Relationship between physical metrics and game success with elite rugby sevens players

The Quantification of Acceleration Events in Elite Team Sport: a Systematic Review

“…Distance attained in respective threshold band. Bayliff et al [ 41 ] American Football GPS Catapult Sports Optimeye S5 10 Hz N/S N/S Acc Dec N/S N/S Band 1: 0–1 Band 2: 1–2 Band 3: 2–3 Band 4: 3–10 Distance (m) Metres attained in respective threshold band Blair et al [ 42 ] Rugby Sevens GPS GPSports SPI Pro 10 10 Hz N/S N/S Acc Dec N/S N/S Low: 1.5–2.5 High: > 2.5-3.6 Counts (n) Efforts in respective threshold band Bowen et al [ 43 ] Soccer GPS Optical STATSports ChyronHego Viper 2 TRACAB 10 Hz N/S N/S Acc Dec N/S 0.5 s All: > 0.5 Counts (n) Efforts in respective threshold band lasting at least 0.5 s and > 0.5 m s −2 Bradley et al [ 44 ] Soccer Optical ProZone Sports ProZone Version 3.0 N/A N/A N/A Acc N/S N/S Medium: > 2.5-4 High: > 4 Counts (n) Efforts in respective threshold band Brooks et al [ 45 ] Netball LPS Catapult Sports Catapult T6 ClearSky 10 Hz N/A N/A Acc Dec N/S 0.2 s …”

“…[ 7 , 13 , 17 , 34 , 36 – 40 , 42 – 44 , 47 – 50 , 52 , 54 , 55 , 57 , 59 , 60 , 62 , 64 – 66 , 69 – 72 , 76 – 80 , 88 – 90 , 92 , 94 – 99 , 101 – 103 , 105 – 113 , 116 , 117 , 119 , 120 , 122 – 124 , 126 – 128 , 136 – 141 , 144 – 148 ]…”

“…For example, Bauer et al [ 40 ] presented external acceleration load using count thresholds of 0–2.77 m s − 2 (low) and > 2.78 m s − 2 (high). Similarly, Blair et al [ 42 ] specified low acceleration counts at 1.5–2.5 m s − 2 and high counts at > 2.5 m s − 2 . Whilst it is logical to define a lower and upper threshold for each band, counts are also influenced by the level of error in the wearable technology device [ 7 , 26 ].…”

Development and Initial Validation of an Acute Readiness Monitoring Scale in Military Personnel

“…Without access to suitable network connectivity or local information processing capabilities, the raw information gathered by these devices is often uninterpretable by the user, and over extended periods may simply be deleted or become outdated before it is uploaded. There are also reported occasions where a user’s own perceptions and performance differ substantially from the interpretation offered by wearables, such as athletes being removed from competition despite feeling good and performing well ( Blair et al, 2017 ; Coyne et al, 2018 ). For these reasons, coupled with the inability of wearables to evaluate all dimensions of readiness (for example skills/training, team-functioning an equipment), a “low-tech” psychometric instrument may be beneficial at least to complement wearable technology: both to compensate in instances when conditions limit the effectiveness of the wearable, and also in facilitating better alignment between subjective perceptions and objectively measured data.…”

Análisis de las demandas de Sprint en competición por puestos específicos en el rugby 7 femenino (Analysis of the Sprint demands during competition by playing positions in women’s rugby 7)

“…Las condiciones de la competición, con siete jugadores en el mismo espacio de juego que en rugby 15, demanda a los jugadores una intensidad muy alta en sus acciones y la repetición de esfuerzos a alta intensidad, alternados con cortos periodos de recuperación (Meir, 2012). La carrera de alta velocidad es transcendental en el rugby 7 (Blair et al, 2017), tanto en fases defensivas (Barkell et al, 2017) como en fases de ataque (Wheeler & Sayers, 2011); así como también en el momento de la evasión de un placaje (den Hollander et al, 2016) y la consecución de un ensayo (Smart et al, 2014). En fútbol masculino, (Al Haddad et al, 2015) se ha estimado la diferencia entre la velocidad máxima de los jugadores y la velocidad máxima alcanzada en competición, a modo de indicador de si los valores máximos de esta capacidad pueden tener un efecto sobre el rendimiento en el juego, o si la dinámica del mismo permite al jugador expresar sus valores máximos de carrera.…”