“…In the 57 studies that investigated load–injury/illness relationships, many different load measures were used, including training exposure ( n = 14, 24 %) [35, 40–52]; number of sessions/matches ( n = 5, 8 %) [46, 47, 53–55], number of skill repetitions [e.g. number of deliveries bowled for cricketers] ( n = 6, 10 %) [56–61]; days between/frequency of matches ( n = 8, 14 %) [53, 55, 56, 62–66]; heart rate ( n = 4, 7 %) [48, 55, 67, 68]; RPE ( n = 2, 3 %) [69, 70]; sRPE ( n = 21, 36 %) [26, 36, 40, 54, 57, 68, 70–84]; number/intensity of collisions ( n = 2, 3 %) [64, 65]; distance [both self-reported and GPS derived] ( n = 6, 10 %) [34, 49, 68, 69, 85, 86]; velocity/acceleration GPS-derived measures ( n = 2, 3 %) [38, 85]; metabolic equivalents [MET] ( n = 1, 1 %) [87]; the Baecke Physical Activity Questionnaire [88] ( n = 1, 1 %) [89]; and a combined volume and intensity ranking [1–5 scale] ( n = 1, 1 %) [90]. A number of fatigue measures were also used in the 26 studies that investigated fatigue–injury/illness relationships, including perceptual wellness scales ( n = 13, 50 %) [37, 39, 48–50, 75, 80, 81, 91–95]; sleep quantity/quality ( n = 6, 23 %) [39, 48, 71, 80, 95, 96]; immunological markers ( n = 12, 46 %) [49, 54, 73, 82, 83, 87, 89, 90, 97–100]; and stress hormone levels ( n = 6, 23 %) [75, 81–83, 100, …”