Monitoring physical match performance relative to peak locomotor demands: implications for training professional soccer players

Oliva-Lozano, José M.; Riboli, Andrea; Fortes, Víctor; Muyor, José M.

doi:10.5114/biolsport.2023.116450

Cited by 9 publications

(12 citation statements)

References 26 publications

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“…In addition, different running metrics have been used, total distance, high intensity running, sprinting, accelerations and decelerations (Whitehead et al, 2018). These analyzes of peak periods help in the organization of training microcycles, in addition, athletes analyze in a sport that can meet the real requirements of the match (Oliva-Lozano et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Contextual variables affect peak running performance in elite soccer players: A brief report

Augusto

Brito

Aquino

et al. 2022

Front. Sports Act. Living

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The current brief research report aimed to investigate the influence of contextual variables on peak running performance in male elite soccer players. We analyzed 29 matches of an elite soccer team during the Brazilian Serie A 2019. Twenty players were tracked using GPS units. Peak physical performance was determined using moving average running values with different time windows (1, 3, and 5-min periods). The variables analyzed were total distance covered, total distance covered in high-intensity running (≥19.8 km·h−1), and the distance in accelerations (≥2 m·s−2) and decelerations ( ≤-2 m·s−2). Four contextual variables were considered: 1) positional status; 2) match location; 3) match outcome; and 4) match status. Central defenders showed a lower 1-min peak total distance in relation to all other positions (p = 0.001–0.03). Peak physical performance was higher in away matches for high-intensity running, acceleration, and deceleration (p = 0.01–0.03). In matches that ended in losses, peak values for high-intensity running and acceleration were higher compared to draws and wins (p = 0.01–0.04). Regarding the match status, higher values were observed in draws than wins and losses (p = 0.01). Peak running performance vary according to contextual variables of the match in male elite soccer players. Positional differences were found for peak periods, and physical performance was higher in away matches.

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Section: Introductionmentioning

confidence: 99%

Contextual variables affect peak running performance in elite soccer players: A brief report

Augusto

Brito

Aquino

et al. 2022

Front. Sports Act. Living

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“…The quantification of peak locomotor demands, commonly known as worst-case scenarios, has received researchers’ attention in the past years, and the available literature about this concept is considerably growing [ 1 ]. Its relevance within the football domain has previously been shown by several authors [ 2 – 4 ], particularly when direct comparisons with the whole-match average physical demands are made [ 5 ]. The applicability of this load monitoring strategy is varied and can be useful for the reduction of injury potential risk, recovery strategies, training interventions, and individualization of the training process [ 6 – 8 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of peak locomotor demands in women’s football–the influence of different epoch lengths

Baptista,

Winther,

Johansen

et al. 2024

PLoS ONE

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The quantification of peak locomotor demands has been gathering researchers’ attention in the past years. Regardless of the different methodological approaches used, the most selected epochs are between 1-, 3-, 5- and 15-minutes time windows. However, the selection of these time frames is frequently arbitrary. The aim of this study was to analyse the peak locomotor demands of short time epochs (15, 30, 45, and 60 seconds) in women’s football, with special emphasis over the high-speed metrics. During two seasons, the match physical performance of 100 female football players was collected with Global Positioning System units (STATSports Apex). Peak locomotor demands for the selected variables were calculated by using a 1-second moving average approach. For statistical procedures, linear mixed modelling was used, with total distance, high-speed running distance (>16 km∙h-1), sprint distance (>20 km∙h-1), and acceleration and deceleration distance (±2.26 m∙s-2) considered as the dependent variables and the epoch lengths (15, 30, 45, and 60 seconds) considered as the independent variables. A novel finding was the high ratio observed in the 15 seconds epochs of high-speed running distance and sprint distance (77.6% and 91.3%, respectively). The results show that most peak high-speed demands within 60 seconds are completed within just 15 seconds. Thus, intensity-related variables, such as high-speed metrics, would be better contextualised and adapted into training practices if analysed in shorter epoch lengths (15–30 seconds), while longer periods might be used for volume-related metrics (i.e., total distance), depending on the purpose of the analysis.

