What NCAA GOALS time-use data shows about the student-athlete week

Every recruiting pitch promises that your athlete can handle college athletics and academics at the same time. The NCAA's own research lets families test that promise. The Growth, Opportunities, Aspirations and Learning of Students in College study, known as GOALS, has surveyed thousands of student-athletes across all three divisions, and its time-use findings give recruits a realistic preview of what a committed week actually looks like.

This review summarizes what the study measures, what its time-use evidence shows, and how to convert those findings into scheduling decisions during recruiting.

What the headline statistic measures

GOALS asks student-athletes to report how they spend their time across categories including athletic activities, academics, employment, sleep, and social life. Because the survey covers athletes at hundreds of schools in Divisions I, II, and III, it remains the broadest public picture of the student-athlete week. The 2020 edition alone drew responses from more than 22,000 athletes at 560 schools, and the study series has continued in subsequent cycles, including the 2025 edition that recent analyses draw on.

Across editions, one pattern recurs with remarkable consistency: in-season athletes report spending a very large share of their week on athletic activities. Football players in Division I have repeatedly reported figures in the neighborhood of forty hours each week during the season, comparable to a full-time job before coursework begins. Other sports report lower but still demanding totals, and out-of-season obligations remain well above zero.

Methodology

Our approach had three parts:

1. Identify the NCAA's published GOALS materials, including the convention presentations and study summaries hosted on NCAA.org, plus the broader research-studies library that contextualizes them.
2. Extract the time-use questions and response patterns that recur across editions, separating in-season from out-of-season reporting.
3. Translate the reported distributions into concrete weekly-planning guidance for currently recruiting high-school athletes, without treating any single self-reported figure as a universal standard.

No individual school data was used. All claims in this review trace to NCAA-published survey reporting or are explicitly labeled as planning heuristics.

Evidence analysis

Three findings matter most for recruits.

First, in-season load dominates everything. Self-reported athletic hours during the season consistently exceed what most high-school athletes currently spend on their sport, sometimes by double. The jump comes less from practices and games than from the surrounding structure: treatment, film, travel, mandatory study hall, and conditioning accumulate quietly across a seven-day week.

Second, division level matters less than recruits expect. Division III athletes report meaningful athletic hours too, because commitment intensity follows competitive ambition rather than scholarship status. A recruited walk-on at a strong academic school may experience a schedule closer to a Division I athlete than to a recreational one.

Third, academics compress rather than disappear. GOALS respondents report substantial academic hours even in season, which implies that the flexible hours of the week shrink dramatically. Sleep and social time absorb the difference, which is why the same survey series documents sleep shortfalls among the busiest groups, most famously among football players.

Read together, the evidence supports a specific conclusion: the relevant recruiting question is not "can my athlete succeed academically there?" in the abstract, but "what does the Tuesday of an in-season week physically look like at this program?" That question can be asked directly, and good programs answer it with actual schedules.

What this means for a recruiting plan

During visits, request a sample in-season weekly schedule for freshmen in your athlete's sport, including study-hall requirements and travel windows. Compare it honestly against your athlete's current academic load and study habits. If your athlete carries a demanding major interest such as engineering or nursing, ask how advising handles lab sections and clinical rotations that conflict with travel; the registrar's flexibility varies by school more than by division.

At home, rehearse the compression before it arrives. Have your athlete run one week each semester at a deliberately harder load: earlier wake-ups, structured evening study blocks, weekend academic time. Athletes who have practiced operating under compressed schedules adapt faster than athletes who meet the structure for the first time in August of freshman year.

Finally, set the family's expectations together. Siblings and parents who expect constant weekend availability should understand now what the in-season calendar permits. Recruiting stress often traces to mismatched household assumptions rather than to the athlete's actual capacity.

A concrete composite makes the findings tangible. Picture an in-season Tuesday for a Division I freshman in a fall sport. Morning treatment and rehab before a 9 a.m. class block. Walk-through and practice occupying the early afternoon at lengths set by the coaching staff, then film review, refueling, and a mandated study-hall window in the evening. Nothing in that day looks extreme in isolation; the cumulative effect, reported consistently in GOALS time-use data, is that structured obligations consume most waking hours and leave academic work compressed into fixed, protected windows.

Freshmen describe the surprise differently from the survey: it is not any single obligation but the loss of unstructured slack. High-school athletes typically bank free hours daily. College athletes in season spend those hours by contract, in effect, before discretionary choices begin. The GOALS evidence about sleep shortfalls among the busiest groups follows directly from this compression, because sleep becomes the only flexible line item left.

Two planning behaviors follow naturally. First, move academic work into morning and early-afternoon blocks whenever scheduling allows, protecting evening sessions that travel and treatment most often disrupt. Second, identify one weekly catch-up block, usually a Sunday, reserved for assignments due midweek, so a single disrupted evening never cascades into a late submission. Neither habit requires unusual discipline; both require deciding in advance where the hours will live.

Limitations of the data

GOALS figures are self-reported, so recall error and social desirability shape them; busy athletes may round or estimate. Survey editions differ in wording and sampling, limiting precise comparisons across years. Aggregates smooth over enormous variation between sports, conferences, and individual coaching styles, and no survey response predicts one athlete's experience at one school. The figures also describe enrolled athletes, not the recruiting process itself. Use the study for magnitudes, not decimals, and verify program-specific schedules directly with the staff.

Conclusion

The GOALS series gives families the closest thing recruiting has to an honest workload preview: large, multi-division surveys showing that in-season athletic time approaches full-job scale while academic obligations persist. Recruits who internalize that reality choose majors, schools, and habits that survive contact with the actual schedule. Ask for the sample week, rehearse the compression at home, and treat any program unwilling to discuss time honestly as a program telling you something important.

Sources

1. 2020 GOALS Study results shared at NCAA Convention
2. NCAA research studies
3. Student-athletes' future
4. Student-athletes on track to graduate
5. Play Division I sports