Team Synchrony Under Fire: Heart Rate Recurrence Reveals a Biosignature of Victory in Elite Esports.

Abstract

Team success in esports is typically attributed to mechanical skill and tactical execution, yet theoretical models of real-time team coordination remain lacking. This cross-sectional study examined whether team-level physiological synchrony, measured via heart rate (HR), predicts competitive success in elite first-person shooter esports. HR data sampled at 2 Hz were collected during the 2024 Peacekeeper Elite League Fall Finals. Team-level HR synchrony was quantified using multidimensional recurrence quantification analysis (MdRQA) on 5-s binned HR series. Synchrony metrics were compared between winning and losing teams during pregame and in-game phases using robust linear mixed-effects models. A total of 4.73 million HR samples were analyzed, representing 98.4 h of gameplay. No significant winner-loser differences emerged pregame. During gameplay, however, winners exhibited significantly greater synchrony across multiple MdRQA dimensions. Compared with losers, winners showed higher recurrence rate (+4.18%, Cohen d = 0.71), determinism (+12.0%, d = 0.77), laminarity (+7.03%, d = 0.50), diagonal entropy (+0.95, d = 0.82), vertical entropy (+0.76, d = 0.70), average diagonal line length (+3.0 s, d = 0.67), average vertical line length (+5.3 s, d = 0.78), and maximum line lengths (+73.2 s diagonal, d = 0.52; +45.0 s vertical, d = 0.57). These effects remained significant across 5-s delay embedded models and sensitivity analyses. Winning teams exhibited more frequent, complex, and sustained HR synchrony during gameplay-suggesting a state of coordinated physiological readiness. These recurrence-based signatures offer a novel biobehavioral marker for training, diagnostics, and team assessment in esports.