South African Rugby Union Research Articles

Predictors of match performance in the South African Rugby Union Women's Premier Division

Purpose Performance indicators in women's rugby union are under-researched. The aim of this study was to describe the match activities and determine the predictors for winning/losing and points difference in the South African Rugby Union (SARU) Women's Premier Division competition. Methods During the 2021 and 2022 seasons, SARU-coded matches included 33 indicators (including attacking, defensive, set plays, and error categories) which were analysed for two outcome variables: winning/losing and points difference (points for MINUS points against). Results The results of the study showed that for winning compared to losing, tries (OR = 6.48; p = 0.0001), goal kicking success % (OR = 1.03; p = 0.0245), and dominant tackles % (OR = 1.45; p = 0.0333) increased the odds of winning, whilst yellow cards decreased the odds (OR = 0.27; p = 0.0199). For points difference, Factor 1 (OR = 1.016) including variables related to clean breaks, tries and conversions thereof, were predictive of a larger points difference, whilst Factor 6 (positive tackles, lineout wins; OR = 0.958) favoured a close match/smaller points difference. Conclusion The predictive indicators differed from those found in previous literature. However, there was little to no data available on women's rugby union to compare to, and therefore comparisons were made to men's rugby. More data and studies are required to confirm these findings.

Analysing the impact of the 50:22 kick law changes in South African rugby tournaments between 2021 and 2022

ABSTRACT Tactical kicking plays a crucial role in rugby union, influencing both attacking and defensive strategies and potentially impacting a team’s overall success. The introduction of the 50:22 law requires defensive teams to reposition players to anticipate and counter kicks, thereby reducing the number of players in their defensive front line. This study investigated the impact of the 50:22 kicking law on kicking profiles by comparing the 2021 and 2022 seasons, as well as examining the success rate of 50:22 kicks during the 2022 season in South African rugby union tournaments. A retrospective research design was employed, utilising video-based performance analysis software (Nacsport Scout Plus) for data collection. The analysis encompassed all general play kicks from 177 matches spanning two seasons and tournaments, amounting to a total of 6,479 kicks. Within this dataset, there were 53 successful 50:22 kicks out of 162 attempts. Key findings revealed an upswing in kicks by scrum halves (2021: 20%, 2022: 26%; p = 0.00) and a concurrent decline in kicks by fullbacks (2021: 21%, 2022: 18%; p = 0.01). Notably, there was a significant increase in the percentage of kicks occurring in the fourth quarter of the match (2021: 20%, 2022: 22%; p = 0.01). Furthermore, the study identified a noteworthy increase in the percentage of kicks following a turnover (2021: 2%, 2022: 3%; p < 0.01). In conclusion, this research contributes valuable insights into how the 50:22 law shapes kicking strategies in South African rugby union, shedding light on the shifts in player roles and temporal patterns of kicking within the context of this specific law.

Legal and illegal ruck cleanouts in South African non-professional youth rugby

The ruck area is responsible for the second-highest number of rugby union injuries, therefore it is necessary to investigate and understand the ruck better for improved player safety. The study aimed to investigate and compare incidents of legal and illegal ruck cleanouts in non-professional youth rugby. Using Nacpsort Scout Plus software, 118 South African Rugby Union under 18 Youth Week tournament matches were coded between 2015 and 2019. In total, 35,545 ruck cleanouts were coded, of which 32,641 (91.8%) were legal and 2904 (8.2%) were illegal. Of the 2904 illegal cleanouts, 2676 (92.2%) were deemed ‘not dangerous’ and 228 (7.8%) were considered ‘dangerous’. The ‘dangerous’ ruck cleanouts represented 0.6% of the total ruck cleanouts. Of the most common illegal ruck cleanouts, ‘not supporting own body weight’ were mostly ‘not dangerous’ (2498; 99.4%, p = 0.01); and all ‘neck rolls’ were considered ‘dangerous’ (147; 100.0%, p = 0.02). The findings of the study suggest player behaviour can still be improved, with regular participation in regular safe and effective technique training drills. The risk of injury during the ruck can further be influenced positively by coaches, through regular coaching and training on safe and effective ruck techniques.

