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While I wouldn't be able to include racers outside of Finals where the data is contingent on their final time or rank, I've made a note to try and expand some of the other analyses out to see if I can include more racers. At the very least, I can publish simulated rank tables for the whole field. Maybe I...
Dylan Maples going bar to bar with Loic on DA HOLE SHOT!
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This is awesome. Super insightful!
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Let’s see how Asa’s sector times compare to the elite times prior to his crash.
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Ohhhh, please can you do Elite Women??
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Great analysis. I was amped on Tuhoto-Pene’s run. Looking forward to watching how he goes at Leogang. Times are looking so close it might come down to sizing down on ridewear.
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WynMasters Liked a reply to forum topic 2025 World Cup Downhill / EDR - Leogang, Austria

6/6/2025 11:40pm
Got some reactions following todays Q2 session here.
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I disagree. In a perfect world with a perfect sudy, yes we can get away with less data and use tactics like simulation. But, collecting real world data is messy and hard. In this situation, where we have a small number of data points of naturally lower quality, having the largest sample size possible is the most important consideration. I...

RoJo1 Liked a reply to forum topic High vs. Low Tire Pressures: Which Is Faster?

1/28/2025 2:08am
I've got a lot of support for this argument. I've done some of my own tyre testing: https://www.vitalmtb.com/forums/hub/front-dh-tyres-accurately-timed-kry… and the practicalities are hard. Plus you need some learning time, you can't just randomly change bike setup every run and expect to somehow get the most out of it, you need familiarisation time to predict what your tyres will do. The entire subject is difficult and I applaud anyone who attempts to dive into it.
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In my opinion, the cost of collecting less data (due to the practicalities of a randomised block design) is higher than the cost of not using the ideal randomisation design (again, there is some randomisation built into the testing procedure). Thanks for the discussion and feedback!
The whole experiment is published as an R package. The script to generate the visualisations can be found in inst/scripts/images.R. The data were randomised into batches of five runs before data collection, using random batch assignment. So the order of 5 high, 10 low, 10 high, 5 low is the result of a form of valid randomisation, and my preference...
This test was just a first attempt at collecting some data to see how feasible the whole testing process was. I agree that the transfer of the findings into other settings are limited (I tried to allude to this in the conclusion), and that we need much more data. I would love feedback on how you think the testing protocol...
The short section of track was chosen because it allowed me to guarantee that I could find the edge of traction and find the limit of grip on each run. Any longer and it would have been very hard to do this without mistakes and other factors such as fatigue coming into play. As a result, I don't think the...
The interesting insight for me was the variability between the two pressure setups. I agree, on a loose wet rocky track, I would like to think the answer is obvious, but I would be interested to see the variability with different pressures.
For sure I think there is a sweet spot. It would be great to do an extended testing protocol with a broader range of pressures at some point in the future. This was just a first test run to even see how feasible the whole process is. For the new radial casings, I have no idea, but I'm interested to...