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Hawaii Qualification Analysis

Elite Reference Time
Event Name20082009201020112012
Austria8h 178h 168h 128h 04
Arizona8h 368h 198h 208h 14
Texas8h 15
South Africa8h 288h 378h 328h 15
Western Australia8h 118h 148h 228h 19
Germany8h 058h 038h 138h 20
Brazil8h 438h 348h 188h 21
Florida8h 268h 198h 298h 21
Cozumel8h 24
Switzerland8h 358h 338h 308h 30
St. George8h 538h 37
Regensburg8h 38
France8h 458h 438h 588h 40
Australia8h 418h 308h 318h 41
Canada8h 358h 418h 368h 41
New Zealand8h 348h 278h 378h 43
Coeur D'alene8h 478h 488h 398h 44
United Kingdom8h 578h 538h 44
Louisville8h 578h 368h 46
Lake Placid8h 558h 548h 548h 47
Wisconsin9h 038h 568h 518h 49
Lanzarote9h 078h 588h 468h 50

Click on an Age Group to show the qualifying coefficients for that age group

Qualifying Coefficients by Age Group
M18 M25 M30 M35 M40 M45 M50 M55 M60 M65 M70 M75 M80
F18 F25 F30 F35 F40 F45 F50 F55 F60 F65 F70 F75 F80

Is race selection is a critical element for the majority of athletes who want to get to Kona? Well, consider this. A 44 year old male ran a sub 9hr IM......... and failed to qualify for Kona 2007*. In a different race another athlete ran a 10h46 IM in the same age group and qualified. So race selection is not just about the times. Other factors like the number of slots available, strength of field, calendar placement and the course profile are also important. But these factors differ, not only from event to event, but also from year to year in the same event. So how can you effectively determine where your best chance for qualification lie? This page attempts to give you the necessary information to make a more effective race selection decision.

The methodology we use is fairly simple. Firstly we determine a baseline performance for each race which we will call the Elite Reference Time (ERT). The ERT is calculated by taking the average time of the first five (5) PRO finishers in the race. Then we look at the time of the last qualifier in an age group. By comparing the time of the last qualifier to the ERT we determine a Qualification Coefficient (QC). For example, our 10h46 IM athlete was 22.3% slower than the ERT and took the last slot in his age group. So the QC for that Age Group in that Race was 22.3. Obviously the higher the QC is, the easier it is to qualify

The tables opposite show the ERTs and the QCs by event by year for each Age Group. All you need to do is select your age group and see if you can get to a race with the highest possible QC. Good Luck

Please note that the races are organised by qualifying season. So the Wisconsin, Florida and Western Australia IMs that were held in 2008 are listed under the season 2009

* The athlete who ran the sub 9 did end up going to Kona in 2007, but he had to run another race to qualify.

Can you figure out the names of the two athletes used in the examples.

  1. Who ran a sub 9h IM and did not qualify?
  2. Who ran a 10h26 IM with a QC if 22.3 in the M40 AG in 2007 and qualified?
Answers to admin1@triraceboook.com

Before you ask

The following information in being worked on

  1. Data for all AGs Male and Female
  2. A QC based on the number of slots with no roll down. i.e. if there are 3 slots then the time of the 3rd place person in the category instead of the last qualifier.
  3. Data and commentary on the roll down factors (slot acceptance rates)
  4. Data and commentary on the evolution of the required qualifying performances. Is it getting harder to get to Kona?