High-intensity Accelerations Research Articles

Most Demanding Passages in Elite Futsal: An Isolated or a Repeat Situation?

The main purpose of this research was to examine not only the most demanding passages (MDP) of elite futsal matches through different external load variables: total distance covered (TD), distance covered at high-speed running (HSR), metres covered above 0.02 Player Load (PL), number of high-intensity accelerations (ACC) and decelerations (DEC); but also to analyse whether they may be repeated in the course of a single match for a single player. Data from one professional futsal player were collected using a local positioning system from a total of twelve official matches of the 1st Division of the Liga Nacional de Futbol Sala (LNFS) during 2018-2019. The rolling average method was used for all variables, using a one-minute time window. Data were re-analysed to identify the very high demanding passages (VHDPs; >90% of the mean of the three top MDP of all matches) and the high demanding passages (HDPs; 80%-90% of the mean of the three top MDP of all matches). The results showed that the VHDPs and HDPs in a single match did not present as an isolated situation. TD and ACC were the two most demanding variables in terms of repetition of HDPs and VHDPs.

Playing position specifics of associations between running performance during the training and match in male soccer players

Background: The relationship between the training load and game load considering soccer playing positions has not been sufficiently examined. Objective: The aim of this study was to examine the position-specific associations between running performance (RP) during the training and match in professional-level male soccer. Methods: The RPs of 15 players (age 23.57 ± 2.84 years, body height 181.9 ± 5.17 cm, body mass 78.36 ± 4.18 kg) were measured by the Global Positioning System over one half-season of the highest-level Croatian soccer competition and assessed according to their playing positions: central defenders (n = 22), fullbacks (n = 23), wide midfielders (n = 29), wingers (n = 6), and forwards (n = 12). Variables included the total distance covered; the distance covered by low intensity running, running, high-speed running, sprinting, and high intensity running; and the number of accelerations, high-intensity accelerations (HIA), decelerations, and high-intensity decelerations (HID). Results: Analysis of variance revealed significant differences in high-speed running, HID, and HIA (p = .01, all highest in forwards), and sprinting (p = .01, highest in the wide midfielders). The HIA and HID at training were significantly (p = .04 and .01, respectively) correlated (r = .42 and .52) with the corresponding match RP in fullbacks. The high-intensity running (high-speed running + sprinting), running, HIA and HID performance values were significantly correlated (r = .64, .52, .59, and .52, respectively; all p = .01) with the corresponding running performances from matches in central midfielders. Conclusions: Structure-specific training is highly recommended for some playing positions. The information obtained can be used to improve soccer training programs.

The first, second, and third most demanding passages of play in professional soccer: a longitudinal study.

The study aimed to compare the physical demands required during the first, second, and third most demanding passages (MDP) of play considering the effect of playing position, type of passage, and passage duration. A longitudinal study for three mesocycles was conducted in a professional soccer team competing in LaLiga123. Tracking systems collected total distance covered (DIS), high-speed running distance (HSRD), sprinting distance (SPD), total of high-intensity accelerations (ACCHIGH), and total of high-intensity decelerations (DECHIGH). The results confirmed that a significant effect of the type of passage (first, second or third MDP of play) on DIS (F(1.24, 178.89) = 115.53; p = 0.01; ηp2 = 0.45), HSRD (F(1.35, 195.36) = 422.82; p = 0.01; ηp2 = 0.75), SPD (F(1.43, 206.59) = 299.99; p = 0.01; ηp2 = 0.68), ACCHIGH (F(1.45, 209.38) = 268.59; p = 0.01; ηp2 = 0.65), and DECHIGH (F(1.45, 209.38) = 324.88; p = 0.01; ηp2 = 0.69) was found. In addition, a significant interaction between playing position, type and duration of the passage was observed in DIS (F(12.60, 453.47) = 1.98; p = 0.02; ηp2 = 0.05) and ACCHIGH (F(13.99, 503.78) = 1.92; p = 0.03; ηp2 = 0.06). In conclusion, significant differences in physical demands between the first, second, and third MDP of play were observed. However, there were some cases (DIS and ACCHIGH) in which no significant differences were found between these passages. Therefore, coaches should consider not only the magnitude of these peak intensity periods (e.g., distance covered per minute) but also the number of passages that players may experience during match play.

The Relationships Between External and Internal Workloads During Basketball Training and Games.