The incidence and transmission of SARS-CoV-2 infection in South African professional rugby players - AWARE II

ObjectivesTo describe the incidence and transmission of SARS-CoV-2 infections in South African professional rugby union players in different phases of return-to-competition during a pandemic. DesignProspective cohort study. MethodsPlayers reported their history of SARS-CoV-2 infection before/during a national competition, using an online questionnaire (physician verified). Three periods of return to training/competition after a nation-wide complete lockdown during a pandemic were studied: 1) non-contact training, 2) contact training, 3) competition. The total period was 184 days (20/07/2020–20/01/2021) including 45 matches. Outcomes were: 1) incidence of SARS-CoV-2 infection (I: per 1000 player days; 95%CI) in each period (calculated using a Poisson distribution), 2) player symptoms, 3) median days to return-to-training following SARS-CoV-2 infection, 4) method of transmission, and 5) percentage matches cancelled due to SARS-CoV-2 infections. Results185 players had 42 physician verified positive SARS-CoV-2 infections (I = 1.23; 95%CI: 0.86–1.61). Incidences during the three periods were: non-contact training = 0, contact training (I = 1.04; 0.36–1.71; mostly forwards), and competition (I = 1.54; 1.00–2.10). 83 % of the infected players were symptomatic and 52 % of the 42 positive players had systemic symptoms. Median return-to-training was 14 days. 22 (52 %) SARS-CoV-2 infections were rugby-related: 13 off-field (31 %), 9 on-field (21 %). 11 % of matches were cancelled due to SARS-CoV-2 infections. ConclusionsAs contact in rugby was introduced back into the game following lockdowns there was an increasing incidence of SARS-CoV-2 infection. On-field rugby activities were responsible for 21 % of SARS-CoV-2 infections and 11 % of matches had to be cancelled, indicating the need for risk mitigation strategies.

Differences in visio-spatial expertise between 1st division rugby players and non-athletes

The present study aimed to compare the visual expertise of non-athletes (n = 40; 19–35 years old; age: 22.13 ± 2.37 years) to amateur, non-professional South-African Rugby Union (SARU) first-division club rugby players (n = 40; 19–35 years old; age: 23.88 ± 4.36 years; training age mean: 9.0 ± 1.5 years). Research suggests that athletes have enhanced visio-spatial expertise in comparison to non-athletes. However, conflicting research suggests that this is not always the case as non-athletes possess similar visio-spatial expertise in certain visual skills. Participants underwent an optometric assessment after which the following 6 visio-spatial intelligence (VSI) components were measured; accommodation facility, saccadic eye movement, speed of recognition, peripheral awareness, visual memory and hand-eye coordination using the following tests; hart near far rock, saccadic eye movement, evasion, accumulator, flash memory and ball wall toss tests. Results indicated that first-division rugby players performed significantly better (p ≤ 0.05) in five of the six tests performed, except for visual memory (p = 0.893). While this study substantiates the notion that athletes, in this case first-division rugby players, performs significantly better in most VSI components, this is not the case for all, as with visual memory in this study. To more accurately distinguish between athletes and non-athletes, research should move away from tests that focus on basic visual function and develop sport specific testing methods that can be used by a variety of sports.

Incompatibility as a Ground for Dismissal in Contemporary South African Law of Unfair Dismissal: A Review of Zeda Car Leasing and Other Recent Cases

Although incompatibility is not listed along with incapacity, misconduct, or operational requirements in s 188(1)(a) of the Labour Relations Act 66 of 1995 as a ground for dismissal, in practice, it has been likened to all these statutorily laid down grounds to justify dismissal and abundant case law abound to bear witness to this assertion. A cursory reading of the cases of Zeda Car Leasing (Pty) Ltd t/a Avis Fleet v Van Dyk [2020] ZALAC 4; Mgijima v MEC, Department of Education, Gauteng [2014] ZALCJHB 414; Edcon Ltd v Padayachee [2018] ZALCJHB 307 and Watson v South African Rugby Union (SARU) [2017] ZALCJHB 264 where incompatibility was approached respectively, from the prism of operational requirements; incapacity and misconduct; coupled with some recent cases discussed herein, clearly indicate that incompatibility has not only covered the field, it has also acquired a pride of place in contemporary South African law of unfair dismissal. Given these circumstances, the authors recommend the insertion into s 188(1)(a)(i) by way of an amendment such that the subsection will include a fair reason ‘related to the employee’s conduct, incapacity or ‘‘incompatibility’’ ’. This will definitely clear any lingering doubts surrounding the role of incompatibility and empower the arbitrator and the Labour Court to adjudicate with a level of clarity in the law of unfair dismissal.

