🔒
Academy requires Premium
Unlock advanced analytics, coaching tools, and more with Gradescale.
- Science-backed training metrics
- Personalized performance insights
- Cancel any time
Reading the Workout Power Trace
Mathematical and visual reference for the workout power-trace chart, the second-by-second power vs time line plot for a single session, typically displayed with optional heart-rate overlay, smoothing toggle, CP/FTP horizontal reference line, detected-interval band shading, and zone background bands. Documents the smoothing-window mathematics, the interval-detection algorithm, the relationship between the visual trace and the integrated session-level metrics (Weighted Power, Load Score, Relative Intensity), and the diagnostic patterns that distinguish a well-executed session from a degraded one.
Mathematical and visual reference for the workout power-trace chart, the second-by-second power vs time line plot for a single session, typically displayed with optional heart-rate overlay, smoothing toggle, CP/FTP horizontal reference line, detected-interval band shading, and zone background bands. Documents the smoothing-window mathematics, the interval-detection algorithm, the relationship between the visual trace and the integrated session-level metrics (Weighted Power, Load Score, Relative Intensity), and the diagnostic patterns that distinguish a well-executed session from a degraded one.
References
- Jones AM, Vanhatalo A (2017). The 'Critical Power' concept: applications to sports performance with a focus on intermittent high-intensity exercise. Sports Med 47 Suppl 1:65-78. doi: 10.1007/s40279-017-0688-0 · PMID 28332113
- Poole DC, Burnley M, Vanhatalo A, Rossiter HB, Jones AM (2016). Critical Power: an important fatigue threshold in exercise physiology. Med Sci Sports Exerc 48:2320-2334. doi: 10.1249/MSS.0000000000000939 · PMID 27031742
- Skiba PF, Chidnok W, Vanhatalo A, Jones AM (2012). Modeling the expenditure and reconstitution of work capacity above critical power. Med Sci Sports Exerc 44:1526-1532. doi: 10.1249/MSS.0b013e3182517a80 · PMID 22382171
- Bourdon PC, Cardinale M, Murray A, et al. (2017). Monitoring athlete training loads: consensus statement. Int J Sports Physiol Perform 12 Suppl 2:S2161-S2170. doi: 10.1123/IJSPP.2017-0208 · PMID 28463642
- Leo P, Spragg J, Lawley JS, Mujika I (2022). Power profiling and the power-duration relationship in cycling: a narrative review. Eur J Appl Physiol 122:301-316. doi: 10.1007/s00421-021-04833-y · PMID 34708276