Confronta i metodi

	Rapporto Carico Acuto-Cronico	RPE di sessione	Analisi tempo-movimento con tecnologia GPS e microsensori
Campo	Scienze dello sport	Scienze dello sport	Scienze dello sport
Famiglia	Hypothesis test	Hypothesis test	Hypothesis test
Anno di origine	2016	2001	2010
Ideatore	Tim Gabbett	Carl Foster	Osgnach & Di Prampero
Tipo	workload monitoring	subjective intensity assessment	GPS tracking
Fonte seminale	Gabbett, T. J. (2016). The training-injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273-280.	Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., & Dodge, C. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1), 109-115.	Gregory, P., & Drust, B. (2007). Physical demands of rugby union: quantification of accelerations and movements patterns in play. Journal of Strength and Conditioning Research, 21(2), 309-314.
Alias	ACWR, workload ratio, training load balance	sRPE, perceived exertion, subjective load	GPS analysis, movement tracking, workload quantification, physical demands
Correlati	3	3	4
Sintesi	The acute-chronic workload ratio (ACWR) is the ratio of acute training load (typically the past 1 week) to chronic training load (typically the rolling 4-week average). Formalized by Tim Gabbett (2016), ACWR is a widely adopted metric for predicting injury and illness risk in sports. The logic is straightforward: rapid increases in training load—when acute load spikes far above what the athlete has adapted to—exceed tissue tolerance and increase injury risk. Conversely, maintaining ACWR within optimal ranges (typically 0.8-1.3) is associated with better performance and lower injury incidence. ACWR monitoring is now standard in elite sports for load management.	Session rate of perceived exertion (sRPE) is a simple, athlete-centered method to quantify training load by combining perceived exertion intensity (RPE, 0-10 scale) with session duration. Introduced by Carl Foster (2001), sRPE avoids the need for external equipment (heart rate monitors, GPS, force plates) and captures the integrated physiological and psychological demands of any training modality. Despite its simplicity, sRPE correlates well with objective physiological markers (heart rate, lactate, VO2) and is widely adopted in elite and recreational sports for load management and recovery planning.	Time-motion analysis with GPS and micro-sensor technology quantifies the movement patterns, workload, and physical demands during training or match play in team sports. Pioneered by Osgnach and colleagues (2010), modern GPS units track athletes' positions in real-time, calculating distance covered, velocity profiles, and acceleration/deceleration frequencies. Combined with heart rate and other sensor data, GPS analysis provides comprehensive workload quantification enabling coaching staff to monitor player fatigue, balance training intensity, and prevent injury. GPS is now standard in elite soccer, rugby, Australian Rules football, and other intermittent sports.