r/Marathon_Training • • 1d ago

Melbourne Marathon Results Chat Full and Half

Hi all! New here,

I ran my first half marathon in Melbourne on Sunday and was curious to see how my result stacked up against the rest of the field.

I came across a post by u/TomasTTEngin from last year and decided to put together something similar for this year's event, with a few extra enhancements.

Thought I'd share it here in case others are interested in seeing how they went. Hopefully, you'll find it useful!

52 Upvotes

17 comments sorted by

7

u/IWearClothesEveryDay 1d ago

The one woman in the 75+ age group running under 5 hours is pretty amazing. That's a BQ by 13 minutes

1

u/MVPG2022 9h ago

Unless it was someone getting an extra ballot entry off their grandma

4

u/Funny-Profit-5677 1d ago

Male marathon paces are faster than the half. Interesting self selection bias

6

u/No_Ad_2261 23h ago

Marathon was run in 100% clouds if you ran under 3:30. Half for every entrant was entirely in the sun.

3

u/Beezneez86 1d ago

Really cool chart.

I was there on Sunday as well. I’m 40 years old and ran a PB of 2:48.

1

u/imsuperimposed 1d ago

Well done on the PB, it was hot, definitely needed a lot carbs to push though that one!

2

u/Green_banana_flour 1d ago

Thanks
It makes me depressed
I’m in the male 50-54 bracket and I finished in 4:41 putting me in the average finishing time for the 65-69

4

u/tabbyterrarium 1d ago

YOU RAN A MARATHON! Thats fkn awesome. 

2

u/imsuperimposed 1d ago

Mate, that is absolutely epic!! Not many people can say they’ve run a full marathon in their 50s, I only ran a half and what I learned, is my already high respect for full marathon runners went up 100x be proud. If I ever run a full I’ll be wearing that medal for years! 😀

2

u/lingeringneutrophil 1d ago

R can do nice graphs like this

1

u/datawazo 1d ago

Tableau?

1

u/Sallybrah 1d ago

This is neat, thank you. So how did you stack up?

1

u/imsuperimposed 1d ago

2:21. I’m still fairly new to running, having only started last November, and this was my first time tackling that distance. Pretty happy with the result for my first half marathon, especially in my 40s! I usually run around 5:25–5:45/km for distances of 10–15km, so there’s definitely plenty of room for improvement next time.

1

u/Sallybrah 22h ago edited 22h ago

Congrats and well done on your achievement! Keep it up! You’ve definitely got a sub-2 half in you.

I ran the Melbourne HM too and that 10am start can get in the bin, honestly. The warmth, full sun, and lack of water was a real drag. I ran <1:55, which was 10 minutes slower than my PB, so that didn’t feel fantastic. I still had a great time over the weekend though.

1

u/imsuperimposed 22h ago

Haha yes… it certainly wasn’t the weather I trained in. Honestly, nearly everyone I know missed their PBs so I think it was just a tougher race overall. I’ve never seen so many people getting medical attention in an event like this before.

1

u/suddencactus 1d ago

One fascinating thing to look at is how this compares to age grading.  Age grading is better than nothing but not unbiased.  Whether you're looking at who's winning a state high school championship or median times of 40 year olds here, age grading tends to produce higher numbers for men than for women. Like here the median time for the men's 25-29 group is 51.2% age grade, while the women's median time for the same age is 50.39%.  The median age grade of masters athletes is also higher than younger age groups.

Brian Rock, who's most known for his Boston Marathon cutoff predictions, has written a lot on these topics like whether we should be using the median time vs world record times and whether masters simply has selection bias for better athletes, in articles like this: https://medium.com/runners-life/follow-up-on-using-percentiles-to-compare-race-performances-across-age-groups-93b772816062

1

u/manlykiwi87 2h ago

Hey thanks for this, interesting and congrats on your run too! Wondering where you scraped the data from? I was hoping to do something similar but looking at the net change in position (ie how many people overtaken). Probably of no interest to anyone but myself but not sure where to find compiled data, or are you scraping every potential bib number etc?