To observe workout repetition and rest interval pacing strategies and determine which best predicted performance during the 2016 CrossFit (R) Open, five male (34.4 +/- 3.8 years, 176 +/- 5 cm, 80.3 +/- 9.7 kg) and six female (35.2 +/- 6.3 years, 158 +/- 7 cm, 75.9 +/- 19.3 kg) recreational competitors were recruited for this observational, pilot study. Exercise, round, and rest time were quantified via a stopwatch for all competitors on their first attempt of each of the five workouts. Subsequently, pacing was calculated as a repetition rate (repetitions.s(-1)) to determine the fastest, slowest, and average rate for each exercise, round, and rest interval, as well as how these changed (i.e., slope,. rate / round) across each workout. Spearman's rank correlation coefficients indicated that several pacing variables were significantly (p < 0.05) related to performance on each workout. However, stepwise regression analysis indicated that the average round rate best predicted (p < 0.001) performance on the first (R-2 = 0.89), second (R-2 = 0.99), and fifth (R-2 = 0.94) workouts, while the competitors' rate on their slowest round best predicted workout three performance (R-2 = 0.94, p < 0.001). The wall ball completion rate (R-2 = 0.89, p = 0.002) was the best predictor of workout four performance, which was improved by 9.8% with the inclusion of the deadlift completion rate. These data suggest that when CrossFit (R) Open workouts consist of multiple rounds, competitors should employ a fast and sustainable pace to improve performance. Otherwise, focusing on one or two key exercises may be the best approach.