Purpose: To (1) compare the locomotor and heart rate responses between floaters and regular players during both small and large small-sided games (SSGs) and (2) examine whether the type of game (ie, game simulation [GS] vs possession game [PO]) affects the magnitude of the difference between floaters and regular players. Methods: Data were collected in 41 players belonging to an elite French football team during 3 consecutive seasons (2014–2017). A 5-Hz global positionning system was used to collect all training data, with the Athletic Data Innovation analyzer (v5.4.1.514) used to derive total distance (m), high-speed distance (>14.4 km·h−1, m), and external mechanical load (MechL, a.u.). All SSGs included exclusively 1 floater and were divided into 2 main categories, according to the participation of goalkeepers (GS) or not (PO) and then further divided into small and large (>100 m2per player) SSGs based on the area per player ratio. Results: Locomotor activity and MechL performed were likely-to-most likely lower (moderate to large magnitude) in floaters compared with regular players, whereas differences in heart rate responses were unclear to possibly higher (small) in floaters. The magnitude of the difference in locomotor activity and MechL between floaters and regular players was substantially greater during GS compared with PO. Conclusions: Compared with regular players, floaters present decreased external load (both locomotor and MechL) despite unclear to possibly slightly higher heart rate responses during SSGs. Moreover, the responses of floaters compared with regular players are not consistent across different sizes of SSGs, with greater differences during GS than PO.
Search Results
Locomotor and Heart Rate Responses of Floaters During Small-Sided Games in Elite Soccer Players: Effect of Pitch Size and Inclusion of Goalkeepers
Mathieu Lacome, Ben M. Simpson, Yannick Cholley, and Martin Buchheit
The Inclusion of Sprints in Low-Intensity Sessions During the Transition Period of Elite Cyclists Improves Endurance Performance 6 Weeks Into the Subsequent Preparatory Period
Madison Taylor, Nicki Almquist, Bent Rønnestad, Arnt Erik Tjønna, Morten Kristoffersen, Matt Spencer, Øyvind Sandbakk, and Knut Skovereng
performance leading up to the next competitive period. 1 Maintaining endurance performance during the transition period has previously been argued as crucial for elite cyclists to be able to improve competition performance later in the season. 7 Rønnestad et al 8 showed that the inclusion of a weekly high
The Inclusion of Preplanned and Random and Unanticipated/Unexpected Events During Strength Training Improves the Ability to Repeat High-Intensity Efforts Under Uncertainty
Oliver Gonzalo-Skok, Julio Tous-Fajardo, Sergio Maroto-Izquierdo, Javier Raya-González, and Javier Sánchez-Sánchez
training groups compared to CON in RSA-RANDOM mean and worse were obtained. As no similar studies have been previously developed, comparisons are not possible. However, the inclusion of unknown loads during strength training has been shown to increase muscle preactivation and subsequent force production
The Effect of Periodization and Training Intensity Distribution on Middle- and Long-Distance Running Performance: A Systematic Review
Mark Kenneally, Arturo Casado, and Jordan Santos-Concejero
: “training intensity distribution running,” “periodisation running,” “training intensity distribution endurance,” “periodisation endurance,” “polarised training running,” “pyramidal training running,” and “threshold training running.” No additional filters or search limitations were used. Inclusion Criteria
Caffeine and Physiological Responses to Submaximal Exercise: A Meta-Analysis
Mark Glaister and Conor Gissane
following words in the title or the abstract: “endurance,” “submaximal,” “aerobic,” “steady state,” “exhaustion”, or “fixed intensity.” Reference lists of those studies that passed the initial screening for potential inclusion in the analysis along with those from relevant review articles 4 , 27 , 28 – 35
Strength Training for Middle- and Long-Distance Performance: A Meta-Analysis
Nicolas Berryman, Iñigo Mujika, Denis Arvisais, Marie Roubeix, Carl Binet, and Laurent Bosquet
obtain further studies not identified electronically. Selection Criteria Studies were eligible for inclusion if they implemented a strength-training intervention in addition to a sport-specific aerobic-training regimen; the outcome included tests and measures of performance, muscle fitness, and aerobic
Quantifying Cricket Fast-Bowling Skill
Simon A. Feros, Warren B. Young, and Brendan J. O’Brien
. Studies were selected based on the following inclusion criteria: (1) bowling speed and accuracy were measured and reported in the fast-bowling assessment, (2) the assessment of skill was conducted on fast bowlers only, irrespective of playing level, (3) the full text of the investigation was available in
An Integrated, Multifactorial Approach to Periodization for Optimal Performance in Individual and Team Sports
Iñigo Mujika, Shona Halson, Louise M. Burke, Gloria Balagué, and Damian Farrow
methodology. 5 Recent criticism also came from a comprehensive review on the conceptual and methodological issues surrounding empirical research on training periodization. 68 Only 42 randomized or randomized controlled trials were identified that met stringent inclusion and exclusion criteria. Problems
Core Temperature Responses to Cold-Water Immersion Recovery: A Pooled-Data Analysis
Jessica M. Stephens, Ken Sharpe, Christopher Gore, Joanna Miller, Gary J. Slater, Nathan Versey, Jeremiah Peiffer, Rob Duffield, Geoffrey M. Minett, David Crampton, Alan Dunne, Christopher D. Askew, and Shona L. Halson
collated from 13 previous studies by our groups for inclusion in this pooled analysis (Table 1 ). Criteria for inclusion were: (1) use of a cross-over controlled design, (2) included seated passive CON condition, (3) CWI performed postexercise, (4) measured T c by rectal thermistor or telemetric pill
Injury Patterns, Physiological Profile, and Performance in University Rugby Union
Shane Ball, Mark Halaki, Tristan Sharp, and Rhonda Orr
injuries that occurred to the same subject at the same time were included independently. Injuries to subjects who had not returned to play by the completion of the season were excluded from severity analysis. The threshold P value for inclusion was P < .05. Effect sizes (ES) were calculated with the
