Relationships Between Model Estimates and Actual Match-Performance Indices in Professional Australian Footballers During an In-Season Macrocycle.

Purpose: To assess and compare the validity of internal and external Australian football (AF) training-load measures for predicting match exercise intensity (MEI/min) and player-rank score (PR_Score) using a variable dose-response model. Methods: A cohort of 25 professional AF players (23 ± 3 y, 188.3 ± 7.2 cm, 87.7 ± 8.4 kg) completed a 24-wk in-season macrocycle. In-season internal training and match load were quantified using session rating of perceived exertion (sRPE) and external load from satellite and accelerometer data. Using a training-impulse (TRIMP) calculation, external load (au) was represented as distance (TRIMP_Dist), distance ≥4.16 m/s (TRIMP_HSDist), and PlayerLoad (TRIMP_PL). In-season training load, MEI/min, and PR_Score were applied to a variable dose-response model, which provided estimates of MEI/min and PR_Score. Predicted MEI/min and PR_Score were correlated with actual measures from each match. The magnitude of the difference between MEI/min and PR_Score estimates for each model input and the difference between the precision of internal and external load measures to predict MEI/min and PR_Score were calculated using the effect size ± 90% confidence interval (CI). Results: Estimates of MEI/min demonstrated very large associations with actual MEI/min (r, 90% CI) (eg, TRIMP_Dist .76 ± .13, and sRPE_Skills .73 ± .14). Estimates of PR_Score demonstrated associations of large magnitude with actual PR_Score using the same inputs. Precision of actual MEI/min was lowest using sRPE compared with (ES ± 90% CI) TRIMP_Dist, -.67 ± .34, and TRIMP_PL, -.91 ± .39. There were trivial and unclear differences in the precision of PR_Score estimates between TRIMP and sRPE inputs. Conclusions: Dose-response models from multiple training-load inputs can predict within-individual variation of MEI/min and PR_Score. Internal and external training-input methods exhibited comparable predictive power. [ABSTRACT FROM AUTHOR]