Training by watts: First steps in the world of watt values - here's how it works

What does the power meter data really mean? How do the bare wattage values turn into valuable training insights? The answer lies in a systematic approach to data collection and interpretation - the decisive cornerstone for successful watt-controlled training. Many beginners make the mistake of plunging straight into complex analyses without first building up a solid database. However, the initial phase in particular is crucial: this is where you lay the foundation for all subsequent training optimisations. In this article, we show you how to proceed methodically in order to maximise the benefits of initial performance data.

Systematically collect watt values

Download after every training session - this principle should become an irrevocable routine. No matter whether it's intensive interval training, a relaxed regeneration ride or a spontaneous ride with friends: Every ride provides valuable information about performance development. Many beginners underestimate the importance of seemingly "unimportant" training sessions and their wattage values. However, it is precisely the totality of all data that makes it possible to recognise patterns and evaluate the effects of training later on. The first few weeks should be deliberately approached without any pressure to analyse. The power meter automatically records all relevant parameters - from average performance and maximum peak values to detailed performance curves. This wealth of data may seem overwhelming at first, but it forms the basis for precise training control. A common mistake made by beginners is incomplete data transfer. Make sure that your power meter is correctly synchronised with the analysis software.

Categorise watt values

Functional Threshold Power (FTP) forms the centrepiece of the relevant watt values. The Functional Threshold Power (FTP) test developed by Hunter Allen and Andrew Coggan looks at the average power output during a 20-minute maximum load. 95 per cent of this power corresponds to the FTP, i.e. the maximum power that an athlete can produce over 60 minutes. It is also the indicator for the individual aerobic-anaerobic threshold (IANS). This threshold performance, which you can theoretically maintain for one hour, serves as a reference value for all training areas. Without a precise FTP determination, watt-controlled training is like navigating without a compass. Based on your personal FTP, you can define the seven classic training zones according to Coggan.

Training areas according to Coggan

Range 1 (Active Recovery) is 55-75 per cent of FTP, while range 7 (Neuromuscular Power) covers explosive peak performances well over 150 per cent of FTP. These ranges are not arbitrarily chosen, but reflect different physiological adaptations. Practical testing of these ranges is crucial. Deliberately ride training sessions in different intensity zones to develop a feel for the respective loads. A 20-minute pace in zone 4 (threshold) should feel significantly different to short intervals in zone 6 (VO2max). These subjective experiences will later help you to categorise the objective data correctly. Don't forget to check your FTP regularly. A new test should be carried out every six to eight weeks, as threshold performance changes continuously as a result of training.

Interpretation of the watt values

Average power is the easiest way to start analysing data, but it is by no means the most meaningful value. More important is the normalised power (NP), which takes intensity fluctuations into account. A ride with many sprints and recovery breaks can have the same average power as a steady tempo ride, but puts a completely different strain on the body. The intensity factor (IF) sets the normalised performance in relation to the FTP. An IF of 0.85 means that you have ridden 85 per cent of the threshold power. Values above 1.0 indicate that you have temporarily exceeded your hourly performance - a clear sign of intensive exertion. Power curves reveal more about training than any single average value. Steady curves indicate controlled tempo rides, while strongly fluctuating curves are typical of group rides or races. An important aspect of watt measurement is the comparison between subjective perception and objective data. Sometimes a ride feels easy even though the figures show high intensity - or vice versa. These discrepancies are valuable indicators of the current state of form and should be included in training planning.

Identify strengths and weaknesses

The power endurance curve is your personal fingerprint as a cyclist. It shows the maximum performance you can achieve over different periods of time - from explosive 5-second sprints to endurance performances lasting several hours. This curve reveals your natural strengths and uncovers potential for improvement. Sprinters typically show high values for short time intervals, while their curve drops sharply during longer efforts. Endurance specialists, on the other hand, can keep their performance relatively constant over long periods of time, but rarely achieve spectacular peak values. Fatigue profiles provide information about specific weak points.

Watt values as a basis for training planning

Data analysis is not an end in itself, but should result in specific training adjustments. If the analysis shows that the 5-minute performance is below average, VO2max intervals should be specifically integrated into the training plan. Weaknesses in threshold performance require increased work in zone 4 according to Coggan. Not every training session has to go exactly according to plan. If you feel tired on a planned threshold day and do not reach your wattage, this may be a sign that you need to recover. Overtraining can be recognised early in the data. If your performance drops continuously with the same or even increased effort, this is a warning sign. An unusually high increase in heart rate at the same wattage can also indicate overtraining. The balance between data-driven road bike training and intuitive riding feel is crucial. Wattage data is a powerful tool, but it is no substitute for the experience and body awareness of an experienced athlete.