To investigate the relationships between external and internal workloads using a comprehensive selection of variables during basketball training and games. Eight semiprofessional, male basketball players were monitored during training and games for an entire season. External workload was determined as PlayerLoad™: total and high-intensity accelerations, decelerations, changes of direction, and jumpsand total low-intensity, medium-intensity, high-intensity, and overall inertial movement analysis events. Internal workload was determined using the summated-heart-rate zones and session rating of perceived exertion models. The relationships between external and internal workload variables were separately calculated for training and games using repeated-measures correlations with 95% confidence intervals. PlayerLoadwas more strongly related to summated-heart-rate zones (r = .88 ± .03, very large [training]; r = .69 ± .09, large [games]) and session rating of perceived exertion (r = .74 ± .06, very large [training]; r = .53 ± .12, large [games]) than other external workload variables (P < .05). Correlations between total and high-intensity accelerations, decelerations, changes of direction, and jumps and total low-intensity, medium-intensity, high-intensity, and overall inertial movement analysis events and internal workloads were stronger during training (r = .44-.88) than during games (r = .15-.69). PlayerLoadand summated-heart-rate zones possess the strongest dose-response relationship among a comprehensive selection of external and internal workload variables in basketball, particularly during training sessions compared with games. Basketball practitioners may therefore be able to best anticipate player responses when prescribing training drills using these variables for optimal workload management across the season.

Acceleration and sprint profiles of professional male football players in relation to playing position.

The study aims were to describe positional differences in the acceleration and sprint profiles of professional football players in match-play, and analyse start speeds required based on the intensity of accelerations and decelerations. This longitudinal study was conducted over thirteen competitive microcycles in a professional football team from LaLiga 123. Data were collected through electronic performance tracking systems. Every player was categorised based on the playing position: central defender (CD), full-back (FB), forward (FW), midfielder (MF), and wide midfielder (WMF). In respect of acceleration profile, positional differences were found for all variables (p < 0.05), except average magnitude of accelerations (ACCAVG, p = 0.56) and decelerations (DECAVG, p = 0.76). The sprint profile also showed positional differences for all variables (p < 0.05), apart from sprint duration (p = 0.07). In addition, although low-intensity accelerations required significantly greater start speeds (Vo) than high-intensity accelerations in WMF (0.4 ± 0.2 km/h; p < 0.05) and FW (0.4 ± 0.2 km/h; p < 0.05), no significant differences (p > 0.05) were found in CD, FB, and MF. However, high-intensity decelerations were performed at significantly higher Vo than low-intensity decelerations in MF (2.65 ± 0.1 km/h; p < 0.05), FW (3.3 ± 0.1 km/h; p < 0.05), FB (3.9 ± 0.4 km/h; p < 0.05), WMF (4.3 ± 0.3 km/h; p < 0.05), and CD (4.1 ± 0.7 km/h; p < 0.05). Therefore, positional differences exist for most variables of the acceleration and sprint profiles. In addition, different Vo were observed between high-intensity and low-intensity accelerations as well as high-intensity and low-intensity decelerations.

Validity of Real-Time Ultra-wideband Global Navigation Satellite System Data Generated by a Wearable Microtechnology Unit.

Johnston, RD, Hewitt, A, and Duthie, G. Validity of real-time ultra-wideband global navigation satellite system data generated by a wearable microtechnology unit. J Strength Cond Res 34(7): 2071-2075, 2020-This study aimed to determine the validity of real-time ultra-wideband data generated by a wearable microtechnology unit during rugby league training sessions using a repeated-measures crossover study. Twenty-four semiprofessional rugby league players wore a commercially available microtechnology device (StatSports Apex, Newry, Northern Ireland) during 10 training sessions. Total distance; moderate-speed running (3.6-4.9 m·s); high-speed running (5.0-6.9 m·s); very high-speed running (≥7 m·s); maximum velocity (m·s); the number of high-intensity accelerations (≥2.78 m·s) and decelerations (≥-2.78 m·s); dynamic stress load (AU); and high metabolic load distance (m) were recorded in real time through an Apex beacon over a secured wireless network before being exported to a csv file at the end of the session. The data were then downloaded to a computer after event. To determine the validity of the real-time data, they were compared with the postevent downloaded data using coefficient of variation and Pearson's correlation coefficient. There was almost perfect agreement between real-time and postevent downloaded data for all variables reported. The overall bias effect size scores were all trivial, ranging from 0.00 for total distance and high-speed running up to -0.12 for maximal velocity; Pearson's correlations were either perfect or nearly perfect (r = 0.98-1.00). Irrespective of the movement speed, the data collected by these devices in real time show excellent levels of agreement with postevent downloaded data.

