Team performance indicators that predict match outcome and points difference in professional rugby league

Performance indicators allow for the objective quantification of performance, however, limited PI research for professional rugby league exists. Therefore, this paper assessed 24 relative PIs (home value minus away) from all 27 rounds of the 2012, 2013 and 2014 European Super League seasons, collected by Opta, amounting to 567 matches. Backwards logistic (match outcome) and linear (points difference) regression models were used alongside exhaustive Chi-Square Automatic Interaction Detection decision trees to identify performance indicators (PIs) and key performance indicators. Teams had a higher chance of winning and would gain more points when they scored first (OR = 1.6, β = 2.4) and increased completed sets (OR = 1.2, β = 1.2) by one unit. Conversely, teams had a lower chance of winning when they increased scoots (OR = 0.9, β = −0.2). However, some PIs which were thought to be important (as identified by previous literature) were removed from the analysis thus calling into question the appropriateness of stepwise methods. Future research may consider utilising dimension reduction techniques when analysing large data-sets that encompass multiple variables

Efecto de un calendario sobrecargado de partidos sobre el rendimiento físico en el fútbol de élite

El objetivo de este trabajo consiste en analizar el impacto de disputar una alta carga de minutos de competición a lo largo de una temporada sobre el rendimiento físico en el fútbol de elite. La distancia recorrida a distintas velocidades y el porcentaje de tiempo realizando actividades de alta intensidad por 68 jugadores que disputaron la Copa Mundial de Brasil 2014 de la FIFA fueron analizados. Un análisis de cluster clasificó a los jugadoresen tres grupos dependiendo del número de minutos disputados a lo largo de la temporada: alta, media y baja carga de competición. El marcador, el nivel del oponente y el puesto específico de los jugadores se incorporaron en el análisis como variables de control. Los datos fueron analizados mediante de un análisis de regresión lineal. En general, los resultados sugieren que jugar una alta carga de minutos de competición durante la temporada no afecta negativamente al rendimiento físico de los jugadores. Los mediocentros recorrieron una distancia total y a alta intensidad mayor que el resto de puestos específicos (p<0,01), mientras que los defensas centrales cubrieron una distancia significativamente menor que el resto de posiciones (p<0,01). Tener el marcador a favor o en contra y la fortaleza o debilidad del oponente no modificó significativamente el rendimiento físico de los jugadores. Estos resultados podrían ser utilizados por entrenadores y analistas para mejorar el diseño de tareas y la evaluación del rendimiento de los equipos y de los jugadores

Influence of contextual variables on styles of play in soccer

The aim of the present study was to evaluate the effect of match status, venue, and quality of opposition on the styles of play in soccer. Data were collected from 380 games of the English Premier League from the 2015–2016 season. Linear mixed models were applied to evaluate the influence of these contextual variables on membership scores for Direct Play, Counterattack, Maintenance, Build Up, Sustained Threat, Fast Tempo, Crossing, and High Pressure. The results showed that match status had a significant effect on the eight styles of play (all P < 0.001), venue had a significant effect on all styles of play (P < 0.01) except Counterattack and Maintenance, and quality of opposition had a significant effect on all styles of play (P < 0.05) except Counterattack. Moreover, the interaction between match status and quality of opposition, and venue and quality of opposition showed significant effects on some styles of play. The results of this study imply that contextual variables influence the use of styles of play in soccer match play. Consequently, this provides meaningful recommendations for practitioners in soccer

Comparative analysis of the top six and bottom six teams’ corner kick strategies in the 2015/2016 English Premier League

This study compared the corner kick strategies employed by the top six and bottom six teams across 120 matches of the 2015/2016 English Premier League Season. In total, 2,303 corner kicks were examined by univariate analyses individual χ2 and bivariate analyses with contingency tables (χ2 and association measures). Top six teams favoured an outswinging delivery, whilst the bottom six teams favoured inswinging deliveries (p < 0.001). Top six teams operated a dynamic attacking organisation during ball deliveries, (p < 0.001), whereas the bottom six operated static and dynamic attacking strategies in equal measure. Top six teams took corner kicks frequently when winning or drawing, whereas bottom six teams took most corner kicks when losing or drawing (match status, p < 0.001). Bivariate analyses identified that goals were scored from corner kicks when attacking organisation was dynamic, two defenders were on the posts and the score line was level (p < 0.05). Results supplement the design of practice tasks that afford successful corner kicks in training and game play scenarios

Interpreting physical performance in professional soccer match-play: Should we be more pragmatic in our approach?

