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	Profil siłowo-prędkościowy	Szacowanie 1RM
Dziedzina	Nauki o sporcie	Nauki o sporcie
Rodzina	Hypothesis test	Hypothesis test
Rok powstania	2007	1993
Twórca	Biomechanics Research Group	Matt Brzycki
Typ	mechanical profiling	submaximal prediction
Źródło pierwotne	Bampouras, T. M., Comyns, T. M., Daly, D. J., & Deighan, M. A. (2007). Comparison of the Wingate test and an isokinetic anaerobic test in recreationally active children. British Journal of Sports Medicine, 41(12), 822-825.	Brzycki, M. (1993). Strength testing: predicting a one-rep max from reps-to-fatigue. Journal of Physical Education, Recreation and Dance, 64(1), 88-90.
Inne nazwy	FVP, force-velocity curve, power profile, strength-speed balance	one-rep max prediction, estimated 1RM, strength prediction, maximal strength assessment
Pokrewne	5	5
Podsumowanie	The force-velocity profile characterizes an individual's mechanical properties across the force-velocity spectrum, revealing whether strength advantage lies in maximal force production or high-velocity power output. Formalized by Samozino and colleagues (2012), the FVP is derived from multiple load-velocity measurements (typically sprint starts, jumps, or push-off movements at various resistances) and mathematically modeled as a linear inverse relationship between force and velocity, anchored by maximal power. Athletes differ markedly in their FVP: some excel at moving heavy loads slowly (force-dominant), while others excel at moving light loads fast (velocity-dominant). Profiling identifies these phenotypes and informs targeted training interventions.	One-repetition maximum (1RM) estimation is a method to predict an athlete's maximum strength in a given lift without performing an actual maximal single repetition. Developed systematically by Matt Brzycki (1993) and refined by numerous researchers, 1RM estimation uses submaximal loads and repetition performance to extrapolate a strength ceiling. Rather than exposing untrained individuals, older adults, or post-injury athletes to the stress and injury risk of true 1RM testing, estimation provides a safer, time-efficient alternative. Multiple prediction equations exist, with varying accuracy depending on population and lift type.