Quantification of external load of elite rink hockey players in official matches.

The demands of elite rink hockey competition are unknown to coaches, although nowadays the explosion of tracking technology makes it possible to fill this research gap. The aims of this study were twofold: firstly, to describe the external load demands involved in a rink hockey match and secondly, to ascertain whether there were differences between exterior (EX) and interior or forward (IN) player positions. A retrospective observational study was conducted between 2017 and 2018 competitive season. Eight professional players (6 EX and 2 IN) participated voluntarily in the study during 9 official matches. Data logging was performed with a local positioning system and the variables studied were distance covered (DT), distance covered above 18 km/h (HSS), player load (PL), number of high-intensity accelerations (ACC) and number of high-intensity decelerations (DEC). The average values per player were 4646±1135 m of DT for EX and 4919±1374 for IN, 897±252 m of HSS for EX and 981±313 for IN (mean ±SD); 173±69 and 167.5±57.5 ACC for EX and IN, respectively, and 164±56 and 152.5±42 DEC for EX and IN, respectively (median±IQR); and there were no significant differences (P>0.05), between positions. The findings of this study allow us to ascertain the external load in matches and that EX and IN did not present different physical demands. With this information, coaches can adjust training loads more accurately.

The Most Demanding Scenarios of Play in Basketball Competition From Elite Under-18 Teams.

The main purpose of this study was to describe the most demanding scenarios of match play in basketball through a number of physical demand measures (high-intensity accelerations and decelerations, relative distance covered, and relative distance covered in established speed zones) for four different rolling average time epochs (30, 60, 180, and 300 s) during an official international tournament. A secondary purpose was to identify whether there were significant differences in physical demand measures among playing positions (centers, guards, and forwards) and levels (two best classified teams in the tournament and remaining teams), match scoring (winning, losing, and drawing), and playing periods (match quarter) at the moment of the most demanding scenarios. Data were collected from 94 male under 18 (U18) elite basketball players (age: 17.4 ± 0.7 years; stature: 199.0 ± 11.9 cm; body mass: 87.1 ± 13.1 kg) competing in a Euroleague Basketball Tournament. Measures were compared via a Bayesian inference analysis. The results revealed the presence of position-related differences [Bayesian factor (BF) > 10 (at least strong evidence) and standardized effect size (δ) > 0.6 (at least moderate)] so that centers covered a lower relative distance at speed zone 1 and had lower high-intensity accelerations and decelerations than guards. However, the Bayesian analysis did not demonstrate the existence of significant differences in any physical demand measure in relation to the playing level, match scoring, and playing periods at the moment of the most demanding scenarios. Therefore, this study provides coaches and strength and conditioning specialists with a most demanding scenario reference on physical demands that can be used as an upper limit threshold in the training and rehabilitation monitoring processes.

External Match Load in Women's Collegiate Lacrosse.

Devine, NF, Hegedus, EJ, Nguyen, A-D, Ford, KR, and Taylor, JB. External match load in women's collegiate lacrosse. J Strength Cond Res 36(2): 503-507, 2022-Quantifying external loads during athletic activities, particularly game-level competition, can provide objective data for the management of athlete performance, late-stage rehabilitation, and return-to-play decisions after lower extremity injury; yet, no studies have quantified these data in collegiate women's lacrosse athletes. The purpose of this study was to report external load values for collegiate women's lacrosse players and identify positional differences in activity demands during game competition. Load data were collected on 18 collegiate women's lacrosse players using a wearable global positioning system unit during a 19-game season. Descriptive statistics of distance, speed, and frequency (sprints, high-intensity sprints, high-intensity accelerations, high-intensity decelerations) measures were computed. Linear mixed models were used to identify differences between positions and phases of the season (α = 0.05). On average, players travelled 4,733 ± 2,294 m per game (range, 1,259-7,811 m), of which 656 ± 446 m (range 60-1,633 m) occurred at high-intensity speeds and reached a maximum speed of 24.1 ± 2.6 km·h-1 (range, 19.2-27.7 km·h-1). In each game, subjects averaged 124 ± 68 sprints, 6.1 ± 4.1 high-intensity sprints, 51 ± 34 high-intensity accelerations, and 38 ± 25 high-intensity decelerations. Positional differences were identified for total (p = 0.04) and relative (p = 0.01) distance travelled at high-intensity speeds, and frequency of sprints (p = 0.01) and high-intensity decelerations (p = 0.03). During game competition, collegiate women's lacrosse demands significant external load, much of which occurs at high intensities. These data provide sport- and position-specific values for reference during late-stage rehabilitation and return-to-play testing, allowing clinicians to quantitatively progress load tolerance throughout rehabilitation and guide safe return to play.

