Table 3.

Articles predominantly related to injuries.

Study and sport in which the study was carried out	Sample	Main outcomes measured	Results	Quality score (%)
(30)—Field Hockey	32 Elite players from the Korean Female National Team: 11 defenders, nine midfielders, and 12 forwards. Goalkeepers were excluded.	GPS monitoring was used to record the distance traveled while running at various speeds, sprinting time, and top speed in 20 international competitions. Non-contact injuries with knee and ankle pain were documented.	Low-intensity running distance was considerably greater among athletes who did not suffer an injury during the course of the trial. The risk of in-game knee injury decreased as the distance covered while running at low speed increased.	86.7
(29)—Basketball	2,613 observations and 246 games from 33 different players of a professional male basketball team	Injuries that occurred during regular-season games were reported. Tracking data (speed and distance traveled, mechanical load variables, and locomotor factors) were recorded.	Athletes who experienced less than three DEC per game and ran less than 1.3 miles per game were at a higher risk of injury.	86.7
(7)—Football	26 elite male players (age = 26 ± 4 years; height = 179 ± 5 cm; body mass = 78 ± 8 kg).	Training workload by the GPS: Two Features-Total Distance (dTOT) and HSR Distance (dHSR), and three features-Metabolic: Distance (dMET), HML Distance (dHML), and HMLD Distance per minute (dHML/m).	Distance traveled (DT) can detect approximately 80% of the injuries with nearly 50% precision. The injury forecaster results in a cumulative f1-score = 0.60 on the injury class; In an evolutive scenario, the features chosen modify as the season progresses.	73.3
(99)—Australian Football	45 elite players from one club (age, 22 ± 3 years, height, 190 ± 7 cm; mass, 89 ± 8 kg)	Running efforts using GPS units: absolute, predefined speed criteria or relative, individualized speed thresholds. Players were separated into three equal groups: (1) faster, (2) moderate, and (3) slower. Non-contact injuries were documented.	Slower players with increased relative extremely high-speed running had a higher risk of injury, and greater absolute speed ACWR indicated an increase in injury, whereas greater relative high-speed ACWR promoted a decrease in injury.	93.3
(101)—Australian Football	26 elite male professional players (mean ± SD: age 22.8 ± 3.3 years, range 18–30 years, height 187.1 ± 7.2 cm; body mass 85.8 ± 7.4 kg)	EL by GPS units [distance (m), SPD (>7 m-s-1(m), ACC [3–15 m-s-2(n)], DECC (−3 to −15 m-s-2) (n), PL (a.u), and impacts >3 g (n)]. Creatine Kinase [CK] levels were tested before and after each match.	CK increased in competition. Impacts and game time were most strongly associated with postmatch CK. DEC, ACC, impacts, and SPD are strong predictors of CK. CK is an indicator of muscle damage during competition, with impacts and HIR traits being the best predictors.	100
(11)—American Football	115 players participated in the 2014–2015 season, and 117 participated in the 2015–2016 season.	GPS units were used to determine PL. All injuries sustained during practice or games were documented.	Injuries are associated with greater increases in workload. Individuals with an ACWR ratio greater than 1.6 are 1.5 times more likely than time- and position-matched controls to experience an injury.	86.7
(100)—Gaelic Football	25 male elite-level players (n = 25; age 25 ± 3.7 years, height 182.2 ± 6.2 cm; body mass (BF) 86.7 ± 7.8kg; %BF 12.7 ± 3.6%)	TD, PL, and meters covered at different running speeds were collected through GPS data. All injuries sustained during practice or games were documented.	Players who completed <50% of preseason sessions had a greater probability of non-contact injuries. Increased preseason running loads may lower the risk of injury while also improving or preserving aerobic fitness.	100
(12)—Field Hockey	14 professional female players (age: 20.4 ± 5.4 years; body mass: 60.7 ± 7.2 kg; height: 167.0 ± 1.0 cm)	Muscle strength, GPS data (TD; ACC/DEC intensity level, and player wellness during and after matches using various tools such as s-RPE, GPS units, 5-WQ, and TQR.	Players experienced decreased hip strength and acute fatigue after the second postmatch, with prolonged reduced strength in the non-dominant limb. Fatigue levels returned to normal after 48 h.	86.7
(84)—Football	21 professional players aged 28.3 ± 3.9 years.	Acute workload (AW); Chronic Workload (CW); ACWR; and Increment in acute workload (Δ-AW) were estimated through EL data by using GPS units throughout the training period and during matches.	Workload and the occurrence of non-contact injuries have a good association, according to high load weeks.	93.3
(102)—Football	33 male professional players 25.9 ± 3.8 years; 182.1 ± 6.9 cm; 74.2 ± 6.7 kg	GPS units to assess kinematic (TD, HSR) and mechanical (ACC/DEC) metrics. Injuries were also assessed.	Over a 4-week period, a considerable increase in players’ weekly external load performance may have an adverse effect on the occurrence of injuries.	93.3