DCU analysis of Rugby Sevens Reveals Gap in Performance Analysis Standards

The study examined 18 research papers spanning two decades and identified 220 unique key performance indicators (KPIs) used to assess player and team performance in the fast-paced sport. However, researchers found that 54% of studies failed to provide clear definitions for the metrics they used.

The research highlighted that without standardized definitions, a performance indicator representing the same match action might be called different names across different studies. This lack of consistency makes it difficult to compare findings between research projects or apply insights across different teams.

The review also revealed an overwhelming focus on outcome-based research, with 56% of studies examining winning versus losing or team rankings, while only 33% investigated the underlying processes that drive performance. Researchers argue this emphasis on results over process limits practical insights for coaches seeking to improve specific skills and tactics.

Gender disparities emerged as another concern. Male teams dominated the research landscape, featuring in 56% of studies, while female teams appeared in just 11% of papers exclusively and 17% of mixed-gender studies. The analysis found that successful male and female teams employ distinct tactical approaches, yet this difference remains underexplored.

Tactical differences between the men’s and women’s games (men's teams prioritize contestable restarts, whereas women's teams rely more on quick lineouts) highlight the need for gender-specific performance frameworks.

The review identified emerging opportunities in machine learning applications, with two studies achieving prediction accuracies of up to 87.5% for match outcomes. However, these technologies require standardized, high-quality data to reach their full potential.