The influence of match outcome on running performance in elite Gaelic football

Mangan, Shane; Malone, Shane; Ryan, Mary Morgan; McGahan, Jason; O’Neill, Cian; Burns, Con; Warne, Joe; Martin, Denise; Collins, Kieran

doi:10.1080/24733938.2017.1363907

Cited by 30 publications

(43 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This method helped minimize factors that may influence a player's RPE rating, such as peer pressure and replicating other players' ratings [9]. During the observational period, all players wore the same GPS unit (4Hz, VX Sport, Lower Hutt, New Zealand) for each training and match sessions to minimize interunit error [3][4][5][6][7]. The device was activated, and the satellite lock established for a minimum of 15 min before the commencement of each match [22].…”

Section: Training Load Analysismentioning

confidence: 99%

“…Initially, practitioners were limited to the use of subjective scales to monitor players training load across weekly and seasonal periods (e.g., pre-season, in-season, club, provincial and championship phases). However, in recent times advancements in technology have resulted in the utilization of global positioning systems (GPS) and accelerometers within Gaelic football teams [3][4][5][6][7]. These two training load constructs of internal (RPE, sRPE) and external (GPS) load represent the two main monitoring mechanisms utilized by coaching staff to understand players loading across daily, and weekly phases during the season [8,9], with a combination of these two training factors typically manipulated for training planning, volume, and intensity [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…However, it is unknown whether the periodization practices adopted demonstrate the necessary variation in training load that is typically associated with existing periodization practices [20]. Additionally, it is unknown if differences exist in loading strategies between playing positions, with positional-difference information limited to match-play data [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

The current investigation quantified the training and match-play load of elite Gaelic football players across a two-season period using global positioning system technology (GPS), rating of perceived exertion (RPE) and sessional rating of perceived exertion (sRPE). Total weekly workload variables were collected across GPS, RPE, and sRPE across thirty-six elite Gaelic footballers (mean ± SD, age: 26 ± 5 years; height: 177 ± 8 cm; mass: 81 ± 7 kg) from one elite squad during a two-season observational period. External training load variables included: Total distance (m), High speed running (m; ≥ 17.1 km·h−1), Sprint distance (m; 22 km·h−1), Accelerations (n), Average metabolic power (W·kg−1), High-power distance (m; ≥ 25 W·kg−1). Internal load variables included: sRPE and RPE. Repeated measures ANOVA were used to understand the differences in loading patterns across phases, position, and week types when significant main effects were observed a Tukey’s post hoc test was applied and standardized effect sizes were calculated to understand the practical meaning of these differences. When total weekly loading across phases was considered total load was significantly greater in club 1 and provincial 1 with these phases showing the highest loading for players when compared to all other phases (p ≤ 0.001; ES: 2.95–7.22; very large). Furthermore, in-season 1 was greater for total loading when compared to in-season 2 and both championship phases (p ≤ 0.05; ES: 0.47–0.54; small). Total distance in training was greater during preseason 1 when compared to all other phases of the season (p ≤ 0.001; ES: 2.95–7.22; very large). During the in-season period, training based total distance was higher during provincial 1 when compared to other phases with similar trends across all measures (p ≤ 0.005). Finally, a positional profile for load measures was observed, with weekly context (match or non-match) having an impact on the internal and external loading players experienced across phases. The current data provide useful information for practitioners on the training periodization currently present within the elite Gaelic football training process. Specifically, the data provide positional profiles of loading across weekly and segmented phased of an elite Gaelic football season. These data can increase understanding as to the periods of increased and decreased loading across different phases of an elite Gaelic football season, while providing a framework for future analysis concerning Gaelic football periodization.

show abstract

Section: Training Load Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hierarchical differences and temporal decrements in positional running [8,9], and activity profiles, PlayerLoad™ and heart rate responses [4] have also been identified. Additionally, players from higher ranked teams covered more distance at high speed (>~4.7 m•s -1 ) compared to lower ranked players [10,12], perhaps due to superior levels of conditioning. In Q4, players ran significantly less high-speed distance in big losses, defined as >6 points, compared to draws and wins [12], which highlights the importance of considering situational [13] and motivational factors [14] when interpreting performance data.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, players from higher ranked teams covered more distance at high speed (>~4.7 m•s -1 ) compared to lower ranked players [10,12], perhaps due to superior levels of conditioning. In Q4, players ran significantly less high-speed distance in big losses, defined as >6 points, compared to draws and wins [12], which highlights the importance of considering situational [13] and motivational factors [14] when interpreting performance data. Also, players competing in the latter stages of the AIC (i.e.…”

