Why You Should Drop FTP and Train with 4DP
In a sport where athletes obsess over precise tolerances for power meters and smart trainers, it hardly makes sense doing workouts which aren't accurate. But when we compared the results of more than 30,000* 4DP power profiles to how FTP-based apps set workout targets, our Sports Science Team found that FTP-based workouts can set targets which are accurate for only 6% of athletes - a problem which training with 4DP avoids.
4DP Sets Targets Based On YOUR Ability
The Sufferfest bases workouts on your full power profile. Using our 4DP methodology, your FTP efforts are based on your FTP, Maximal Aerobic intervals are based on your MAP, Anaerobic efforts on your actual AC and sprints are based on your Neuromuscular Power. Every target is automatically and accurately calibrated to your specific and unique abilities so you get the most accurate training stimulus possible.
FTP-based Apps GUESS What You Can do
Nearly all cycling training apps base workouts only on FTP. So if you want to do an interval above FTP, they set your target based on the average person's ability. They are, essentially, guessing what you can do so they don't actually have to figure it out themselves.
Why Your FTP-Based Targets Don't Feel Right
But just how good is that guess? As mentioned, we took 30,000* 4DP power profiles and analysed how much a rider’s actual MAP, AC and NM varied from the estimated values FTP-based apps typically use. In doing so, we saw whether the targets were too high, low or just right for the rider’s ability.** The results were astounding:
- FTP targets based on FTP are accurate for all 100% of athletes.
- MAP targets based on FTP are accurate for 56% of athletes.
- AC targets based on FTP are accurate for 18% of athletes.
- NM targets based on FTP are accurate for 6% of athletes.
Clearly, FTP is not an effective way to set efforts above threshold. Look at the data and examine the incredible ranges in MAP, AC and NM power that athletes can produce relative to FTP. We've put our 30,000 test results into an interactive graph for you to filter by age and gender.
- The x-axis (horizontal) shows power generated by people in our sample as a percent of FTP.
- The y-axis (vertical) shows the percent of the sample that achieved that result.
- The colored curves represent the spread of athlete ability, as a percentage of FTP, for five-minute (MAP - yellow), one-minute (AC - red) and five-second (NM - blue) efforts. You can see, for example, that some athletes can only manage NM efforts of 150% of FTP while others can hit 700% (Clearly showing the folly of having sprints set to 250% of FTP for everyone).
- You can also see three vertical lines, each representing where FTP-based apps typically set targets for MAP, AC and NM. This allows you to see where these assumptions sit within the full spread of what people in our sample can do.
What About People With The Same FTP As You?
Let's get personal. What’s the range in performance for people with your FTP? Let's take a look.
- Enter your FTP in the calculator below.
- We'll then show you the typical MAP, AC and NM targets a FTP-based app would set for you and everyone else with your FTP, regardless of what you can actually do.
- We'll also show you the range in values for MAP, AC, and NM for people with your FTP, based on our 4DP Full Frontal results.***
As you see, there are people with your FTP who can do far more, and those who can do far less, than an FTP-based app assumes. Where do you fall in that range? An FTP-based app can't tell you that - but The Sufferfest can. All you have to do is complete our 4DP fitness test. You'll get your 4DP profile, strengths and weaknesses as well as an idea of what kind of rider you are right now (which is the starting point to become the rider type you want to be).
Get Started With The Sufferfest and 4DP
Doing workouts based on FTP is old science. Those apps will tell you that everything is just fine as it is. But the world has moved on. You deserve the best fitness returns for the time you spend training. That means using the most advanced, accurate sports science available and using targets that precisely match what you can do.
Get started with your 14-day free trial and experience the benefits of training with 4DP.
* We analysed a sample of more than 30,000 tests from both male and female cyclists ranging in age from 18 to 82 years old. All files in the sample met specific criteria for inclusion, including the use of real power measurement (no virtual power), valid test results and other factors. Extreme outliers were removed from the sample.
** What is 'just right?' To give those workouts every benefit possible, our team assumed that a target set by a FTP-based workout was 'just right,' when the reference metric (i.e., FTP) multiplied by the generally accepted physiological norm (e.g., 120% for MAP) was +/- 5% of the athlete's actual capability. Power-profile based workouts like 4DP, of course, don't need such leeway since they can precisely target the athlete's actual ability. It’s also worth stating that we are talking about setting the actual target within a workout itself. A further part of the art and science of performance improvement is how close an athlete needs to come that target in order to get a training stimulus (e.g., the athlete does not need to hit exactly 100% of their AC in order to drive AC improvement). The acceptable range varies by the desired training stimulus, the energy system targeted, the intensity and duration of the effort as well as other factors. It goes without saying, however, that if the accuracy of the target itself is wrong, then any deviation from that incorrect target will take the rider even further from the desired training stimulus.
*** We use 5w 'buckets' for this analysis. So if you enter, say, 237w, we'll show you results for everyone with an FTP of 235-240w. We do this so competitors are not able to get a complete picture of how the power profiles break down in 1w increments. This does not significantly affect the relevance of the results for any particular individual. As well, while we have substantial data sets for most FTPs, extremely low or high numbers may have small populations. For this reason, the results shown may not capture the full range of human ability.