Accelerometry-based variables in professional soccer players: comparisons between periods of the season and playing positions.

The aim of this study was to provide reference data of variation in external training loads for weekly periods within the annual season. Specifically, we aimed to compare the weekly acute load, monotony, and training strain of accelerometry-based measures across a professional soccer season (pre-season, first and second halves of the season) according to players’ positions. Nineteen professional players were monitored daily for 45 weeks using an 18-Hz global positioning system to obtain measures of high metabolic load distance (HMLD), impacts, and high intensity accelerations and decelerations. Workload indices of acute load, training monotony, and training strain were calculated weekly for each of the measures. The HMLD had greater training strain values in the pre-season than in the first (p ≤ 0.001; d = 0.793) and second halves of the season (p ≤ 0.001; d = 0.858). Comparisons between playing positions showed that midfielders had the highest weekly acute load of HMLD (6901 arbitrary units [AU]), while central defenders had the lowest (4986 AU). The pre-season period was associated with the highest acute and strain load of HMLD and number of impacts, with a progressive decrease seen during the season. In conclusion, coaches should consider paying greater attention to variations in HMLD and impacts between periods of the season and between players to individualize training accordingly.

Game schedule congestion affects weekly workloads but not individual game demands in semi-professional basketball.

To quantify and compare workloads encountered by basketball players during individual games played across 1-, 2-, and 3-day periods in the same week, and during weeks where 1, 2, and 3 games are scheduled. Eight semi-professional male players were monitored. External workload was determined as absolute and relative (·min-1) PlayerLoad (PL), and total and high-intensity jumps, accelerations, decelerations, and changes of direction (COD). Internal workload was determined as absolute and relative summated heart rate zones (SHRZ), session-rating of perceived exertion (sRPE), and RPE. Game workloads were tabulated considering the order in which they were scheduled weekly (game 1, 2, or 3), and each week considering the number of games scheduled (1, 2, or 3 games). Analysing weekly workloads, duration was higher during 3-game than 1- and 2-game weeks (P <0.05, ES = 6.65-18.19). High-intensity decelerations and COD were higher during 3-game than 1-game weeks (P <0.05, ES = 1.26–1.55). Absolute PL, jumps, accelerations, decelerations, COD, and high-intensity jumps and accelerations were higher during 3-game than 1- and 2-game weeks (P <0.05, ES = 0.69–2.63). Absolute SHRZ and sRPE were higher during 3-game than 1- and 2-game weeks (P <0.05, ES = 0.86–2.43). Players completed similar individual game workloads regardless of the number of games played on consecutive days in the week. Workloads were similar during 1- and 2-game weeks, while the addition of a third game significantly increased the overall weekly workloads encountered.

Activity monitoring in professional soccer goalkeepers during training and match play

ABSTRACTThe purpose of the present study was to quantify the external load of professional soccer goalkeepers. Twenty professional goalkeepers participated in the study. Data were classified according to the number of days before or after the match day (MD) as follows: MD-4, MD-3, MD-2, MD-1 for the sessions before the match, and MD+1 for the session after the match. The total running distance covered (TD), the high metabolic load (HMLD), the number of high metabolic load efforts (HMLE) were progressively reduced from MD-4 to MD-1 but the values of these variables were always inferior to MD (ES: -3.79 to −1.11). There was a tendency for a progressive reduction in the number of high-intensity accelerations (ACC) and decelerations (DEC) from MD-4 to MD-1 although the values of ACC/DEC were superior to MD (ES: 0.19 to 2.05). Overall, MD-2 was the day with the lowest external load. During training sessions, starter goalkeepers performed more TD (ES: 0.36) and more HMLE (ES: 0.29) than non-starters. External load was progressively decreased in the days before match play for goalkeepers which is reflective of appropriate recovery and preparation practices within the cohort analysed. However, habitual goalkeepers training has an excess of accelerations/decelerations and a lack of running actions performed at high metabolic loads.

