Dr. Andy Coggan presents a number of present and possible future applications of the model will be discussed, so that viewers can appreciate the practical implications of this important advance. - Webinar 4/4

1. The New Power-Duration Model in WKO4
November 26, 2013 | Andrew R. Coggan, Ph.D.

2. The $64,000 question
Why attempt to mathematically model the powerduration relationship?
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3. The $64,000 answer
Because having a robust mathematical description
of an individual’s power-duration relationship provides
quantitative insight re. their unique abilities and paves
the way for other analyses.
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4. Importance of new power-duration model
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5. Uses for the power-duration model
1. Auto FTP
2. Pmax
3. FRC
4. dFRC
5. Phenotyping
6. Individual adaptations scores
7. Auto match finding
8. Identification of outliers
9. Optimal pacing strategy
10. Application to other sports
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6. Definitions of terms
• Pmax – the maximal power that can be generated for
a very short period of time. Units are W or W/kg.
• Functional reserve capacity (FRC) – the total amount
of work that can be done during continuous exercise
above FTP before fatigue occurs. Units are kJ or J/kg.
• Functional threshold power (FTP) – the highest
power that can be sustained in a quasi-steady-state
for a prolonged period of time. Units are W or W/kg
Andrew R. Coggan, Ph.D., Peaks Coaching Group, and/or TrainingPeaks are the owner(s) and/or licensee(s) of all intellectual property rights to this
presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

7. Uses for the power-duration model
1. Auto FTP
2. Pmax
3. FRC
4. dFRC
5. Phenotyping
6. Individual adaptations scores
7. Auto match finding
8. Identification of outliers
9. Optimal pacing strategy
10. Application to other sports
Andrew R. Coggan, Ph.D., Peaks Coaching Group, and/or TrainingPeaks are the owner(s) and/or licensee(s) of all intellectual property rights to this
presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

8. 1. Automatic estimation of FTP
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9. Auto-estimation of FTP
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10. Auto-FTP vs. 95% of best 20 min power
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11. 2. Calculation of Pmax
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12. Pmax vs. 1 s power
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13. 3. Calculation of FRC
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14. Benefits of the critical power model
“. . . the critical power concept is useful for two reasons. One, it
provides a very good conceptual framework for understanding
the most basic factors determining exercise performance/power
output (i.e., anaerobic and aerobic energy production), and how
the contribution of each varies as a function of time. Two,
actually measuring critical power and W’ is well within the
capacity of anyone who owns a power meter (and understands a
little bit about math), and thus provides a means of quantifying
changes in fitness beyond just even "I was able to sustain X watts
for Y seconds.”
- Yours truly, post to the wattage list on 2/11/2002
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15. Changes in FRC across seasons
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16. Changes in FRC across seasons
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17. Changes in FRC within a season
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18. Power-duration history chart in WKO4
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19. Approximate standards for FRC (in J/kg)
Men
Women
Category
FRC
Category
FRC
World class
>380
World class
>297
Exceptional
363-379
Exceptional
286-296
Excellent
347-362
Excellent
276-285
Very good
331-346
Very good
265-275
Good
316-330
Good
255-264
Moderate
301-315
Moderate
245-254
Fair
287-300
Fair
240-244
Novice 2
275-286
Novice 2
236-240
Novice 1
<274
Novice 1
<235
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20. 4. Dynamic FRC
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21. The origins of dFRC: modeling team pursuit
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22. Origins of dFRC: modeling other events
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23. Example of dFRC modeling: track racing
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24. Example of dFRC modeling: track racing
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25. Example of dFRC modeling: intervals
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26. Example of dFRC modeling: intervals
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27. Example of dFRC modeling: intervals
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28. Example of dFRC modeling: hillclimb TT
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29. Example of dFRC modeling: criterium
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30. Example of dFRC modeling: intervals
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

31. 5. Phenotyping
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32. Phenotyping in WKO4
• The objective classification of a cyclist as a “sprinter”,
“pursuiter”, “all-rounder”, or “TTer” based on
quantitative analysis of the shape of their individual
power-duration relationship.
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33. Evolution of rider phenotyping
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34. Automatic rider phenotyping in WKO4
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35. Phenotype map
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36. Automatic rider phenotyping in WKO4
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.
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37. Power-duration standards in WKO4
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

38. 6. Individual adaptation scores
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

39. Modeling adaption instead of stress/strain
“(That is why) it is TSS (training stress score) and not TPS
(training performance score).”
– Yours truly, post to the the wattage list on 4/30/2005
“XXXX had it right when he indicated that TSS is merely
a measure of the overall training load/stress, and in and of itself
is *not* a predictor of (aerobic) performance. At least in theory,
it is possible to derive a metric that would more directly predict,
e.g., changes in functional threshold power, but this would entail
more than just ignoring the additional strain resulting from very
high intensity exercise . . . it would require discounting that strain
relative to that encountered at lower intensities.”
– Yours truly, post to the the wattage list on 9/26/2005
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

40. Relationship between training and performance
Stimulus
System
Response
(stress)
(strain)
Training load
Performance
(“dose”)
Athlete
(↑ or ↓)
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

41. 7. Automatic match finding
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42. What is a “match”?
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43. Example of automatic match identification
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44. 8. Identification of outliers
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

45. Identification of outliers
2000
1800
1600
Power (W)
1400
1200
1000
800
600
400
200
0
1
10
100
1000
Duration (s)
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10000
100000

46. Variability of human performance
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

47. 9. Calculation of optimal pacing strategy
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

48. Analysis of TT pacing strategy - 2003
Where I lost!!
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

49. Optimal pacing strategy - 2006 national TT
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presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

50. 10. Application to other sports
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51. Application of the model to running
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52. Application of the model to swimming
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53. Conclusions
The new power-duration model in WKO4 serves as
the basis for numerous other analyses that can
potentially provide important new insight for
powermeter users.
Andrew R. Coggan, Ph.D., Peaks Coaching Group, and/or TrainingPeaks are the owner(s) and/or licensee(s) of all intellectual property rights to this
presentation and the material it contains. These works are protected by copyright laws and treaties around the world. All such rights are reserved.

54. Stay Updated
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