Endurancemodeller

Endurancemodeller is a term used to describe computational frameworks that simulate endurance performance and fatigue in humans. These models are used in sports science, coaching, and research to predict how athletes will perform under different training regimens, race conditions, and environmental stresses.

Most models in this class describe the body's energy production and fatigue through integrative representations of aerobic and anaerobic systems, substrate availability, temperature, hydration, and recovery processes. They often employ differential equations or agent-based simulations to track variables such as VO2, lactate concentration, glycogen depletion, heart rate, core temperature, and perceived exertion. Inputs may include body size and composition, baseline physiology (for example VO2max and lactate threshold), training history, and external factors such as distance, terrain, temperature, altitude, and nutrition. Outputs may include predicted pacing, estimated finishing time, fatigue level, and risk of performance breakdown.

Applications include planning training blocks, taper strategies, pacing plans, and acclimatization programs, as well as testing hypotheses about fatigue mechanisms. They are used by researchers to study endurance physiology and by coaches and athletes to optimize performance.

Because models rely on assumptions and parameter estimates, they produce estimates with uncertainty and may be sensitive to input quality. There is no universal standard for endurancemodeller; the term typically denotes a class of models rather than a single product.