Development of a player impact ranking matrix in Super 14 rugby union

Lim, E.F.H.; Lay, Brendan; Dawson, Brian; Wallman, Karen; Aanderson, Scott

doi:10.1080/24748668.2009.11868492

Cited by 14 publications

(16 citation statements)

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“…The scrum-half and out-half positions were chosen in order to demonstrate the potential of this system to identify the efficacy of the starting and substitute players. As previously identified by Lim et al (2009), both these positions have a major game involvement. Other positions, for example the wings, would have less game involvement, and therefore be less effective in demonstrating this method of assessing player efficacy.…”

Section: Limitations and De-limitationsmentioning

confidence: 57%

“…It is important to note that the ability of the half-backs to influence the game through their use of possession will be heavily influenced by the amount and quality of possession that the half-backs receive from their forwards. Lim et al (2009) constructed a player impact matrix for rugby and analysed individual player involvement of all rugby positions over three seasons. It was found that the scrum-half (13%), out-half (28%) and back-row forwards (16%) had the most net game involvement as a percentage of team total, confirming the findings of James et al (2005).…”

Section: Nonementioning

confidence: 99%

“…Therefore, examining these individual positions in greater detail gives a better understanding of how they affect team performance. A player match impact (or efficacy) weighting, similar to that devised by Lim et al (2009) is a key aspect of this study. Villarejo et al (2015) used performance indicators to measure the characteristics of player performance by position in winning and losing teams.…”

Section: Nonementioning

confidence: 99%

“…They found that the scrum-half on a winning team was responsible for significantly more kicks, metres gained per kick and try assists. This study grouped the out-half with the centre positions, as opposed to the study by Lim et al (2009) who considered the positions individually, restricting the ability to compare data between them. The large number of games analysed by Villarejo et al (2015), whilst providing greater data stability, may also obscure important data due to a number of mismatches during that tournament.…”

Section: Nonementioning

confidence: 99%

“…The operational definitions used were adapted from the study conducted by Lim et al (2009). Since the Lim et al paper was published in 2009, changes were made to take into account the evolution of current tactics, for example a 'contestable kick' category was included to reflect the current importance of this action.…”

Section: Operational Definitions and Player Efficacy Ratingsmentioning

confidence: 99%

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Profiling half-back play in rugby union and the impact of substitutions

Hughes

Smyth

2018

jhse

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An exploratory method of quantifying the impact of individual players in rugby union was developed and applied to both half-back positions in 2015 Rugby World Cup matches with a view to firstly test the validity of these systems by profiling players, and secondly, if successful, to assess the impact of substitutions. A match impact scoring system was devised using questionnaire responses of an expert group of professional rugby analysts and experienced international coaches. The scoring system weighted each game action in a positive or negative manner according to the impact on team performance. It was found that the proposed method produced valid and reliable data concerning player performance. It was applied to half-backs substituted with more than 20 mins playing time left, the two 20 min period, before and after substitution, were compared. A "non-substituted" control group were also analysed, in both the first and final 20 minutes of competition. It was found that for the scrum-half position, the starting players produced a higher median 'efficacy' score than replacement players 27.46, (std. dev. +10.06) and 20.42, (+12.45). The best performing scrum-half group were the 60-80-minute non-replaced players 29 (+9.0). For the out-half position, it was found that the highest median 'efficacy' was achieved by the replacement player group 18.80, (+ 11.00), with the non-replaced 60-80-minute group performing worst 14.40, (+ 7.09). Future research should develop the methods applied in this study to define player profiles for each position on the rugby field. It is suggested that these profiles should use score difference between the teams to take into account the strength of the teams involved. The concept of a weighted individual player efficacy system has been demonstrated in the sport of rugby union, but could be applied in any team sport where greater individual player performance data is required.

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Section: Limitations and De-limitationsmentioning

confidence: 57%

Section: Nonementioning

confidence: 99%

Section: Nonementioning

confidence: 99%

Section: Nonementioning

confidence: 99%

Section: Operational Definitions and Player Efficacy Ratingsmentioning

confidence: 99%

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Profiling half-back play in rugby union and the impact of substitutions

Hughes

Smyth

2018

jhse

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Match Analysis and Player Characteristics in Rugby Sevens

2013

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Rugby sevens is a contact sport contested by two teams of seven players who compete over two 7-min halves, most frequently played in a tournament style. The IRB Sevens World Series is thought of as the preeminent rugby sevens competition in the world and has grown in competitiveness from its inception in 2000. The decision to include rugby sevens in the 2016 Olympics is likely to increase the global profile and participation in the game. Many rugby sevens players concurrently compete in 15-a-side rugby union as backs and loose forwards; however, a continued increase in the popularity of rugby sevens will likely see the emergence of the specialist rugby sevens player. Often thought of as the abbreviated version of rugby union, rugby sevens is played under nearly identical laws and on the same field dimensions as the 15-man code. However, research has shown the movement demands of rugby sevens and rugby union are dissimilar, with rugby sevens players spending a larger proportion of the game running at high intensity (≥ 5 m s(-1)). Given the dissimilarity in match demands in conjunction with differences in the competition structure between the codes, it appears the considerable depth of literature specific to performance in rugby union may be of little value for the preparation of rugby sevens players. Investigations of the physical characteristics of rugby sevens players show backs are lighter and shorter than forwards, while players across all positions possess a lean body composition. International rugby sevens players have similar speed characteristics to rugby union backs across distances of 10-30 m; however, rugby sevens players appear to have superior intermittent aerobic endurance. Despite being of likely importance, little is known of the strength and power characteristics of rugby sevens players. Research into the speed and aerobic endurance characteristics of rugby sevens players has not distinguished between backs and forwards and, as such, it is unclear whether differences exist between the position groups.

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Kinematic comparison of the preferred and non-preferred foot punt kick

Ball

2011

Journal of Sports Sciences

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Kicking with the non-preferred leg is important in Australian Football and becoming important in the rugby codes. The aim of this study was to examine differences between preferred and non-preferred leg kicking in the drop punt kick. Seventeen elite Australian Football players performed kicks with the preferred and non-preferred leg. Optotrak Certus collected kinematic data of the kick leg and pelvis (200 Hz) from kick leg toe-off until ball contact. Foot speed, knee and shank angular velocity at ball contact, and pelvis range of motion were significantly larger for the preferred leg (P < 0.05). In contrast, hip and thigh angular velocity at ball contact and hip range of motion were significantly larger for the non-preferred leg. This indicates different movement patterns, with preferred-leg kicks making greater use of the pelvis, knee, and shank while non-preferred leg kicks rely relatively more on the hip and thigh (P < 0.05). Reasons for this difference might be due to locking degrees of freedom or sub-optimal sequencing in the non-preferred leg. The thigh-knee continuum identified by Ball ( 2008 ) was also evident in this study. Findings have implications for training non-preferred leg kicking for performance and injury prevention.

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Development of a player impact ranking matrix in Super 14 rugby union

Cited by 14 publications

References 0 publications

Profiling half-back play in rugby union and the impact of substitutions

Profiling half-back play in rugby union and the impact of substitutions

Match Analysis and Player Characteristics in Rugby Sevens

Kinematic comparison of the preferred and non-preferred foot punt kick

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