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Running Browser

Default settings and constants

Default settings and fixed constants, read directly from the calculation code.

The values the app starts with. The first table can be changed in Settings; the second is fixed in the code.

The effort model in Settings, with its defaults.
SettingDefault
Lactate threshold pace4:00/km
Default Z2 (easy) pace5:10/km
Wind: no adjustment up to5 km/h
Wind: for each km/h above that1%
Elevation: adjusted from a gain of50 m
Elevation: per metre of gain per km1%
Unpaved terrain: a fully unpaved run10%
Rough terrain: a fully rough run25%
Rain5%
Snow10%
Temperature: comfortable range5–22 °C
Temperature: per °C outside it1%
Fixed constants of the models.
ConstantValue
Effort at threshold2.85
Effort, per second slower than threshold× e^−0.0115 per second
Effort, per second faster than threshold× e^0.01725 per second
Pace-effort table60 s faster to 90 s slower, every 10 s
Fatigue window21 days
Fatigue decay rate0.135 per day
Days with an entry needed for Fatigue15 days
Tempo score reference heart rate165 bpm
Threshold: a race lasting55 min
Race equivalence exponent (Riegel)1.06
Extra slowdown for the marathon2%
Fitness gain per build week0.3%, 4% in all
Weekly volume steps6% below 25 km, 5% to 50 km, 4% to 80 km, 3% above
Long run, share of the week (3 to 7 days)35% · 32% · 30% · 28% · 26%
Long run, at most40% of the week, 150 min (165 min for the marathon)
Second key session from6 days and 50 km a week

Sources & further reading

Background references

The values above come from Running Browser’s calculation code. These references provide background for the models; they do not independently validate the app’s chosen constants.

  1. Banister, E.W. (1991)

    Modeling elite athletic performance

    Physiological Testing of the High-Performance Athlete · Library record

  2. Foster, C. et al. (2001)

    A new approach to monitoring exercise training

    Journal of Strength and Conditioning Research

  3. Pugh, L.G. (1971)

    The influence of wind resistance in running and walking and the mechanical efficiency of work against horizontal or vertical forces

    Journal of Physiology

  4. Seiler, S. & Kjerland, G.O. (2006)

    Quantifying training intensity distribution in elite endurance athletes: is there evidence for an “optimal” distribution?

    Scandinavian Journal of Medicine & Science in Sports

  5. Riegel, P.S. (1981)

    Athletic records and human endurance

    American Scientist

  6. Daniels, J. (2014)

    Daniels’ Running Formula (3rd ed.)

    Human Kinetics · Library record

  7. Minetti, A.E. et al. (2002)

    Energy cost of walking and running at extreme uphill and downhill slopes

    Journal of Applied Physiology

  8. Ely, M.R. et al. (2007)

    Impact of weather on marathon-running performance

    Medicine & Science in Sports & Exercise

View the complete bibliography

Running Browser

Use the models in your own training

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