Relationships between model estimates and actual match-performance indices in professional Australian footballers during an in-season macrocycle

Journal article


Graham, Stuart R., Cormack, Stuart, Parfitt, Gaynor and Eston, Roger. (2018). Relationships between model estimates and actual match-performance indices in professional Australian footballers during an in-season macrocycle. International Journal of Sports Physiology and Performance. 13(3), pp. 339 - 346. https://doi.org/10.1123/ijspp.2017-0026
AuthorsGraham, Stuart R., Cormack, Stuart, Parfitt, Gaynor and Eston, Roger
Abstract

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 (PRScore) 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 (TRIMPDist), distance ≥4.16 m/s (TRIMPHSDist), and PlayerLoad (TRIMPPL). In-season training load, MEI/min, and PRScore were applied to a variable dose-response model, which provided estimates of MEI/min and PRScore. Predicted MEI/min and PRScore were correlated with actual measures from each match. The magnitude of the difference between MEI/min and PRScore estimates for each model input and the difference between the precision of internal and external load measures to predict MEI/min and PRScore 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, TRIMPDist .76 ± .13, and sRPESkills .73 ± .14). Estimates of PRScore demonstrated associations of large magnitude with actual PRScore using the same inputs. Precision of actual MEI/min was lowest using sRPE compared with (ES ± 90% CI) TRIMPDist, -.67 ± .34, and TRIMPPL, -.91 ± .39. There were trivial and unclear differences in the precision of PRScore estimates between TRIMP and sRPE inputs. Conclusions: Dose-response models from multiple training-load inputs can predict within-individual variation of MEI/min and PRScore. Internal and external training-input methods exhibited comparable predictive power.

Keywordsinternal training load; external training load; variable dose-response model
Year2018
JournalInternational Journal of Sports Physiology and Performance
Journal citation13 (3), pp. 339 - 346
PublisherHuman Kinetics Publishers
ISSN1555-0265
Digital Object Identifier (DOI)https://doi.org/10.1123/ijspp.2017-0026
Scopus EID2-s2.0-85044867777
Page range339 - 346
Research GroupSports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre
Publisher's version
File Access Level
Controlled
Place of publicationUnited States of America
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