Purpose: This study explored methodological considerations in comparing accumulated workload across different starting status classification methods in professional women`s soccer. Specifically, we (1) described best-fit classification criteria and (2) compared accumulated workload data across methods used to categorize players based on the previous match exposure. Methods: Workload data were collected from 36 soccer players competing in the Mexican Women`s League over 3 seasons, covering 240 training sessions and 51 matches. Workload metrics were obtained using global positioning system, heart-rate recording, and ratings of perceived exertion. Players were classified as starters or nonstarters according to seasonal available playing time (SAPT; >60% total match time), weekly playing time of the last match (WPTLM; =60 min), and weekly match started (WMS). Results: The players` classifications matched 71.4% between SAPT and WPTLM and 90.0% between WPTLM and WMS. Among starters, the strongest agreement occurred between WPTLM and WMS (73.3%), whereas nonstarters showed the largest discrepancy between WMS and SAPT (74.2%). In all scenarios, players had a higher likelihood of being classified as nonstarters (odds ratio = 1.17-1.74). The SAPT method (60-min cutoff) best predicted starting status (R2 = .52). In general, either in starters or in nonstarters, seasonal accumulated workload differed across classification methods for almost all metrics (P < .05). Conclusions: Classifying players based on WPTLM or WMS produced similar workload outcomes, being suitable for immediate week-to-week decisions to balance the training in women`s soccer. On the other hand, the SAPT is more suitable for retrospective use (previous seasons and research).
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