Quantifying the Training and Match-Play External and Internal Load of Elite Gaelic Football Players

The running performance of elite ladies Gaelic football with respect to position and halves of play

Purpose

The current investigation aimed to examine the running performance of elite Ladies Gaelic football (LGF) match-play and establish the within game positional profile, in addition to the running performance of players across halves of play.

Methods

GPS technology was used to examine the running performance of thirty-three (n = 33) elite LGF players (age; 23 ± 5 years, height; 173 ± 5 cm, body mass; 63 ± 4 kg). Across the duration of the observational period, one hundred and thirty-one (n = 131) individual samples were collected over 15 competitive matches. Data were classified based on positional line and across halves of play. Running performance was determined across the following performance variables of total distance covered (m) (TD), relative distance (m·min−1), HSR (≥ 4.4 m·s−1), RHSR (HSR; m·min−1), percentage HSR (% HSR), VHSR (≥ 5.5 m·s−1), peak velocity (m s−1), percentage peak velocity (% PeakV), accelerations (n; ≥ 3 m·s−2) and decelerations (n; ≤ − 3 m·s−2),

Results

Independent of position the mean distance covered during match play was 7319 ± 1021 m which equates to a relative work rate of 116 ± 9 m·min−1. The high-speed distance of players was 1547 ± 432 m, which equates to a relative high-speed running distance of 25 ± 11 m·min−1. The maximal velocity of players was 7.17 ± 0.41 m·s−1 reflective of a relative maximal velocity of 86 ± 4 percent. The greatest distances were covered by half-backs, midfielders, and half-forwards, with these positions covering significantly greater distances than full-backs (p ≤ 0.05; ES: 0.59–1.25; small-moderate) and full-forwards (p ≤ 0.05; ES: 0.44–1.21; small-moderate). While TD and maximal velocity was shown not to change across halves of play, significant reductions (p ≤ 0.05) were observed across HSR (ES: 0.64–1.02; moderate), accelerations and decelerations (ES: 0.59–1.20; moderate).

Conclusion

The current investigation is the first of its kind within elite LGF, the data within the investigation can aid the coaching process by allowing for the development of sport-specific training regimen specific to the positional needs of elite LGF players.

The Association between Pre-season Running Loads and Injury during the Subsequent Season in Elite Gaelic Football

The aim of this study was to determine if the quantity of running load performed in pre-season affects the incidence of injury in elite Gaelic footballers. It was hypothesized that a greater quantity of running loads completed will reduce the incidence rate of injury. A cohort of elite male Gaelic football players (n = 25) was prospectively monitored throughout one full season. This longitudinal study involved the collection of GPS data and injury data. Participants were retrospectively divided into two groups and assigned to a high (HTL, completed >50% of pre-season sessions, n = 13) or low (LTL, completed <50% of pre-season sessions, n = 12) training load group based on the percentage of pre-season sessions completed. Data for total distance, PlayerLoad™, meters covered at running speeds (4.0−4.84 m/s), meters covered at high running speeds (4.85−6.39 m/s), meters covered at sprint speeds (>6.4 m/s) and high-intensity running meters (high-speed running meters and sprint meters combined) were collected during all sessions. A one-way analysis of variance (ANOVA) was completed to understand the variation of external training load data across the different phases of the season. A series of repeated measures of ANOVA were subsequently completed to understand the variation of external training load data across seasonal phases within the training groups. Although the LTL group had a higher incidence rate of non-contact injuries (large effect size) per 1000 h of exposure in each phase of the season, statistical analysis revealed that there was no significant difference (F = 4.32, p = 0.173, partial η2 = 0.684, large) between the HTL (14.9 ± 4.17/1000 h) and the LTL (24.5 ± 7.36/1000 h) groups. Additionally, the HTL group was able to sustain greater running loads in the competitive phases of the season compared to the LTL group, total distance (F = 8.10, p < 0.001, partial η2 = 0.299, large), high-speed running distance (F = 8.74, p < 0.001, partial η2 = 0.304, large) and high-intensity running distance (F = 7.63, p < 0.001, partial η2 = 0.276, large). Furthermore, players who complete a greater proportion of running loads in pre-season may alter their body composition levels to more optimal levels, which in turn may reduce the risk of injury while also helping increase or maintain performance-related fitness markers such as aerobic fitness.

Quantification of Pre-Season and In-Season Training Intensity across an Entire Competitive Season of Asian Professional Soccer Players

The aim of this study was to quantify the training load in two microcycles (Ms) from pre- and another two from in-season and to analyze playing position influences on the load experienced by professional soccer players. Nineteen Asian athletes, including four central defenders, four wide defenders, six central midfielders, three wide midfielders, and two strikers participated in this study. The micro-electromechanical system was used to collect training duration, total distance, and data from Zone 1 (0−3.9 km·h−1), Zone 2 (4−7.1 km·h−1), Zone 3 (7.2−14.3 km·h−1), Zone 4 (14.4−19.7 km·h−1), and Zone 5 (>19.8 km·h−1), heart rate maximum (HRmax), and average (HRavg). The load was reduced on the last day of the Ms, with the exception of Zone 5, in M1, where higher values were found on the last day. Significant differences were observed between central and wide defenders for distance covered in Zone 4 (effect-size: ES = −4.83) in M2 and M4 (ES = 4.96). Throughout all the Ms, a constant HRmax (165−188 bpm) and HRavg (119−145 bpm) were observed. There was a tendency to decrease the load on the last day of the Ms. In general, there were higher external training loads in Ms from the pre-season than in-season. Wide defenders and wide midfielders showed higher distances covered with high-intensity running.

Direct Mobile Coaching as a Paradigm for the Creation of Mobile Feedback Systems

In sports feedback systems, digital systems perform tasks such as capturing, analysing and representing data. These systems not only aim to provide athletes and coaches with insights into performances but also help athletes learn new tasks and control movements, for example, to prevent injuries. However, designing mobile feedback systems requires a high level of expertise from researchers and practitioners in many areas. As a solution to this problem, we present Direct Mobile Coaching (DMC) as a design paradigm and model for mobile feedback systems. Besides components for feedback provisioning, the model consists of components for data recording, storage and management. For the evaluation of the model, its features are compared against state-of-the-art frameworks. Furthermore, the capabilities are benchmarked using a review of the literature. We conclude that DMC is capable of modelling all 39 identified systems while other identified frameworks (MobileCoach, Garmin Connect IQ SDK, RADAR) could (at best) only model parts of them. The presented design paradigm/model is applicable for a wide range of mobile feedback systems and equips researchers and practitioners with a valuable tool.