The Impact of Contextual Factors on Game Demands in Starting, Semiprofessional, Male Basketball Players.

To quantify and compare external and internal game workloads according to contextual factors (game outcome, game location, and score-line). Starting semiprofessional, male basketball players were monitored during 19 games. External (PlayerLoad™ and inertial movement analysis variables) and internal (summated-heart-rate-zones and rating of perceived exertion [RPE]) workload variables were collected for all games. Linear mixed-effect models and effect sizes were used to compare workload variables based on each of the contextual variables assessed. The number of jumps, absolute and relative (in min-1) high-intensity accelerations and decelerations, and relative changes-of-direction were higher during losses, whereas session RPE was higher during wins. PlayerLoad™ the number of absolute and relative jumps, high-intensity accelerations, absolute and relative total decelerations, total changes-of-direction, summated-heart-rate-zones, session RPE, and RPE were higher during away games, whereas the number of relative high-intensity jumps was higher during home games. PlayerLoad™, the number of high-intensity accelerations, total accelerations, absolute and relative decelerations, absolute and relative changes-of-direction, summated-heart-rate-zones, sRPE, and RPE were higher during balanced games, whereas the relative number of total and high-intensity jumps were higher during unbalanced games. Due to increased intensity, starting players may need additional recovery following losses. Given the increased external and internal workload volumes encountered during away games and balanced games, practitioners should closely monitor playing times during games. Monitoring playing times may help identify when players require additional recovery or reduced training volumes to avoid maladaptive responses across the in-season.

Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players.

Running performance (RP) and game performance indicators (GPI) are important determinants of success in soccer (football), but there is an evident lack of knowledge about the possible associations between RP and GPI. This study aimed to identify associations between RP and GPI in professional soccer players and to compare RP and GPI among soccer playing positions. One hundred one match performances were observed over the course of half of a season at the highest level of national competition in Croatia. Players (mean ± SD, age: 23.85 ± 2.88 years; body height: 183.05 ± 8.88 cm; body mass: 78.69 ± 7.17 kg) were classified into five playing positions (central defenders (n = 26), full-backs (n = 24), central midfielders (n = 33), wide midfielders (n = 10), and forwards (n = 8). RP, as measured by global positioning system, included the total distance covered, distance covered in five speed categories (walking, jogging, running, high-speed running, and maximal sprinting), total number of accelerations, number of high-intensity accelerations, total number of decelerations, and number of high-intensity decelerations. The GPI were collected by the position-specific performance statistics index (InStat index). The average total distance was 10,298.4 ± 928.7 m, with central defenders having the shortest and central midfielders having the greatest covered distances. The running (r = 0.419, p = 0.03) and high-intensity accelerations (r = 0.493, p = 0.01) were correlated with the InStat index for central defenders. The number of decelerations of full-backs (r = −0.43, p = 0.04) and the distance covered during sprinting of forwards (r = 0.80, p = 0.02) were associated with their GPI obtained by InStat index. The specific correlations between RP and GPI should be considered during the conditioning process in soccer. The soccer training should follow the specific requirements of the playing positions established herein, which will allow players to meet the game demands and to perform successfully.

Changes in physical demands between game quarters of U18 elite official basketball games.

PurposeThe aim of this study was to describe the physical demands during U18 elite basketball games according to the game quarter and to identify a smaller subset of variables and threshold scores that distinguish players’ physical performance in each quarter.MethodsData was collected from ninety-four players who participated in the study (age: 17.4 ± 0.74 years; height: 199.0 ± 0.1 cm; body mass: 87.1 ± 13.1 kg) competing in the Euroleague Basketball Next Generation Tournament. Players’ movements during the games were measured using a portable local positioning system (LPS) (WIMU PRO®, Realtrack Systems SL, Almería, Spain) and included relative distance (total distance / playing duration), relative distance in established speed zones, high-intensity running (18.1–24.0 km·h-1) and sprinting (> 24.1 km·h-1). player load, peak speed (km·h-1) and peak acceleration (m·s-2) number of total accelerations and total decelerations, high intensity accelerations (> 2 m·s-2) and decelerations (< -2 m·s-2).ResultsThere was an overall decrease in distance covered, player load, number of high intensity accelerations and decelerations between the first and last quarter of the games in all playing positions. A classification tree analysis showed that the first quarter had much influence of distance covered (above 69.0 meters), distance covered <6.0 km·h-1 and accelerations (> 2 m·s-2), whereas the fourth quarter performance had much influence of distance covered (below 69.0) and distance covered 12.1–18.0 km·h-1.ConclusionsA significant reduction in physical demands occurs during basketball, especially between first and last quarter for players in all playing positions during basketball games of under 18 elite players.