Section: Introductionmentioning

confidence: 99%

Alterations in Team Physical Performance and Possession in Elite Gaelic Football Competition

Gamble

Moyna

McCann

et al. 2020

AJSS

View full text Add to dashboard Cite

Differences in performance between winning and losing were examined in 1 elite Gaelic football team in 20 games across 2 complete competitive seasons. Possession was codified using Dartfish TeamPro software and distance covered; walking, jogging, running, and running at high and maximum speeds, was evaluated using Catapult OptimEye S5 player tracking devices. Distance covered in low intensity activity (LIA, ˂4.0 m.s-1), high intensity running (HIR, ≥4.0 m•s-1) and very high intensity running (VHIR, ≥5.5 m•s-1) was also examined along with PlayerLoad™, which represented a composite of all accelerations. Data from 53 players (n=405 files) was collated into specific match periods to facilitate a temporal analysis between the first and second halves and from quarter 1 (Q1) to quarter 4 (Q4), with significance accepted at p ≤ 0.05. Total distance and running was higher in games lost, whereas total distance, walking and LIA was higher in halves lost. Only walking was higher in quarters lost. The percentage of possession declined in halves and quarters lost. In games lost, high speed running declined in the second half. From Q1 to Q4; PlayerLoad™, total distance, jogging, high speed running, HIR and VHIR, decreased in all games combined and in games lost. Possession frequency declined in Q4 in all games and in games won. Overall, total distance was higher in games lost and physical performance declines were more pronounced when examined by match quarter compared to half and were only apparent in games lost. Similarly, reductions in possession frequency and percentage were more evident when examined by quarter or period lost, respectively. These findings can inform the prescription of conditioning and field-training strategies to mitigate the reductions in performance observed in losing and towards the end of games.

show abstract

Ecological validity of self-reported wellness measures to assess pre-training and pre-competition preparedness within elite Gaelic football

2020

Self Cite

View full text Add to dashboard Cite

The current investigation aimed to examine the ecological validity of self-reported wellness questionnaires, and specifically 'Readiness to Train' (RTT) as an indicator of pre-training and pre-competition preparedness within elite Gaelic football players. Thirty-seven (n = 37) elite male Gaelic football players (age 26 ± 4; height 181 ± 15 cm, weight 86 ± 4 kg) were recruited for the current study which took place during the 2017 competition season. Participants were monitored using global positioning system technology (GPS; 10-Hz; STATSports Viper Pod; STATSports; Newry, UK) and a self-reported questionnaire (Metrifit, Health, and Sport technologies, Ireland) to provide measures of internal load (RPE; sRPE) external load (GPS variables) and wellness questionnaire (Likert scale: 1-5 response) response to training loads. Results showed that irrespective of the model that the percentage RTT prior to training or match-play was not associated with and running performance measures. Activity type (p ≤ 0.0001), muscle soreness (p ≤ 0.0001), sleep quality (p ≤ 0.0001), and sleep duration (p ≤ 0.0001) all effected subsequent running performance during training and match-play. Furthermore, post hoc analysis showed that specific GPS variables and accumulated training load across specific time durations impacted RPE and total internal training load. Our results indicate that RTT is a poor measure of pre-training and competition preparedness, with individual sub-scales of wellness more appropriate to measure preparedness within Gaelic football players. Practitioners should pay close attention to fluctuations in sleep quality, sleep duration, and muscle soreness when planning training loads. Also, accumulated training loads impact players running capacity and perception of RPE highlighting the importance of longitudinally planning within the Gaelic football training process.

show abstract

The influence of match outcome on running performance in elite Gaelic football

Cited by 30 publications

References 25 publications

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

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

Alterations in Team Physical Performance and Possession in Elite Gaelic Football Competition

Ecological validity of self-reported wellness measures to assess pre-training and pre-competition preparedness within elite Gaelic football

Contact Info

Product

Resources

About