Math Nerds - KO question

[Ajax_Bay]

Have a play with this from @Gilliga

@Gilliga

Here is my google sheet you could download this to excel and input data from the race you are after. This is based on Cairns 2017 as I was just interested to see how it looked. Ironman Cairns 2017_ New Qualification.xlsx - Google Sheets

Since you don’t share how senior and wise you are, I merely observe from those data that a W45-49 needed to finish in 10:37 (for a KQ in 2026) in a race where the top 5 overall finished between 9:02-9:09 (v swift scan). You can look to see what Maryland is typically (average) won in. A maths (opposed to engineer) ‘nerd’ if enthused, will give a far better answer.

My stab seems to line up with @Tribike53 rough times (for a race where the M30-34 won in 9:00.

@Tribike53

Another way to look at the Kona Standard is to calculate a normalized time for each AG from the standard.

Example: Lets say the M30-34 AG winner finished in 9:00:00 hrs. To race an equivalent time the AGs would need to finish in:

Column 1	Column 2	Column 3	Column 4
Gender	AG	Factor	Time
M	18-24	0.9698	9:16:49
M	25-29	0.9921	9:04:18
M	30-34	1	9:00:00
M	35-39	0.9895	9:05:44
M	40-44	0.9683	9:17:41
M	45-49	0.9401	9:34:24
M	50-54	0.9002	9:59:52
M	55-59	0.8667	10:23:03
M	60-64	0.8262	10:53:36
M	65-69	0.7552	11:55:03
M	70-74	0.6876	13:05:20
M	75-79	0.6768	13:17:52
M	80-84	0.5555	16:12:06
M	85-89	0.5416	16:37:03
F	18-24	0.8567	10:30:20
F	25-29	0.8961	10:02:37
F	30-34	0.8977	10:01:32
F	35-39	0.8866	10:09:04
F	40-44	0.8707	10:20:11
F	45-49	0.8501	10:35:13
F	50-54	0.8125	11:04:37
F	55-59	0.7778	11:34:16
F	60-64	0.7218	12:28:08
F	65-69	0.6828	13:10:52
F	70-74	0.6439	13:58:38
F	75-79	0.5521	16:18:05
F	80-84	TBD*	TBD
F	85-89	TBD*	TBD