Physical Demands of Refereeing Rugby Sevens Matches at Different Competitive Levels.

Sant'Anna, RT, Roberts, SP, Moore, LJ, and Stokes, KA. Physical demands of refereeing rugby sevens matches at different competitive levels. J Strength Cond Res 35(11): 3164-3169, 2021-The aim of this study was to compare the physical demands of officiating across different competitive levels in rugby sevens. An observational design was used involving 27 referees (26 men and 1 woman, age: 27 ± 6 years, body mass [mean ± SD]: 78.5 ± 9.3 kg, and height: 179 ± 5 cm). Global Navigation Satellite Systems data were collected across a total of 114 matches during 5 separate rugby sevens tournaments played in England-between May and July 2018-categorized into 4 competitive levels: (a) international, (b) professional, (c) semiprofessional, and (d) amateur. Compared with referees officiating at the international, professional, and semiprofessional levels, referees officiating at the amateur level covered less total (p < 0.001) and relative distance (p < 0.001). In addition, these referees covered more distance walking and jogging (p < 0.001). Amateur referees also completed fewer sprints (p = 0.006), repeated high-intensity efforts (RHIEs) per game (p < 0.001), and spent longer between RHIEs (p = 0.015). Finally, for the amateur referees, the duration of the longest repeated high-intensity bout (i.e., worst case scenario) was lower (p < 0.001), with less distance covered (p < 0.001) and fewer high-intensity accelerations (p < 0.001). Refereeing rugby sevens is therefore more physically demanding at higher competitive levels, particularly in terms of high-intensity efforts. The results provide vital information for practitioners involved in the physical preparation of rugby sevens referees.

FLUCTUATIONS IN HEART RATE RESPONSE AND EXTERNAL DEMANDS RELATIVE TO GAME PERIOD IN RECREATIONAL FOOTBALL

This study aimed to investigate fluctuations in external demands and heart rate (HR) response across two game periods (half-times) in recreational football players. Eighteen recreationally active, male college students (goalkeepers: n = 2; outfield players: n = 16; age: 20.9 ± 1.5 yr; height: 179.4 ± 5.0 cm; body mass: 76.9 ± 8.1 kg; fat mass: 15.3 ± 5.5%) participated in this study. Two sessions were used to administer 4-a-side small-side games (SSG). Differences in activity demands and HR response were analyzed using a paired sample t-test. The magnitude of the differences in each dependent variable was quantified with effect size (ES) analyses and interpreted as: trivial, &lt;0.2; small, 0.2–0.59; moderate, 0.6–1.19; large, 1.2–1.99; very large, &gt;2. An ES analysis showed, small to moderate, significant decreases in distance covered at 0-6.00 km·h-1 (ES = -0.54, small), 6.01-12.00 km·h-1 (ES = -0.99, moderate), 12.01-18.00 km·h-1(ES = -0.66, moderate), &gt;24 km·h-1 (ES = -0.72, moderate), total distance (ES = -0.91, moderate) and high-intensity accelerations (ES = -0.60, moderate) during the second rather than the first half. In addition, unclear significant decreases in HRmean, and percentage of time spent working 81-90% HRmax were observed across two game periods. Our findings indicate game-related fatigue, whereby players demonstrated a consistent HR response across two game periods despite diminutions in activity demands during the second half. Similarities in HR response across two game periods might be due to the lower physical fitness of recreational players, eliciting slower HR recovery.

Evaluation of the Official Match External Load in Soccer Players With Cerebral Palsy.

Yanci, J, Castillo, D, Iturricastillo, A, and Reina, R. Evaluation of the official match external load in soccer players with cerebral palsy. J Strength Cond Res 33(3): 866-873, 2019-The aims of this study were to analyze the official match external loads (i.e., total distance, distance covered at different speeds, accelerations, decelerations, player load [PL], peak metabolic power, and changes of direction [CODs]) of football players with cerebral palsy (CP) and to determine the external loads according to playing time (i.e., <20, 20-40, and >40 minutes). The external load of 31 international football players with CP (23.0 ± 6.6 years; 69.1 ± 9.0 kg; 174.8 ± 7.3 cm) was analyzed during a World Championship Qualification Tournament (n = 8 matches, 58 individual observations). Results showed that the football players with CP covered less distance at high-intensity running and sprinting, performing a smaller number of moderate and high-intensity accelerations and decelerations, had a lower PL, and performed fewer CODs in official matches compared with conventional football players as reported in other studies. The number of minutes played by the players (i.e., <20, 20-40, and >40 minutes) could significantly influence the players' match external load (effect size = 0.3-5.5, small to extremely large). The impairments presented by football players with CP affect players' match external loads, especially in short-term high-intensity neuromuscular actions.