Strength and conditioning practices of high school rugby coaches: A South African context

Although rugby union as a sport is well established, the strength and conditioning practices of high school level players are not well known. Therefore, the main purpose of this study was to examine the current strength and conditioning practices that coaches implement at South African high school level rugby. A secondary purpose was to compare practices between high schools of different socio-economic status in South Africa. An online survey or in person interview (depending on the school) was conducted and 43 responses were received: from 28 coaches at schools among the top 100 rugby schools in South Africa for 2016 and from 15 coaches at no-fee public schools in the Eastern Cape Province of South Africa. Most coaches (72%) performed some form of physical testing, with the most common parameter tested being ‘speed’. The most common strength and conditioning practices utilised included flexibility (stretching), speed (free sprinting), agility (cone drills), plyometric (box drills) and resistance (weight lifting) training. Unlike the no-fee schools, the top 100 rugby schools implemented conditioning practices similar to best-known international practices. Furthermore, no-fee school coaches did not have the qualifications necessary to administer the correct training techniques. Education and upskilling on the best strength and conditioning practices for school level coaches need to be improved, particularly in less privileged schools. Such improvement is crucial to the transformation goals set out by the South African Rugby Union, which would benefit from player development in lower socio-economic schools.&#x0D; Significance:&#x0D; &#x0D; The top 100 rugby playing schools in the country implement similar strength and conditioning practices to the best known international practices.&#x0D; Education of coaches is key to the implementation of correct strength and conditioning practices, specifically at underprivileged schools.&#x0D;

Teams with lower injury rates have greater success in the Currie Cup rugby union competition.

Professional football teams that rank high on the log at the end of the season generally have fewer injuries than teams that rank lower on the log. This highlights the importance of implementing injury prevention measures, not only to protect player welfare and ensure their longevity in the sport, but also to improve the performance of the team. The association between a low incidence of injury and superior performance during a season may be even more relevant in sports with a higher incidence of injury than football, such as rugby union. To examine this association in the South African Currie Cup rugby union competition, time-loss (≥ 1 day training/match play missed) injury data and final position in the competition was examined over five-seasons. Teams who ranked in 1st position had significantly lower average injury rates than teams who ranked in last position [48 injuries per 1 000 player hours (95% C.I 20 to 76) vs 130 injuries per 1 000 player hours (95% C.I 79 to 180)]. More specifically, the team with the lowest injury rate in each season ranked in 1st or 2nd position. This team performance aspect of injury prevention should be highlighted more. In particular, this should be used to assist with communicating the importance of injury prevention programmes to stakeholders directly involved with budgetary allocations in the team.

Personality profiling of South African rugby union players

This study aimed to investigate whether differences exist in the personality profiles of professional and semi-professional rugby union players. Participants were 73 male rugby players, 52 professional players and 21 semi-professional players. All participants completed the NEO Five-Factor Personality Inventory (NEO-FFI) as part of the WebNeuro Sport online assessment. An independent sample t-test showed a statistically significant difference in neuroticism between the professional and semi-professional players. The magnitude-based inference method confirmed the results of the independent sample t-test with a moderate effect. The potential practical value of these findings is that the Neuroticism scale of the Big Five personality dimensions can be used as a screening tool for indicating which players a team would want to recruit and invest time and money in since these players will most likely be capable of progressing to the top level in their sport.

Analysis of South African semi-elite rugby head coaches’ engagement with performance analysis

ABSTRACTThe introduction of performance analysis (PA) in rugby union presented coaches with a range of tools to support and enhance their coaching practices. This study aimed to investigate how PA was used by semi-professional South African rugby union coaches. Specific objectives were: to determine how PA contributed to coaching practices; to assess the extent to which PA was integrated into practice; how PA was valued by coaches and the role of the analyst in the process. A descriptive research design was followed and a questionnaire was used to gather data. Forty-six rugby coaches from provincial (n = 15), university (n = 15) and school (n = 16) levels participated, which constituted a response rate of 57%. The results indicated that, at all levels, most coaches (67%) completed technical PA themselves, although 48% had access to a PA to provide match analysis. Sixty-seven per cent had readily access to video footage, while 22% had infrequent access. Provincial coaches (93%) had more access to video footage compared to other levels (p = 0.004). Sixty-four per cent of the coaches indicated that their selection of key performance indicators is informed by their coaching philosophy. A key finding was that the majority of coaches valued PA and used it frequently in their coaching.

