (for lack of a good name) the ζ-value
(zeta). The ζ-value ranges from 1.00 for a runner who does not complete a run
to 19.5 for the runner who runs a world record marathon every day.
I went back and calculated my historical ζ-values since I started
logging my running in January of 2010 (I actually started in December 2009, but
January 2010 was my first month with the entire month logged).
zeta-value Control Chart...I need to clean this thing up... |
According to my ζ-value, this past March was my 4th best
month of training. While I don’t feel like it was my fourth best month, it does
help to explain how I ran a 2:31 PR at the Half Marathon on a swollen Achilles.
Looking at my moving average, I think I should be on track for some more PRs:
6 Month Moving Average of zeta-value since January 2010. |
So March wasn’t everything that I wanted it to be, but the math
suggests that if I keep working in April and get my ζ-value for the month over
5.0 then I should be in good shape for the marathon.
I should note that the failure of the ζ-value as a quantification of
training is that average distance is incorporated into the result twice: once
directly in volume and once indirectly in intensity. Also distance can very on
a much larger range than either frequency or intensity. Were a runner to run
one mile at World Record pace every day for a month, the equivalent zeta value
would be ~2.72. This suggests that my current training is better than the
theoretical mile world record every day. I’m still working on a model that will
better account for this, but for the time being I am okay with my ζ-value model
as it stands as far as marathon training goes. Due to the demands of the
marathon for high volume training, the type of training that I am doing right
now is probably more effective at preparing for a marathon than running a
single mile every day even at World Record pace.
I’m also thinking about how to merge total elevation gain into this
model so that there is some sensitivity to hill workouts. The drawback is that
almost all of my runs start and end at my front door so my net elevation change
while running over the course of the year is essentially zero and because of
this I do not track elevation in my log. Lacking data to manipulate, it is
difficult to develop a model that uses elevation as a parameter. Confounding
this, I would need to track total elevation gain and total elevation loss
separately as well as grade because clearly running up a short, steep hill is
different than running down a long gentle decline.
Aside from this weekly/monthly update I am due for a postmortem on my
Adidas Adios and an introduction of my Brooks Cadence. We’ll see when I
actually get a chance to write those up though.
Here's another picture of a graph that I'm inserting here so that I have a URL for it elsewhere. It is a natural log regression of my racing speed as a function of distance for my recent races.
Here's another picture of a graph that I'm inserting here so that I have a URL for it elsewhere. It is a natural log regression of my racing speed as a function of distance for my recent races.
Happy running!
11 weeks down and just 6 weeks
remaining until race day!!!
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