User Guide


"A key issue of debate is the intensity of training and how the day-to-day training intensity should be distributed." (Esteve et al., 2007)
In this second section, you can access comprehensive information about all the training sessions the athlete has performed.

Session types distribution

In this section, you can explore the distribution of training sessions performed by type, represented by a pie chart. The pie chart visually displays the proportion of sessions falling into each category, such as Race, Aerobic, Tempo, Sprint, and more.
To the right of the pie chart, you'll find a table presenting detailed statistics for each session type:
  1. 1.
    Number of Sessions: The total count of sessions recorded for each session type.
  2. 2.
    Total Duration: The cumulative duration of all sessions within each session type.
  3. 3.
    Average Duration: The average duration of sessions within each session type, calculated by dividing the total duration by the number of sessions.
  4. 4.
    Average RPE: The average Rating of Perceived Exertion (RPE) for sessions within each session type. RPE is a subjective measure of how hard the athlete perceived the training session.

Intensity distribution by type

In this section, you can explore the intensity distribution for each intensity (cf here), providing valuable insights into the athlete's performance during different types of efforts.
The chart presents box plots for each intensity, and by hovering your mouse over any of the box plots, you can access essential statistics such as:
  1. 1.
    Maximum Value: The highest intensity level achieved during the lap type.
  2. 2.
    Minimum Value: The lowest intensity level recorded during the lap type.
  3. 3.
    Average: The average intensity level for the lap type.
  4. 4.
    Median: The median intensity level, representing the middle value in the data distribution.
  5. 5.
    Quartiles: The different quartiles, which divide the data into four equal parts, indicating the spread and central tendency of the intensity distribution.
This chart serves as a powerful tool for monitoring the intensity of sessions and verifying if they align with the planned training objectives. You can quickly identify any laps with excessive or inadequate power levels, helping you detect poor-quality workouts. By comparing the actual intensity distribution to the intended training targets, you can make necessary adjustments to optimize future training sessions.
If you wish, you can uncheck the lap types to select only what you want to analyze.
Intensity distribution

Laps intensity by duration

The Laps Intensity by Duration scatter plot is a powerful visual tool that provides valuable insights into the athlete's performance during different intervals. The plot positions each lap based on its average power and duration and is complemented by the record power profile curve.
In this scatter plot:
  1. 1.
    Duration: The x-axis displays the duration of each lap, indicating the length of the training session.
  2. 2.
    Average Power: The y-axis represents the average power for each lap, showing the intensity level of the session.
  3. 3.
    Record Power Profile Curve: The record power profile curve provides a reference line, allowing you to compare each lap's performance to the athlete's historical best power performances across various durations.
  4. 4.
    Color-Coding: Each lap is color-coded based on its intensity. The color-coding aids in quickly identifying patterns and trends for specific lap types.
The scatter plot allows you to perform assessments at specific times, gaining insights into the athlete's performance variability and progress over time. It provides a clear view of how intensity and duration vary across different laps, helping you tailor training sessions more effectively.
At the end of the season, the scatter plot becomes especially valuable for analyzing and understanding potential mistakes made by the athlete. Any unsatisfactory adaptations or suboptimal performances can be pinpointed and investigated in relation to their intensity and duration. This analysis helps coaches identify training patterns that may have hindered performance outcomes, guiding adjustments and improvements for future training cycles.
Laps intensity by duration

Laps intensity by session

In this representation, the laps' intensities are depicted based on the session in which they were performed, and the size of each dot corresponds to the lap's duration. The sessions shown in the graph share the same session type, indicating a high degree of similarity among them.
This visualization highlights both the intensity of the laps and the recovery periods between them. While the intensity of the work is crucial for performance improvement, the recovery between laps is equally important for overall training effectiveness and preventing overtraining.
You can thus investigate and easily interpret how the athlete evolves in response to different types of intensity during the sessions. By analyzing the graph, you can gain valuable insights into the athlete's training adaptations, fatigue levels, and recovery patterns.
This understanding is essential in prescribing and optimizing the athlete's training plan. performed, displaying the dot with a size proportional to the lap duration. The various sessions shown are all part of the same cluster, i.e. they have a very high similarity.

Cadence versus Power

Comparing power and cadence in training can yield valuable insights.
Here are some key observations that can be made by analyzing power and cadence data:
  1. 1.
    Optimal Cadence Identification: By analyzing the correlation between power output and cadence, you can identify cadences that lead to the most efficient power production.
  2. 2.
    Fatigue Detection: Monitoring power and cadence during training sessions can help detect signs of fatigue. For instance, a gradual drop in power output as the effort continues may indicate increasing fatigue. Similarly, a consistently high cadence throughout the session might suggest overreliance on high cadences, potentially leading to muscle fatigue and suboptimal performance.
  3. 3.
    Actin-Myosin Activation: Monitoring power and cadence together can provide insights into the athlete's neuromuscular activation. A cadence that is too high for a given power output may indicate excessive actin-myosin bridge activation, which can lead to inefficiencies and increased energy expenditure.
By better understanding the interplay between power and cadence, athletes can optimize their pedaling technique, manage fatigue more effectively, and enhance their overall training and performance outcomes.
"Power is important, but cadence is what really counts. If you can maintain a good cadence, you will be able to ride faster and longer." (Fausto Coppi)