The tackle in South African youth rugby union – Gap between coaches' knowledge and training behaviour

In youth rugby union matches, tackle-related injuries account for 60% of all injuries, 62% of concussion injuries and almost 50% of spinal cord injuries (youth and amateur). Because of this high risk of injury, the inclusion of the tackle in youth rugby has been a topic of discussion in the public and a high priority research area for World Rugby. What a coach knows and his/her attitude toward player safety directly impacts the risk and performance profile of a player. The purpose of this study is to describe the tackle knowledge, attitudes and training behaviours of youth rugby coaches. The entire population of Western Province Rugby Union Premier A1 division (highest level of school rugby) under-19 rugby coaches (n = 8) completed a knowledge and attitude questionnaire and 96 field-training sessions were observed over four weeks. Coaches rated tackling (mean 3.9, 95% confidence interval 3.3–4.4), rucking (mean 3.8, 95% confidence interval 3.0–4.5) and ball-carrying (mean 3.6, 95% confidence interval 2.6–4.6) as high-risk of injury facets of play ( H = 30.8, p &lt; 0.001). Coaching proper technique was rated as very important for safety (mean 4.6, 95% confidence interval 4.2–5.0) and performance (mean 4.8, 95% confidence interval 4.4–5.0, U = 28, p &gt; 0.05). Of the 96 observed training sessions, tackle training was recorded 16% of the time (vs. 84% no tackle training, p &lt; 0.001). Coaches were aware of the risk of injury in the tackle and rated the coaching of proper technique of utmost importance. These positive knowledge and attitudes did not transfer into their tackle training. The discrepancy between coaches' tackle knowledge and attitudes, and their training of the tackle might be related to how competent they believe themselves to be in delivering tackle training.

Players’ and coaches’ knowledge and awareness of the BokSmart Safe Six injury prevention programme: an ecological cross-sectional questionnaire study

ObjectivesRugby has a high injury incidence and therefore BokSmart introduced the Safe Six injury prevention programme in 2014 in an attempt to decrease this incidence. In 2015, BokSmart used a...

Non-sanctioning of illegal tackles in South African youth community rugby

ObjectivesThe tackle event in rugby union (‘rugby’) contributes to the majority of players’ injuries. Referees can reduce this risk by sanctioning dangerous tackles. A study in elite adult rugby suggests that referees only sanction a minority of illegal tackles. The aim of this study was to assess if this finding was similar in youth community rugby. DesignObservational study. MethodsUsing EncodePro, 99 South African Rugby Union U18 Youth Week tournament matches were coded between 2011 and 2015. All tackles were coded by a researcher and an international referee to ensure that laws were interpreted correctly. The inter- and intra-rater reliabilities were 0.97–1.00. A regression analysis compared the non-sanctioned rates over time. ResultsIn total, 12 216 tackles were coded, of which less than 1% (n=113) were ‘illegal’. The majority of the 113 illegal tackles were front-on (75%), high tackles (72%) and occurred in the 2nd/4th quarters (29% each). Of the illegal tackles, only 59% were sanctioned. The proportions of illegal tackles and sanctioning of these illegal tackles to all tackles improved by 0.2% per year from 2011–2015 (p<0.05). ConclusionsIn these youth community rugby players, 59% of illegal tackles were not sanctioned appropriately. This was better than a previous study in elite adult rugby, where only 7% of illegal tackles were penalised. Moreover, the rates of illegal tackles and non-sanctioned illegal tackles both improved over time. However, it is critical that referees consistently enforce all laws to enhance injury prevention efforts. Further studies should investigate the reasons for non-sanctioning.

The efficacy of the BokSmart Safe Six exercise-based intervention on injury risk profiles in healthy active adults: A feasibility study

Background: The BokSmart programme aims to improve the safety of all South African rugby union (‘rugby’) players. Exercise-based interventions have successfully reduced injury risk profiles, such as Functional Movement Screening (FMS), in many sports. Thus, BokSmart developed an exercise-based intervention – the Safe Six. This intervention was designed to improve the injury risk profiles of rugby players ultimately. However, before testing this intervention on rugby players in a real-world setting, it was important to first test the intervention efficacy under controlled conditions in healthy active adults.