Repeated High-Intensity Effort Activity in International Male Rugby Sevens.

Couderc, A, Gabbett, TJ, Piscione, J, Robineau, J, Peeters, A, Igarza, G, Thomas, C, Hanon, C, and Lacome, M. Repeated high-intensity effort activity in international male Rugby Sevens. J Strength Cond Res 35(6): 1720-1726, 2023-Rugby Sevens is characterized by repeated high-intensity accelerations, sprinting, and collisions, commonly referred to as repeated high-intensity effort (RHIE) activity. Although repeated acceleration and sprinting activity of Rugby Sevens has been investigated, to date, no study has investigated the repeated running and collision activity of international Rugby Sevens during competitive events. In this study, 15 elite players competed in 44 matches during the HSBC World Sevens Series. Global positioning systems and match analysis software were used to quantify the frequency of repeated running and collision efforts. High acceleration (≥2.5 m·s -2 ), high speed (above maximal aerobic speed), sprint (above 85% of maximal sprint speed), and collision efforts (tackles, ruck, and contact) were considered as high-intensity effort activities. An RHIE bout was defined as 3 or more high-intensity efforts with less than 21 seconds recovery between efforts. The difference between positional groups (forward and backs) and first and second halves was compared using magnitude-based inferential statistics. One hundred twelve individual match observations were analyzed. On average, players performed 27 high-intensity effort events across the game. The distribution of high-intensity efforts included the following: 37% collisions, 34% accelerations, 27.5% high-velocity running, and 1.5% sprints. An average of 3.7 RHIE bouts was performed per player. The difference in high-intensity efforts and number of RHIE bouts performed were trivial/small when compared between first and second halves, and between forward and back positional groups. Repeated high-intensity effort bouts play an important role in the activity profile of elite Rugby Sevens players. This study could provide a framework for performance analysts and coaches to analyze match-related performance of elite Rugby Sevens players, taking into account both the high-intensity running and collision components of the game. Coaches should implement training interventions to ensure the maintenance of RHIE performance during competitive events.

Positional demands for various-sided games with goalkeepers according to the most demanding passages of match play in football.

The main aim was to determine the differences between four training games and competitive matches (CM) according to position and compared to the most demanding passages (MDP) of competitive match play. Global Positioning System data were obtained from 21 football players belonging to the reserve squad of a Spanish La Liga club during the 2015/16 season. The training games were small-sided games (SSGs) with 5 and 6 and large-sided games with 9 and 10 outfield players per team. The players were categorized based on positional groups: full back (FB), central defender (CD), midfielder (MF), offensive midfielder (OMF), and forward (FW). The variables recorded were the distance covered (DIS), DIS at high speed (HSR; >19.8 km·h-1), DIS at sprint (SPR; >25.2 km·h-1), high metabolic load distance (HMLD; >25.5 W·kg-1) all in m·min-1, average metabolic power (AMP; W·kg-1) and number of high-intensity accelerations (ACC; >3 m·s-2) and decelerations (DEC; <-3 m·s-2), both in n·min-1. The MDP was analysed using a rolling average method for AMP as a criterion variable, where maximal values were calculated for time windows of 5 and 10 minutes of CM and after that compared with the training game formats. As the SSG format increases, all the rest of the variables increase and the number of cases with significant interposition differences also increases (effect size [ES]: DIS: 0.7-2.2; HSR: 0.7-2.1; SPR: 0.8-1.4; HMLD: 0.9-2.0; AMP: 0.8-1.9; ACC: 0.8-1.7; DEC: 0.5-1.7). The large-sided game 10v10 + 2 goalkeepers over-stimulates sprint values relative to MDP (all: 121.0% of MDP, ES=0.5-1.8). This study provides useful information for coaching staff on the heightened impact of different training game formats on physical load, considering positional differences in relation to the MDP of competitive match play.