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Age Grade This!!!
Based on an email communication with an athlete who
had questions about what age grading is.
Emailer:
I noticed that
you have added age graded results to your race results. I like
it.
Do your results calculate age grading for the age of each
athlete, or are they for 5 year age increments? For example,
Diane in last nights St. Greg's race - is her age graded
value calculated for a 57 year old woman? I am writing a short
article for the news letter, and want to be sure of my
facts.
Reply:
Both the age grade performance and age graded time
are based on the race distance, gender, and age, not the age group.
So the the
factors for 5k, female, 55-59 age group would look like the following:
|
AgeGradeTable |
|
DISTANCE |
GENDER |
AGE |
FACTOR |
SECONDS |
|
5kmRoad |
F |
55 |
.8202 |
1083 |
|
5kmRoad |
F |
56 |
.8093 |
1097 |
|
5kmRoad |
F |
57 |
.7984 |
1112 |
|
5kmRoad |
F |
58 |
.7875 |
1128 |
|
5kmRoad |
F |
59 |
.7766 |
1143 |
So the age grade
factor, multiplied by the achieved time, yields an “age graded”
time that could be compared to the
performance of females from
21-29 who have the factor of 1 for the 5k.
The seconds in the table is the world class standard for that age. For a
5k female 57 years old, that standard is
1112 seconds, or 18:32.
By running a 22:45, Diane had achieved 81.47% of world class
performance of 57 yr old females.
By the way, based
on all that, there were 25 national class performances (for
age/gender) at St Greg’s in 2009:
AG=Age Grade NC=National Class
|
Bib |
Name |
Age |
|
Time |
Pace |
AG
Time |
AG% |
Perf-level |
|
841 |
Richards |
Brian |
63 |
M |
0:18:44 |
0:06:03 |
0:14:40 |
87.90% |
NC |
|
979 |
lantinen |
gary |
53 |
M |
0:17:21 |
0:05:36 |
0:14:49 |
87.13% |
NC |
|
466 |
Botti |
Helen |
72 |
F |
0:27:13 |
0:08:47 |
0:17:17 |
85.67% |
NC |
|
838 |
Paget |
Ted |
58 |
M |
0:18:28 |
0:05:57 |
0:15:07 |
85.38% |
NC |
|
138 |
Gingello |
Tony |
62 |
M |
0:19:07 |
0:06:10 |
0:15:06 |
85.35% |
NC |
|
902 |
peterson |
david |
61 |
M |
0:19:08 |
0:06:10 |
0:15:15 |
84.58% |
NC |
|
1011 |
Burke |
Kevin |
36 |
M |
0:15:53 |
0:05:07 |
0:15:27 |
83.53% |
NC |
|
839 |
Pacque |
Raymond |
51 |
M |
0:18:02 |
0:05:49 |
0:15:39 |
82.44% |
NC |
|
746 |
walters |
chris |
22 |
M |
0:15:44 |
0:05:05 |
0:15:44 |
81.99% |
NC |
|
61 |
corgel |
carolyn |
51 |
F |
0:20:55 |
0:06:45 |
0:18:04 |
81.91% |
NC |
|
6 |
Bakula |
Thomas |
57 |
M |
0:19:08 |
0:06:10 |
0:15:48 |
81.71% |
NC |
|
812 |
mang |
jesse |
25 |
M |
0:15:49 |
0:05:06 |
0:15:49 |
81.56% |
NC |
|
842 |
sardes |
diane |
57 |
F |
0:22:45 |
0:07:20 |
0:18:10 |
81.47% |
NC |
|
909 |
gillis |
michael |
21 |
M |
0:15:57 |
0:05:09 |
0:15:53 |
81.19% |
NC |
|
8 |
Ballard |
Susan |
45 |
F |
0:19:40 |
0:06:21 |
0:18:13 |
81.19% |
NC |
|
531 |
McNally |
Conor |
17 |
M |
0:16:40 |
0:05:23 |
0:15:55 |
81.00% |
NC |
|
1125 |
campbell |
joe |
52 |
M |
0:18:30 |
0:05:58 |
0:15:55 |
80.99% |
NC |
|
1143 |
carr |
allison |
30 |
F |
0:18:17 |
0:05:54 |
0:18:17 |
80.95% |
NC |
|
624 |
keenan |
david |
28 |
M |
0:16:01 |
0:05:10 |
0:16:01 |
80.54% |
NC |
|
1004 |
mcgrath |
michael |
24 |
M |
0:16:01 |
0:05:10 |
0:16:01 |
80.54% |
NC |
|
946 |
George |
Guy |
50 |
M |
0:18:21 |
0:05:55 |
0:16:03 |
80.38% |
NC |
|
169 |
Harrison |
Michael |
61 |
M |
0:20:10 |
0:06:30 |
0:16:05 |
80.25% |
NC |
|
439 |
Watkins |
Jeffrey |
55 |
M |
0:19:10 |
0:06:11 |
0:16:05 |
80.17% |
NC |
|
1045 |
Heron |
Brad |
23 |
M |
0:16:06 |
0:05:12 |
0:16:06 |
80.12% |
NC |
|
830 |
Lockhart |
Scott |
46 |
M |
0:17:51 |
0:05:45 |
0:16:07 |
80.02% |
NC |
|
