CP/W' testing complete both in the Lab and on the Road.

Mock 45 minute TT for individualise some parameters for the W'bal model.

BBS Suggest pacing with a 5% increase in mean power.

Now to tweak 2nd 1/2 after the climb, can see depletion of that below.

Execute on race day then write up paper

A morning relatively well spent. Modelling different variations on the influence of durations on recovery based on some data we have. Tau left, duration impact of the work out on the bottom Baseline tau is 127s. Integrating into our model. Specifically for ITT, next step is weighted time factor.

What else to do on a Sunday morning. TT W'bal app v0.02

The W’bal profile gives a nice indicator of work above CP. here are both. Also have the wind data as well etc.

A well paced TT here, 3 clear phases In the W’bal profile, final sector power was hovering around CP. Top 8.

Wind direction was a large factor in pacing as well.

Piloting a few different protocols [More bits to come]. Some interesting observations so far.

First part works well - second part has one of the issues we have found. Developing a few tweaks to account for this. Can’t say that much on it just yet.

For CP and W' SE values via 3 points - with the 2P non linear calculation I will take that.

last two studies - we have been really strict to minimise these SE values. As these are the inputs for the W’bal model.

Will look to add a function for these SE values into the prediction I.e high and low

Another lovely example of a TT W'bal output. Two variations which demonstrate a slightly different narrative.

Individualisation is key 🔑 but it’s a balance with prev testing and specific testing along with what has been done and race/training data.

Currently developing something new/tweaks ;)

I think this picture says it all. A fantastic weekend with two pb’s from two riders and a National champs jersey.

Privileged to be able to do something I love, and how my PhD supports it.

Still a lot of work to be done, but this is the start of it. We’ll have a few new inputs/variations into it from the findings of the PhD so far.

Likely turn a few parts into slider vs typing so UI is faster.

And to expand this for full sessions and a few cool things.

Setmana Valenciana- W'bal Insights. Asides from the fact my PhD is based around this. I find it often paints a nice narrative of what happened. Hard push on 2nd to last climb, pace was hot on the last then eased. Then saved themself for final Sprint, with a few up the road.

Tour of Oman Stage 5: W'BAL profile of two riders. Both finished well. Other a good few places ahead.

After W'bal is close to 0, it hovers low with slow recovery. They were unable to maintain the set pace, and continued around ± CP until the finish.

Chrono Étoile de bessege - TT W'bal insights

#3 different variations for 𝜏w', showing differences. This was a well paced effort. Climb to finish. Also need to consider technical ability with speed/corners.

Consider which 𝜏w' you use - Paper on this hopefully out soon.

W'bal insights: Research Data from our work rate and fatigue study. Here is a fresh and fatigued W'bal output. in the Fatigued state there is a reduction. Maybe W' does not go back to 100%, Maybe 𝜏w' slows. Likely a combo of all. Fast component seems to be impacted the most.

Some days I enjoy more than others. Today is not one I’m enjoying 😂. Time to get thinking

Playing around here, so [n=1] 40s on 20s off and then TTE (around 4-5 minute power), then 30 minutes recovery and we go again. Done at two different recovery powers. Dcp 68 ± 2and 35 ± 2 Appears a small drop in CP and 4-6% drop in W'. TAU individualised.

Finally decided to have a go at ‘code’ been on my list for ages. Still an absolute beginner. Was very happy being able to print(“Alex”) 😂. Had some help as well but this is a good start. *excel graph but it managed to run the W’bal model for me. *yes no labels etc.

This is one of life’s PhD pleasures. A fresh strap!