Sunday, January 22, 2017

Racing and getting older....

As we get older we slow down.

I was pretty pleased with my 4:20 in Phoenix but wanted to know how my previous race times would hold up if I scaled them to my current age. One needs to have realistic expectations when training and I thought this data would help. As you may know I'm a data maven. I have all my garmin data on my own machine and have software (python) to crunch it eleven ways to Sunday 8)

Below, find a list of all my races of consequence: my10k PR race, 3 half marathons and mostly my 30 full marathons...in chronological order. At the bottom is my latest marathon. In red are the only other full marathons that are faster on Age Graded time than my latest race...

There are only 3 out of the 29 previous that were faster that this race on age graded time.
With non-AG time there are 8 races that are faster.

That makes me feel pretty good about my 4:20! Without crunching these data I'd be still feeling like a slacker ;) I kind of suspected my PR of 3:54 would be about 4:0x, but knowing it's a 4:06 is important to me.

Recently a 4:30 (10:15 pace) seemed pretty easy to knock out..now I know that corresponds (roughly) to my 'easy' 4:15 marathon pace back in '09. 

I find it extremely ANNOYING that Garmin and Strava have no features to support this kind of analysis. 

Strava lets you look at age graded results for segment rankings, but they mix women with men (REALLY suck for women) and they have 10 year age groups (!). When you are over 50 10 year groups does NOT cut it. The slowdown is steeper and it's just not fair to compare a 68 year old against a 61 year old.

The ageism we all have to deal with someday (if we are lucky) !



Race              Date      Miles       Time    AGTime    Pace    AGPace BPM
sfh__08 2008-08-03 13.25 2:04:42 2:14:37 9:24 10:09 137.6
napa_09 2009-03-01 26.39 4:25:40 4:46:47 10:03 10:52 132.6
sch__09 2009-04-19 13.09 1:51:09 1:59:59 8:29 9:09 146.3
sfm__09 2009-07-26 26.80 4:15:28 4:33:15 9:31 10:11 137.7
svm__09 2009-10-25 26.51 4:15:28 4:33:15 9:38 10:18 138.0
sfm__10 2010-07-25 26.74 4:06:19 4:20:59 9:12 9:45 0.0
lbm__10 2010-10-17 26.46 4:25:09 4:40:57 10:01 10:37 138.6
surf_11 2011-02-06 26.37 4:22:04 4:37:41 9:56 10:31 132.9
lam__11 2011-03-20 26.50 4:12:29 4:27:32 9:31 10:05 133.2
cph__11 2011-05-22 26.77 4:10:42 4:23:09 9:21 9:49 139.9
cim__11 2011-12-04 26.38 3:56:35 4:08:20 8:58 9:24 135.9
eug__12 2012-04-29 26.36 3:54:59 4:06:39 8:54 9:21 140.9
berl_12 2012-09-30 26.70 4:27:23 4:38:01 10:00 10:24 137.8
sch__13 2013-04-07 13.08 1:48:34 1:52:53 8:18 8:37 144.4
tcm__13 2013-05-05 26.37 4:39:12 4:47:32 10:35 10:54 130.8
sfm__13 2013-06-16 26.81 5:09:47 5:19:02 11:33 11:53 126.2
trc__13 2013-06-17 26.52 5:10:48 5:20:04 11:43 12:04 126.6
pa10k13 2013-09-21 6.36 49:19 50:48 7:45 7:59 149.4
surf_14 2014-02-02 26.29 4:06:04 4:13:25 9:21 9:38 137.5
chic_14 2014-10-12 26.90 4:48:39 4:54:25 10:43 10:56 126.9
indi_14 2014-11-01 26.17 4:51:19 4:57:07 11:07 11:21 128.9
cim__14 2014-12-07 26.15 4:46:59 4:52:42 10:58 11:11 0.0
barc_15 2015-03-15 26.57 4:46:54 4:52:37 10:47 11:00 0.0
qarr_15 2015-12-20 26.15 4:41:35 4:44:22 10:46 10:52 129.2
clev_16 2016-05-15 26.32 4:30:00 4:30:00 10:15 10:15 126.7
sfm__16 2016-07-31 26.57 4:33:00 4:33:00 10:16 10:16 128.7
mcm__16 2016-10-30 26.74 4:42:04 4:42:04 10:33 10:33 121.5
ariz_16 2017-01-15 26.15 4:20:23 4:20:23 9:57 9:57 131.9

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