Academic and practitioner interest in the physical performance of male professional soccer players in the competition setting determined via time-motion analyses has grown substantially over the last four decades leading to a substantial body of published research and aiding development of a more systematic evidence-based framework for physical conditioning. Findings have forcibly shaped contemporary opinions in the sport with researchers and practitioners frequently emphasising the important role that physical performance plays in match outcomes. Time-motion analyses have also influenced practice as player conditioning programmes can be tailored according to the different physical demands identified across individual playing positions. Yet despite a more systematic approach to physical conditioning, data indicate that even at the very highest standards of competition, the contemporary player is still susceptible to transient and end-game fatigue. Over the course of this article, the author suggests that a more pragmatic approach to interpreting the current body of time-motion analysis data and its application in the practical setting is nevertheless required. Examples of this are addressed using findings in the literature to examine: a) the association between competitive physical performance and ‘success’ in professional soccer, b) current approaches to interpreting differences in time-motion analysis data across playing positions and, c) whether data can realistically be used to demonstrate the occurrence of fatigue in match-play. Gaps in the current literature and directions for future research are also identified

Position-specific Performance Indicators that Discriminate between Successful and Unsuccessful Teams in Elite Women’s Indoor Field Hockey: Implications for Coaching

The aim of this investigation was to establish median performance profiles for the six playing positions in elite women’s indoor hockey and then identify whether these position-specific profiles could discriminate between qualifying (top four), mid-table and relegated teams in the 2011-12 England Hockey premier league. Successful passing in relegated teams was significantly lower (p<0.008) than in mid-table and qualifying teams in four of the five outfield positions. Furthermore, the right backs of qualifying teams demonstrated significantly fewer (p<0.008) unsuccessful passes (x̃=15.5 ±CLs 15.0 and 10.0 respectively) and interceptions (x̃=4.0 ±CLs 4.0 and 3.0 respectively) than relegated teams (x̃=19.5 ±CLs 21.0 and 17.0; x̃=7.5 ±CLs 8.0 and 6.0 respectively). Finally, the right forwards of relegated teams demonstrated significantly fewer (p<0.008) successful interceptions (x̃=4.0 ±CLs 5.0 and 4.0 respectively) than qualifying teams (x̃=5.0 ±CLs 6.0 and 3.0 respectively) and significantly more (p<0.008) unsuccessful interceptions (x̃=5.5 ±CLs 6.0 and 4.0 respectively) than mid-table teams (x̃=3.0 ±CLs 3.0 and 2.0 respectively). Based on these findings, coaches should adapt tactical strategies and personnel deployment accordingly to enhance the likelihood of preparing a qualifying team. Research should build from these data to examine dribbling, pressing and patterns of play when outletting

Variations of training load, monotony, and strain and dose-response relationships with maximal aerobic speed, maximal oxygen uptake, and isokinetic strength in professional soccer players

This study aimed to identify variations in weekly training load, training monotony, and training strain across a 10-week period (during both, pre- and in-season phases); and to analyze the dose-response relationships between training markers and maximal aerobic speed (MAS), maximal oxygen uptake, and isokinetic strength. Twenty-seven professional soccer players (24.9±3.5 years old) were monitored across the 10-week period using global positioning system units. Players were also tested for maximal aerobic speed, maximal oxygen uptake, and isokinetic strength before and after 10 weeks of training. Large positive correlations were found between sum of training load and extension peak torque in the right lower limb (r = 0.57, 90%CI[0.15;0.82]) and the ratio agonist/antagonist in the right lower limb (r = 0.51, [0.06;0.78]). It was observed that loading measures fluctuated across the period of the study and that the load was meaningfully associated with changes in the fitness status of players. However, those magnitudes of correlations were small-to-large, suggesting that variations in fitness level cannot be exclusively explained by the accumulated load and loading profile