Concept: International Rules Series
- The Journal of sports medicine and physical fitness
- Published over 2 years ago
Metabolic power has not yet been investigated within elite Gaelic football. The aim of the current investigation was to compare the metabolic power demands between positional groups and examine the temporal profile of elite Gaelic football match play.
To determine if pre-season adductor squeeze test and HAGOS function, sport and recreation subscale scores can identify Gaelic football players at risk of developing groin injury.
Hamstring injuries occur frequently in field sports, yet longitudinal information to guide prevention programmes is missing.
Report eccentric knee flexor strength values of elite Gaelic football players from underage to adult level whilst examining the influence of body mass and previous hamstring injury.
Predicting higher selection in elite junior Australian Rules football: The influence of physical performance and anthropometric attributes
- Journal of science and medicine in sport / Sports Medicine Australia
- Published about 4 years ago
To develop a physiological performance and anthropometric attribute model to predict Australian Football League draft selection.
The relationships between team performance indicators and match outcome have been examined in many team sports, however are limited in Australian Rules football. Using data from the 2013 and 2014 Australian Football League (AFL) regular seasons, this study assessed the ability of commonly reported discrete team performance indicators presented in their relative form (standardised against their opposition for a given match) to explain match outcome (Win/Loss). Logistic regression and decision tree (chi-squared automatic interaction detection (CHAID)) analyses both revealed relative differences between opposing teams for “kicks” and “goal conversion” as the most influential in explaining match outcome, with two models achieving 88.3% and 89.8% classification accuracies, respectively. Models incorporating a smaller performance indicator set displayed a slightly reduced ability to explain match outcome (81.0% and 81.5% for logistic regression and CHAID, respectively). However, both were fit to 2014 data with reduced error in comparison to the full models. Despite performance similarities across the two analysis approaches, the CHAID model revealed multiple winning performance indicator profiles, thereby increasing its comparative feasibility for use in the field. Coaches and analysts may find these results useful in informing strategy and game plan development in Australian Rules football, with the development of team-specific models recommended in future.
Aerobic Fitness and Playing Experience Protect Against Spikes in Workload: The Role of the Acute:Chronic Workload Ratio on Injury Risk in Elite Gaelic Football
- International journal of sports physiology and performance
- Published over 2 years ago
To examine the association between combined session-RPE workload measures and injury risk in elite Gaelic footballers.
Yo-Yo Intermittent Recovery Test Performance in Sub-Elite Gaelic Football Players from Under 13 to Senior Age Groups
- Journal of strength and conditioning research / National Strength & Conditioning Association
- Published over 2 years ago
Gaelic football is indigenous to Ireland and has similar locomotion profiles to soccer and Australian Football. Given the increasing attention on long-term player development, investigations into age-related variation in Yo-YoIR1 performance may provide useful information in talent identification, programme design, and player monitoring. Therefore, the aim of this study was to evaluate Yo-YoIR1 performance across Gaelic football age groups. Male participants (n = 355) were recruited from division one, Gaelic football teams. Participants were allocated to one of seven groups according to respective age groups from under 13 (U13), under 14, under 15 (U15), under 16 (U16), minor, under 21 (U21), to senior age groups. Total Yo-YoIR1 distance (m) increased progressively from U13 (885 ± 347 m) to U16 (1595 ± 380 m) equating to a rate of change of 180.2%. In comparison to U13, total distance at minor (1206 ± 327 m) increased by 136.4%. Subsequent increases were observed in U21 (1585 ± 445 m) and senior players (2365 ± 489). Minimum (800-880 m) and maximum (2240-2280 m) total distances were comparable for U15, U16, and U21 players. Differences in total distance (m) for all age groups were statistically significant when compared to U13 players (p<0.002). In comparison to U13 players the magnitude of differences between age groups for total distance were deemed to be large (ES >0.8). Similar trends were observed for maximum velocity and estimated VO2max. The evolution of Yo-YoIR1 performance in Gaelic football players from adolescents to adulthood highlights how maturation may influence sport-related running ability. Changes in Yo-YoIR1 performance should be closely monitored to optimise interventions for individuals transitioning across age groups.
Australian Rules football is a sport which evolved from Gaelic football and which is played by a large number of predominantly male participants in a number of countries. The highest participation rates are in the southern states of Australia. A retrospective review over a period of 14 years identified 14 cases of sudden cardiac death that occurred in individuals while playing the sport. All were male and ranged in age from 13 to 36 years with a mean and median age of 23 years. A spectrum of cardiac causes was identified including coronary artery atherosclerosis, myocarditis, anomalous coronary artery anatomy, arrhythmogenic right ventricular cardiomyopathy, and healed Kawasaki disease. In 5 cases the heart was morphologically normal raising the possibility of a channelopathy. No traumatic deaths were identified. Some of the individuals had experienced symptoms prior to the fatal episode and the role of pre participation screening in reducing mortality is discussed.
This study developed a method to determine whether the distribution of individual player performances can be modelled to explain match outcome in team sports, using Australian Rules football as an example. Player-recorded values (converted to a percentage of team total) in 11 commonly reported performance indicators were obtained for all regular season matches played during the 2014 Australian Football League season, with team totals also recorded. Multiple features relating to heuristically determined percentiles for each performance indicator were then extracted for each team and match, along with the outcome (win/loss). A generalised estimating equation model comprising eight key features was developed, explaining match outcome at a median accuracy of 63.9% under 10-fold cross-validation. Lower 75th, 90th and 95th percentile values for team goals and higher 25th and 50th percentile values for disposals were linked with winning. Lower 95th and higher 25th percentile values for Inside 50s and Marks, respectively, were also important contributors. These results provide evidence supporting team strategies which aim to obtain an even spread of goal scorers in Australian Rules football. The method developed in this investigation could be used to quantify the importance of individual contributions to overall team performance in team sports.