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“…The MDP during official matches were widely investigated in Serie A [ 11 ], French Ligue 1 [ 4 ], English Championship [ 16 ], reserve squad Spanish La Liga [ 3 , 17 ] and Spanish La Liga 123 [ 18 , 19 ] men soccer players. These highlighted that both 90-min avg and the MDP across different durations should be considered as a reference for training prescriptions [ 20 , 21 ]. The MDP across different #102/14) approved the durations may provide information to compare ball drills (e.g., smallsided games with or without goalkeepers, individual positional drills, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, conditioning for the MDP and whole match (90-min avg ) relative intensity should be only a part of the overall periodized training programmes [ 14 , 21 ]. Although 90-min avg , 1-min peak and MDP across different time windows (e.g., 1, 2, 3, 5, 10 min periods) could guide the training prescription [ 6 , 11 , 14 ], also the distribution of match activities relative to the maximum intensities has been recently reported [ 20 ] as a tool to reduce the gap between training and official match demands. The distribution analysis investigates the demands of each minute from the most demanding minute (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The distribution analysis investigates the demands of each minute from the most demanding minute (i.e. 1-min peak ) to the less demanding minute during official matches and it may be used as a tool to have a more comprehensive analysis of the individual official match demands [ 21 ], as recently demonstrated in Australian soccer [ 22 ], rugby league [ 22 ], Italian Serie A [ 21 ] and Spanish La Liga men soccer players [ 20 ]. To the best of our knowledge, also the distribution of match activities regarding peak demands has not been previously investigated in top-class women’s soccer.…”

Section: Introductionmentioning

confidence: 99%

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Top-class women’s soccer performance: peak demands and distribution of the match activities relative to maximal intensities during official matches

Riboli,

Francini,

Rossi

et al. 2024

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The aims of the current study were to determine the most demanding passages of match play (MDP) and the distribution of match activities relative to maximum intensities during official matches in top-class women soccer players. Twenty-eight women players competing in European championship and international UEFA competitions were monitored during 38 official matches (277 individual samples). Maximum relative (m · min −1 ) total distance (TD), high-speed running (HSRD), very high-speed running (VHSRD), sprint, acceleration and deceleration distances were calculated across different durations (1–5, 10, 15, 90 min) using a rolling average analysis. Maximum intensities (1-min peak ) were used as the reference value to determine the distribution of relative intensity across the whole-match demands (90-min avg ). Time and distance higher than 90-min avg (> 90-min avg ) were also calculated. MDP showed moderate to very large [effect size (ES): 0.63/5.20] differences between 1-min peak vs all durations for each parameter. The relative (m · min −1 ) 1-min peak was greater than 90-min avg of about +63% for TD, +358% for HSRD, +969% for VHSRD, +2785% for sprint, +1216% for acceleration, and +768% for deceleration. The total distance covered > 90-min avg was ~66.6% of the total distance covered during the 90-min avg for TD, ~84.8% for HSRD, ~97.4% for VHSRD, ~100% for sprint, ~99.1% for acceleration and ~98.2% for deceleration. The relative distance > 90-min avg was higher ( P < 0.05) than the 90-min avg for each metric (ES: 2.22 to 7.58; very large ). The present results may help coaches and sport scientists to replicate the peak demands during training routine in top-class women soccer players.

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Monitoring physical match performance relative to peak locomotor demands: implications for training professional soccer players

Cited by 9 publications

References 26 publications

Contextual variables affect peak running performance in elite soccer players: A brief report

Contextual variables affect peak running performance in elite soccer players: A brief report

Analysis of peak locomotor demands in women’s football–the influence of different epoch lengths

Top-class women’s soccer performance: peak demands and distribution of the match activities relative to maximal intensities during official matches

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