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Objectives: In the context of Grand Slam tennis, we sought to examine how situational pressure and prior errors can disrupt subsequent performance in elite performers. Methods: A retrospective analysis of more than 650,000 points across 12 Grand Slam tennis tournaments from 2016-2019 was conducted to identify pressurised in-game moments and unforced errors. A scoring system was used to index situational pressure based on the current match situation (e.g., break points, stage of the match) on a point-by-point basis. The occurrence of performance errors was identified based on double faults and unforced errors, as instances of controllable mistakes. Results: A mixed effects logistic regression model revealed that an increase in the pressure index (a 1-5 score) significantly increased the probability of a performance error (ps |
