How Xavier Women’s Basketball Optimizes Daily Load Targets for Low- and High-Minute Players

A player’s workload does not start and stop with game minutes. Starters may carry heavy game demands, while role players and low-minute athletes may need additional stimulus to stay prepared for the next opportunity. 

That is why daily analysis matters. Coaches can review how much load each athlete accumulated, how intense the session was, and whether the workload aligned with the team’s weekly plan. 

“Tracking performance between games is just as important as the game itself,” Weinstein said. ​“We optimize recovery for every high-minute player, especially between games, to ensure readiness while exposing low-minute/rotation players to the necessary stimuli to compete at a high level for the next opponent.”

Team-wide averages provide a useful starting point, but they do not tell the full story. Different athletes respond differently based on role, minutes, position, recovery status, and recent workload history. 

A high-minute guard may need a reduced practice load after a demanding game, while a role player may need extra work to maintain game readiness. Applying one threshold across the roster can cause some athletes to be overworked while others remain underprepared. 

Individualized workload targets help coaches make more precise decisions. By using historical data and weekly trends, staff can adjust practice exposure by athlete, position, or player group. 

Performance data becomes most useful when coaches understand what each metric adds to the decision-making process. 

• Accumulated Acceleration Load (AAL) helps quantify the mechanical stress placed on the body through accelerations, decelerations, changes in direction, and jumps. In basketball, where athletes constantly stop, start, cut, and react, this provides valuable context beyond total distance. 
• AAL/​min shows intensity by normalizing load over time. This allows coaches to compare sessions, drills, or athletes with different playing times. A shorter session can still create a high-intensity demand if load accumulates quickly. 
• Total Distance gives staff a broader view of volume. It helps coaches understand how much overall work an athlete completes across a practice, game, or week. 
• High-Speed Distance helps identify whether players are receiving enough exposure to game-like intensities. It can also help staff monitor how athletes respond to high-intensity movement demands during dense schedule periods. 
• RPE adds the athlete’s internal response. When an athlete reports a high RPE despite moderate external outputs, it may indicate fatigue, soreness, or under-recovery. Combining external workload data with internal feedback gives coaches a more complete view of readiness. 

Daily reports help performance staff understand how workloads change across practices, games, and recovery days. In the Xavier use case, Weinstein used daily (and weekly) reports to monitor whether players were trending toward the desired load range and whether practice needed to be modified before the next matchup. 

A one-game week may create an opportunity to maintain or build load. A congested two-game week may require reduced volume, modified drills, or more recovery. A game with lower-than-expected load may require staff to add controlled stimulus later in the week. 

“Tracking the data daily during short and long stretches of practices and games makes it easier to adjust workloads and recommend recovery days,” Weinstein explained. ​“Without this information, we could continue pushing our starters through fatigue or early signs of injury that may not become obvious until the issue has escalated, potentially forcing them out of the lineup or into a reduced role.” 

Workload management is not about reducing load at all costs. Players still need enough stimulus to tolerate game demands and sustain performance deep into the season. The key is knowing when to build, when to maintain, and when to recover. 

Performance data helps coaches answer practical questions, such as: Are high-minute players recovering between games? Are low-minute players getting enough work? Did practice create more load than expected? Does an athlete need a modified session? 

By connecting daily workloads, weekly trends, and athletes’ responses, coaches can make more informed decisions about practice structure, recovery, and readiness. Data does not replace coaching experience. It gives coaches better context to act with confidence. 

For more insights or a personal consultation, reach out to our team to book a demo.