The BokSmart education courses are associated with improvements in behavioural determinants in South African rugby union coaches and referees

The BokSmart education courses are associated with improvements in behavioural determinants in South African rugby union coaches and referees

The association between harm avoidance personality traits and self-reported concussion history in South African rugby union players.

Personality traits have been proposed to affect the risk of sports concussion, but evidence is limited. Cloninger's Tridimensional Personality Questionnaire (TPQ) measures novelty seeking, harm avoidance (HA), and reward dependence traits. The aim of this study was to investigate the relationship between TPQ scores and concussion history in rugby union players. Cross-sectional study. Rugby players from high schools, senior amateur clubs, and professional teams provided a self-reported concussion history and completed the TPQ. Participants reporting no previous concussions formed the control group, while participants reporting concussion formed the case group. A one-way analysis of covariance, with age as a covariate, was used to examine the differences in TPQ scores between groups. Of the 309 participants, 54% reported a minimum of one concussion (junior: 47%; amateur: 52%; professional: 72%). HA scores were significantly higher in junior players without a history of concussion compared to cases (p=0.006). Specifically, the junior control group had higher "anticipatory worry" (p=0.009) and "fear of uncertainty" (p=0.008). In contrast, the professional control group had lower HA scores than cases (p=0.009), while the amateur cohort displayed no differences between control and case groups. This study identified a novel association between HA and concussion in rugby players, adding evidence to the role of personality in a multifactorial risk-model of concussion. The findings suggest that lower HA may lead to increased dangerous play in youth rugby, influencing concussion susceptibility. Contrasting associations in the professional cohort suggest further research is required to understand the role of personality in concussion.

The association between COMT rs4680 and 5-HTTLPR genotypes and concussion history in South African rugby union players

ABSTRACTThe objective was to investigate the relationship between Catechol-O-methyltransferase (COMT) rs4680 and serotonin-transporter-linked polymorphic region (5-HTTLPR) genotypes with concussion history and personality traits. Rugby players (“all levels”: n = 303), from high schools (“junior”, n = 137), senior amateur, and professional teams (“senior”, n = 166), completed a self-reported concussion history questionnaire, Cloninger’s Tridimensional Personality Questionnaire, and donated a DNA sample. Participants were allocated into control (non-concussed, n = 140), case (all) (previous suspected or diagnosed concussions, n = 163), or case (diagnosed only) (previous diagnosed concussion, n = 140) groups. COMT rs4680 Val/Val genotypes were over-represented in controls in all levels (P = 0.013, OR:2.00, 95% CI:1.15–3.57) and in juniors (P = 0.003, OR:3.57, 95% CI:1.45–9.09). Junior Val/Val participants displayed increased “anticipatory worry” (P = 0.023). The 5-HTTLPR low expressing group was under-represented in controls when all levels were considered (P = 0.032; OR:2.02, 95% CI:1.05–3.90) and in juniors (P = 0.021; OR:3.36, 95% CI:1.16–9.72). Junior 5-HTTLPR low and intermediate expressing groups displayed decreased “harm avoidance” (P = 0.009), “anticipatory worry” (P = 0.041), and “fear of uncertainty” (P < 0.001). This study provides preliminary indications that personality associated genetic variants can influence concussion in rugby.

Mechanisms and Factors Associated With Tackle-Related Injuries in South African Youth Rugby Union Players

