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International Journal of Esports
The study asks whether player skill or character choice more strongly determines outcomes in Super Smash Bros. Melee.
Kasumovic's study examines whether player skill or character choice more strongly determines outcomes in Super Smash Bros. Melee, using Bradley-Terry paired-comparison models fitted to 49,141 matches drawn from Ausmash tournament data, with the analysis focused on Australian and New Zealand competition. Its central thesis is that character selection matters, but it is secondary to the skill of the individual player, a conclusion supported by a player-level random effect (σ ≈ 2.33) that dwarfs the modest character-level effects.
The character-level model yields the paper's most substantive character-specific results. Sheik and Kirby reach statistical significance relative to Fox, but most individual character and matchup estimates remain statistically weak. Character ability rankings correlate significantly with the community's Melee tier list (Kendall's τ = 0.604, p ≈ 1.55 × 10⁻⁵), offering external validation that the empirical rankings reflect shared competitive judgments. Character sample size is also linked to both ability estimates and their standard errors, underscoring how thinly represented characters limit reliable inference.
The pairwise matchup analysis finds only four of 21 matchups showing mild intransitivity, all within one standard error of zero, suggesting that the dominance relationships among characters are largely coherent. The authors attribute notable outliers, such as Fox ranking lower and Link ranking higher than expected, to skill-dependence effects and dataset anomalies rather than to inherent character strength.
The study's scope is limited by its regional sample and by small counts for less popular characters, constraints that temper the generalizability of its character-level rankings. Its methodological foundation rests on paired-comparison modeling, which lends the skill-versus-character conclusion analytical rigor within the confines of tournament data from a single region.
International Journal of Esports · 2026
DiGRA · 2019