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Research Article

The effects of travel on performance: a 13-year analysis of the National Rugby League (NRL) competition

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 60-65 | Accepted 10 Jan 2021, Published online: 01 Feb 2021

Figures & data

Figure 1. The effect of travel on the estimated probability of winning a fixture (a) and estimated points difference (b).

The solid black lines represent the estimated effect and the shaded grey areas represent the 95% confidence interval.
Figure 1. The effect of travel on the estimated probability of winning a fixture (a) and estimated points difference (b).

Figure 2. The effects of 1000 km of travel on the estimated probability of winning a fixture (a) and estimated points difference (b) across each season category.

The black point represents the marginal mean effects of travel. The grey shaded area represents the 95% confidence interval. The black arrow enables pairwise comparisons between seasons (clear effects are evident when the arrows do not overlap, with the lowest and highest effect arrow truncated).
Figure 2. The effects of 1000 km of travel on the estimated probability of winning a fixture (a) and estimated points difference (b) across each season category.

Figure 3. The effects of 1000 km of travel on the estimated probability of winning a fixture (a) and estimated points difference (b) across each state.

The black point represents the marginal mean effects of travel. The grey shaded area represents the 95% confidence interval. The black arrow enables pairwise comparisons between states (clear effects are evident when the arrows do not overlap, with the lowest and highest effect arrow truncated).
Figure 3. The effects of 1000 km of travel on the estimated probability of winning a fixture (a) and estimated points difference (b) across each state.