Methodology
How directory data and scores work
GetRecruited's directory and reports are built from federal athletics and education datasets, then normalized into program and school profiles that can be compared across sport, gender, division, state, and conference.
Each program is scored against its true peers — the same sport, gender, and division — so the figures you see are relative to like programs rather than the field as a whole.
Data sources
EADA athletics reporting
Program-level athletics finance and roster data comes from federal EADA reporting. That is the source for fields such as operating expenses, total revenue, and roster size.
IPEDS and College Scorecard
School-level outcomes and affordability data come from IPEDS and College Scorecard. That includes average net price, retention rate, graduation rate, acceptance rate, Pell rate, and median earnings.
GetRecruited directory joins
Those federal datasets are joined with school, sport, conference, division, state, and URL metadata so pages link directly into program and school profiles.
How percentile scores work
Investment, affordability, and academic scores are percentile-based relative measures, not raw grades pulled from a source dataset. A program is compared against peers in the same sport and gender so that a soccer program is not benchmarked against football or volleyball.
The scoring pipeline first percentile-ranks the underlying inputs, combines those normalized inputs into a composite, then percentile-ranks the composite again within the relevant comparison set. Letter grades are derived from those final percentiles.
Metric definitions
Refresh cadence and limitations
Directory data is rebuilt on a regular cadence. When a page says “Data last updated,” that refers to the timestamp of the current underlying data build rather than the deploy date.
Reported aid, revenue, expenses, and outcomes are directional and should be used as comparison inputs rather than guarantees. School-level academic and affordability fields describe the institution as a whole, not just one team. Program-level athletics finance data is also dependent on institutional reporting quality.
