Motion characteristics of division I college field hockey: Female Athletes in Motion (FAiM) study.

PURPOSE To examine locomotor demands and metabolic-power characteristics of National Collegiate Athletic Association (NCAA) field hockey matches. METHODS Using a cross-sectional design, global positioning system (GPS) technology tracked Division I field hockey players from 6 teams during 1 regular-season match (68 player observations). An ANOVA compared locomotor demands and metabolic-power characteristics among positions. Paired t tests compared dependent variables between halves. RESULTS Defenders played 5-6 min more than midfielders, whereas midfielders played 6-7 min more than forwards. Defenders covered less relative distance (98 m/min) than forwards and midfielders (110-111 m/min), as well as more low-intensity running than forwards and less high-intensity running than midfielders. Lower mean metabolic power (9.3 W/kg) was observed for defenders than forwards and midfielders (10.4 W/kg). There was no difference in playing time between halves; however, all 3 positions had a reduction in relative distance (7-9%) and mean metabolic power (8-9%) during the second half. CONCLUSIONS Despite more playing time, defenders covered less relative distance and had lower mean metabolic power than other positions. Moderate-intensity, high-intensity, and sprint distance were similar between positions, highlighting the greater relative demands on forwards because they tended to have the least amount of playing time. The reduction of key metrics during the second half was similar among positions and warrants further investigation. These initial results can be used to design position-specific drills or create small-sided games that replicate match demands for NCAA athletes, thus helping establish strategies for developing physiological ability of players at this level.

[1]  P. Krustrup,et al.  The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches , 2011, Journal of sports sciences.

[2]  Timothy D Noakes,et al.  Match running performance fluctuations in elite soccer: Indicative of fatigue, pacing or situational influences? , 2013, Journal of sports sciences.

[3]  P. Gaudino,et al.  Systematic Bias between Running Speed and Metabolic Power Data in Elite Soccer Players: Influence of Drill Type , 2013, International Journal of Sports Medicine.

[4]  G Atkinson,et al.  Monitoring Training in Elite Soccer Players: Systematic Bias between Running Speed and Metabolic Power Data , 2013, International Journal of Sports Medicine.

[5]  Ermanno Rampinini,et al.  Metabolic power and energetic costs of professional Australian Football match-play. , 2015, Journal of science and medicine in sport.

[6]  Stuart J. Cormack,et al.  The validity and reliability of GPS units for measuring distance in team sport specific running patterns. , 2010, International journal of sports physiology and performance.

[7]  Aaron J Coutts,et al.  International Field Hockey Players Perform More High-Speed Running Than National-Level Counterparts , 2012, Journal of strength and conditioning research.

[8]  Mark Waldron,et al.  Fatigue and Pacing in High-Intensity Intermittent Team Sport: An Update , 2014, Sports Medicine.

[9]  T H Witte,et al.  Accuracy of non-differential GPS for the determination of speed over ground. , 2004, Journal of biomechanics.

[10]  Jason D Vescovi,et al.  Sprint speed characteristics of high-level American female soccer players: Female Athletes in Motion (FAiM) study. , 2012, Journal of science and medicine in sport.

[11]  Mark Waldron,et al.  Concurrent validity and test–retest reliability of a global positioning system (GPS) and timing gates to assess sprint performance variables , 2011, Journal of sports sciences.

[12]  Ermanno Rampinini,et al.  Metabolic power demands of rugby league match play. , 2015, International journal of sports physiology and performance.

[13]  Tim J Gabbett,et al.  GPS Analysis of Elite Women's Field Hockey Training and Competition , 2010, Journal of strength and conditioning research.

[14]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[15]  U. Boutellier,et al.  Resynthesis of muscle glycogen after soccer specific performance examined by 13C-magnetic resonance spectroscopy in elite players , 2001, European Journal of Applied Physiology.

[16]  Christopher Carling,et al.  Interpreting Physical Performance in Professional Soccer Match-Play: Should We be More Pragmatic in Our Approach? , 2013, Sports Medicine.

[17]  J. Castellano,et al.  Contextual Variables and Time-Motion Analysis in Soccer , 2011, International journal of sports medicine.

[18]  Caroline Sunderland,et al.  Time-motion analysis of elite women’s field hockey, with particular reference to maximum intensity movement patterns , 2007 .

[19]  A. Gray,et al.  Validity and reliability of GPS for measuring distance travelled in field-based team sports , 2010, Journal of sports sciences.

[20]  J. Vescovi Motion Characteristics of Youth Women Soccer Matches: Female Athletes in Motion (FAiM) Study , 2013, International Journal of Sports Medicine.

[21]  Marc Portus,et al.  Validity and reliability of GPS units to monitor cricket-specific movement patterns. , 2009, International journal of sports physiology and performance.

[22]  Riccardo Bernardini,et al.  Energy cost and metabolic power in elite soccer: a new match analysis approach. , 2010, Medicine and science in sports and exercise.

[23]  S. Marshall,et al.  Progressive statistics for studies in sports medicine and exercise science. , 2009, Medicine and science in sports and exercise.

[24]  Caroline Sunderland,et al.  The use of GPS to evaluate activity profiles of elite women hockey players during match-play , 2011, Journal of sports sciences.

[25]  Jason D Vescovi,et al.  Sprint profile of professional female soccer players during competitive matches: Female Athletes in Motion (FAiM) study , 2012, Journal of sports sciences.

[26]  J. Vescovi Impact of maximum speed on sprint performance during high-level youth female field hockey matches: female athletes in motion (FAiM) study. , 2014, International journal of sports physiology and performance.