Multilevel modelling was undertaken to examine the influence of pre-match [CK] on performance ranking scores. This approach is appropriate for repeated measures designs as it takes into account between-player variability. An initial model was constructed which examined the relationship between pre-match [CK] and performance ranking scores, controlling for possible trends across the season. Pre-match [CK] and round (weeks into the season) were entered as fixed effects, while each player was identified in the model as a contextual variable. Player characteristics were then separately tested within this model by adding a fixed interaction effect between the player characteristic and pre-match [CK]. Statistically significant interaction effects within the model are reported in addition to the initial model.