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The acute:chronic workload ratio (ACWR) is a metric that can be used to monitor training loads during sport. Over the last decade researchers have investigated how this metric relates to injury, yet little consideration has been given to how this metric interacts with performance. Two prospective longitudinal studies were implemented investigating internal and external ACWRs and match outcome in junior tennis players. Forty-two and 24 players were recruited to participate in the internal and external load studies, respectively. Internal load was measured using session rate of perceive exertion, while external load was defined as total swing counts. The main dependent variable was tennis match performance which was extracted from the universal tennis rating website. The ACWR for internal and external load were the primary independent variables. Acute load was defined as the total load for one week, while a 4-week rolling average represented chronic load. There were no significant associations between internal (p-value = .23) or external (p-value = .81) ACWR and tennis match performance as assessed by multivariate regressions. The ACWRs in these datasets were close to 1.00, thus a balanced training load was undertaken by these athletes upon entering match play but was not related to match success.

The acute:chronic workload ratio (ACWR) is a metric that can be used to monitor training loads during sport. Over the last decade researchers have investigated how this metric relates to injury, yet little consideration has been given to how this metric interacts with performance. Two prospective longitudinal studies were implemented investigating internal and external ACWRs and match outcome in junior tennis players. Forty-two and 24 players were recruited to participate in the internal and external load studies, respectively. Internal load was measured using session rate of perceive exertion, while external load was defined as total swing counts. The main dependent variable was tennis match performance which was extracted from the universal tennis rating website. The ACWR for internal and external load were the primary independent variables. Acute load was defined as the total load for one week, while a 4-week rolling average represented chronic load. There were no significant associations between internal (p-value = .23) or external (p-value = .81) ACWR and tennis match performance as assessed by multivariate regressions. The ACWRs in these datasets were close to 1.00, thus a balanced training load was undertaken by these athletes upon entering match play but was not related to match success.

The acute:chronic workload ratio (ACWR) is a metric that can be used to monitor training loads during sport. Over the last decade researchers have investigated how this metric relates to injury, yet little consideration has been given to how this metric interacts with performance. Two prospective longitudinal studies were implemented investigating internal and external ACWRs and match outcome in junior tennis players. Forty-two and 24 players were recruited to participate in the internal and external load studies, respectively. Internal load was measured using session rate of perceive exertion, while external load was defined as total swing counts. The main dependent variable was tennis match performance which was extracted from the universal tennis rating website. The ACWR for internal and external load were the primary independent variables. Acute load was defined as the total load for one week, while a 4-week rolling average represented chronic load. There were no significant associations between internal (p-value = .23) or external (p-value = .81) ACWR and tennis match performance as assessed by multivariate regressions. The ACWRs in these datasets were close to 1.00, thus a balanced training load was undertaken by these athletes upon entering match play but was not related to match success.

Objectives: Examining the relationship between workloads (miles ran) of collegiate cross-country (XC) athletes (n=18) and symptoms of injury or illness over the course of 10 weeks. This can assist sport coaches, athletic performance coaches, and athletic trainers in keeping athletes healthy and furthering adaptation throughout the course of the season, thus improving the team’s overall success during the season. Purpose: The purpose of this study was to show a relationship between an Acute and chronic workload ratio (ACWR) in miles run and weight lifted, ACWR in miles run grouped by z-scores, weight, age, years of collegiate XC experience, miles ran during the previous summer, a four-week rolling average of miles ran and injury or illness symptoms in collegiate XC runners. Methods: Descriptive data was collected during the initial survey. Weight was collected throughout the 10 weeks during the 2018 XC season at the University of Montana. Workload and illness and injury data were collected over the course of the season via the run2win team website and weekly surveys. Cumulative workloads (1-weekly, 2-weekly, 3-weekly, 4-weekly) in addition to the ACWR, acute workload (current weekly miles) divided by chronic workload (previous four-week average) were classified into discrete ranges by z-scores. A binary logistic analysis was used with these and other variables (Total in season miles, miles ran during the summer, a dichotomized 4-week average, and number of years of collegiate XC) were used to predict the likelihood of symptoms of injury or illness during the 2018 XC season. Results: The study began with 28 participants, 13 males and 15 females. 10 athletes were dropped from the study. There were 68 reported symptoms of injury or illness (48 injury, 25 illness, 5 with both). A total of 57 days of training were missed, 47 days due to injury and 10 days due to illness. A strong positive correlation (p Conclusion: The use of an ACWR along with the other variable