Background: The majority of injuries in rugby union occur during tackle events. The mechanisms and causes of these injuries are well established in senior rugby union. Purpose: To use information from an injury database and assess video footage of tackle-related injuries in youth rugby union matches to identify environmental factors and mechanisms that are potentially confounding to these injuries. Study Design: Descriptive epidemiological study. Methods: Injury surveillance was conducted at the under-18 Craven Week rugby tournament. Tackle-related injury information was used to identify injury events in match video footage (role-matched noninjury tackle events were identified for the cohort of injured players). Events were coded using match situational variables (precontact, contact, and postcontact). Relative risk ratio (RRR; ratio of probability of an injury or noninjury outcome occurring when a characteristic was observed) was reported by use of logistic regression. Results: In comparison with the first quarter, injury risk was greater in the third (RRR = 9.75 [95% CI, 1.71-55.64]; P = .010) and fourth quarters (RRR = 6.97 [95% CI, 1.09-44.57]; P = .040) for ball carriers and in the fourth quarter (RRR = 9.63 [95% CI, 1.94-47.79]; P = .006) for tacklers. Ball carriers were less likely to be injured when they were aware of impending contact (RRR = 0.14 [95% CI, 0.03-0.66]; P = .012) or when they executed a moderate fend (hand-off) (RRR = 0.22 [95% CI, 0.06-0.84]; P = .026). Tacklers were less likely to be injured when performing shoulder tackles (same side as leading leg) in comparison to an arm-only tackle (RRR = 0.02 [95% CI, 0.001-0.79]; P = .037). Ball carriers (RRR = 0.09 [95% CI, 0.01-0.89]; P = .040) and tacklers (RRR = 0.02 [95% CI, 0.001-0.32]; P =.006) were less likely to be injured when initial contact was made with the tackler’s shoulder/arm instead of his head/neck. Conclusion: The relative risk of tackle-related injury was higher toward the end of matches. Incorrect technique may contribute to increased injury risk. Implementing recovery strategies between matches, training safe and effective techniques, and improving levels of conditioning may counter the negative effects of fatigue. These findings may assist stakeholders in youth rugby to formulate injury prevention strategies and may improve the preparation of field-side medical staff for managing tackle-related injuries at these or similar tournaments.

Incidence and Factors Associated With Concussion Injuries at the 2011 to 2014 South African Rugby Union Youth Week Tournaments.

To determine the concussion incidence and to identify factors associated with concussion in South African youth rugby union players. Prospective cohort study. Injury surveillance was completed at the South African Rugby Union Youth Week tournaments (under-13, under-16, and under-18 age groups). South African youth rugby union players. A total of 7216 players participated in 531 matches between 2011 and 2014. None. Concussion incidence was calculated per 1000 player-match-hours with 95% CIs. Poisson regression was used to calculate the incidence rate ratio (IRR) between factors (age, time period, playing position, and activity at the time of concussion) potentially associated with concussions. The concussion incidence was 6.8/1000 player-match-hours (95% CI, 5.5-8.1) across all age groups. Under-13s (IRR, 1.5; P = 0.09) and under-16s (IRR, 1.7; P = 0.03) had higher concussion incidence rates than the under-18 age group. The incidence was higher in the third (IRR, 2.1; P = 0.04) and fourth (IRR, 2.5; P = 0.01) quarters of matches compared with the first quarter. Sixty-two percent of concussions occurred in the tackle situation. The tackler had a 4-fold greater concussion rate (IRR, 4.3; P < 0.001) compared with the ball carrier. The hooker and loose forwards had higher incidence rates than several other player positions (P < 0.05). The reported concussion incidence falls within the broad range previously reported in youth rugby. The evidence highlighted in this study may contribute to targeted concussion prevention strategies and provide a baseline against which the effectiveness of future interventions can be measured.

Playing time between senior rugby players of different ethnic groups across all levels of South African rugby, 2007- 2011

Background. The South African Rugby Union (SARU) has had a continual challenge to make the game representative of players of all ethnic groups at all levels of play. In response to this challenge SARU has implemented several programmes designed to accelerate the development of players from previously disadvantaged areas with the goal of making the game more representative. However, the success of these programmes to transform the player profile at different levels of rugby cannot be evaluated because the players representing different ethnic groups have not been quantified in a systematic way.Objectives. To quantify the number and playing time of South African professional players (Vodacom, Currie Cup, Super Rugby and Springboks) from different ethnic groups from 2007 to 2011 to determine whether there are any changes in the profile of the players over this period.Methods. Playing time was recorded for all players in sanctioned matches. Players were divided into the ethnic classifications used by SARU (i.e. white, coloured and black).Results. At all levels of competition there were proportionally more white players, followed by coloured players and then black players. This pattern did not change from 2007 to 2011. Based on the ratio of number of players v. playing time, the white players played more time than expected at the Springbok level, whereas the black players played less than expected for the number of players from 2007 to 2011. At the Vodacom level the white players played more than expected in 2007 and 2008 and played less than expected in 2010 and 2011, whereas the black players played more than expected in 2010 and the coloured players played more than expected at the 2011 tournament. The Super Rugby tournamenthad the most consistency between players and expected playing time for the different ethnic groups.Conclusions. Despite the effort to support players from disadvantaged backgrounds since 1998 with facilitative programmes and selection targets, the professional game is still dominated by white players at all levels.