Category Enforcement - How is my category calculated? [February 2022]

For those of you race organizers wondering when you’d get to test out cat enforcement on your own events, check out this thread.

Of course you have no personal interest in this… :crazy_face:

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You are funny @Mark_Crane_TOG_G_65y. This will probably only impact those under about 60kg.

Gerrie your post is a great video. I have not even got to the start of the race yet and this guy completely sums up what everyone on this forum is so dead against.
No bed for me tonight I really must watch the full video. I really like stand up comedy but this is as good as sit down comedy gets :joy:

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Few minutes before he starts is pretty painful to listen too.

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Happy to make your day. :thinking::wink: Some are just very open about how they race.

Watched all of it and sort of regret my earlier comedy comments. He is probably just saying what so many people must be thinking.

He knows the line must be drawn somewhere and nobody wants to be on the wrong side of the line. Moving the line every now and then is an option he would certainly live with - would others also be happy.

He doesn’t want boring pack racing, variety is the spice of life.

Quite liked his comments asking why all races can’t just start 2 miles from the finish line, but then isn’t that what all sprinters would like ?

Anyway we are all different. Maybe Zwift and Race Organisers just need to be allowed to offer as much variety of category boundary criteria, course variety and race lengths as possible, whilst ensuring riders are not permitted to enter an event below their potential or best ability and let us decide which ones we wish to enter or not.

I’m sure things are moving in the right direction and for my small monthly Zwift subscription I’m more than happy.

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Has the change to the way lightweights are treated been made already? I urge you to make sure this is tested in a limited way prior to a widespread roll-out.

While I was critical of the earlier way in which lightweights were (apparently) bumped up regardless of low watts, if their MAP was high in W/kg terms, this modified approach seems to keep then down regardless of MAP, if their CP is low in absolute watts.

This gives them a free rein on all the short hills and they will absolutely crush their races. The whole point of the MAP calculation is surely that (as we all know) short-term power is often important in zwift races. I haven’t yet seen any argument presented that the short-term power of lightweights isn’t important, so don’t understand why you do not want take it into account.

I’ve already explained several times how MAP and CP can both be assessed in a consistent way, putting a W/kg and W threshold on both.

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If you read the OP, you’ll see that this is, indeed, being tested in a limited way before full rollout. There is even a down-week to assess the feedback and findings scheduled March 14th-20th.

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I would expect you to be in B based on that 20 minute power (if it happened in last 2 months)

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Sorry - trying to do too many things at once. Trying signing up for this and see what it lets you do. I suspect it’ll be C and above.

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Yes, you can try intervals.icu or xert, they have a function to show you how you are compared to the user base. But not with Cp, but they give you this information for other powers like e ftp.
You can chose to match yourself against everybody or your age or coggans datas.

And xert : spider graph (matched against males of my age)

so much moaning about having to work a little bit harder in a race

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But is that only comparing to other registrants(?) or users of those platforms, or do they somehow have all 1/2 million Zwift users data logged in? I was more thinking along the lines of how would an organizer establish that there are X number of zwifters that currently exhibit an equivalent 1.4 wkg vs. 1.5wkg vs 2.7wkg etc etc. Ie. trying to gauge if there is a large enough user base to likely populate a race event for a given Pen definition and likely get more than 10, 20, 40 entrants?

This is only against the other users of the platforms except for coggan’s datas which are from his study. And as far as I know, his datas are not so good… it might be even less useful than the big user bases of intervals and xert.