KenPom.com

KenPom.com
Name	KenPom.com
Founder	Ken Pomeroy
Launched	2002
Type	College basketball analytics
Country	United States
Language	English

KenPom.com is an online statistical resource dedicated to advanced analytics for college basketball in the United States. Founded and maintained by statistician Ken Pomeroy, the site provides tempo-free metrics, efficiency ratings, and predictive models used by journalists, broadcasters, coaches, and fans. KenPom’s outputs have influenced coverage around the NCAA Division I Men's Basketball Tournament, conference realignment discussions, and roster evaluation across programs such as Duke University, University of Kentucky, and University of Kansas.

History

Ken Pomeroy, a graduate of Worcester Polytechnic Institute, launched the project while publishing college basketball ratings influenced by work from analysts associated with Basketball-Reference, The Basketball Index, and sabermetric traditions stemming from Bill James. Early iterations drew attention during postseason coverage of the NCAA Tournament and the March Madness media cycle, intersecting with reporting from outlets like ESPN, The New York Times, The Washington Post, and CBS Sports. Over time the site expanded as analytics adoption grew among programs such as Michigan State University, University of North Carolina at Chapel Hill, and Villanova University, and as conferences including the Big Ten Conference, Atlantic Coast Conference, and Big 12 Conference invested in analytics staff. Milestones included integration of adjusted efficiency metrics into broadcast discussion during Final Four telecasts and citations in coaching clinics hosted by organizations like the National Association of Basketball Coaches.

Methodology

Pomeroy’s methodology centers on tempo-free, possession-based measures building on statistical ideas used in publications like Basketball Prospectus and modeling approaches influenced by academic work at institutions such as Massachusetts Institute of Technology and Stanford University. The core rating, Adjusted Efficiency, combines offensive efficiency and defensive efficiency normalized by opponent strength, using play-by-play and box score data sourced from competitions involving schools like Ohio State University, Syracuse University, University of Arizona, and Texas Tech University. Predictive models incorporate strength of schedule adjustments similar in spirit to ratings from entities like the Ratings Percentage Index era and modern methods used by analysts at FiveThirtyEight and Ken Goldin-type collectors. The site applies weighting, home-court tempo adjustments, and regression toward mean techniques comparable to methods developed at Carnegie Mellon University and described in papers presented at conferences involving MIT Sloan Sports Analytics Conference contributors.

Reception and Impact

KenPom’s metrics have been cited by writers at The Athletic, Sports Illustrated, Bleacher Report, USA Today, and SB Nation, influencing how programs—from Gonzaga University to University of Louisville—are evaluated. Broadcasters on networks like CBS, TBS, ESPN2, and FOX Sports reference KenPom ratings during tournament previews and selection discussions coordinated with the NCAA Selection Committee. The analytics have shaped recruiting narratives affecting prospects covered by Rivals.com, 247Sports, and ESPN Recruiting, and contributed to strategy exchanges at coaching summits featuring staff from schools such as Indiana University, University of Maryland, and Texas A&M University. Academic citations appear in sports analytics coursework at University of Michigan and University of North Carolina at Chapel Hill.

Usage in Media and Coaching

Journalists at The Wall Street Journal, commentators on TNT, and podcasters from shows affiliated with Barstool Sports use KenPom data to contextualize matchups featuring teams like Butler University, Clemson University, and Purdue University. Coaches and analytics directors at institutions including Purdue University Fort Wayne, Seton Hall University, and University of Florida have discussed tempo and efficiency metrics comparable to KenPom outputs during staff meetings, scouting reports, and advanced scouting departments. Analytics-driven lineup decisions in games covered by outlets such as Deadspin and The Ringer sometimes reference adjusted offensive and defensive measures when evaluating rotations involving players from University of Michigan, Syracuse University, and University of Texas at Austin.

Data and Metrics Provided

The site provides Adjusted Offensive Efficiency, Adjusted Defensive Efficiency, tempo (possessions per 40 minutes), and ancillary statistics comparable to those tracked by Synergy Sports Technology, NCAA Statistics, and proprietary services used by programs in the American Athletic Conference. Metrics cover Division I teams such as Wake Forest University, University of Missouri, Oregon State University, and University of Tennessee, and include tempo-adjusted opponent metrics, four-factor components used in analysis popularized by Dean Oliver, and expected win percentages. Historical leaderboards enable comparison across seasons that feature champions like University of Connecticut and Villanova University. The data integrates box score-derived inputs similar to datasets maintained by Ken Pomeroy’s contemporaries and complements play-by-play repositories used in academic studies at Harvard University and Yale University.

Criticisms and Limitations

Critics from columnists at Deadspin, analysts at FiveThirtyEight, and commentators on The Athletic note limitations: reliance on box-score aggregates can miss player tracking insights provided by Second Spectrum and lineup-level complexities captured by in-season tracking at NBA Advanced Stats. Small sample sizes in early-season nonconference play among teams like University of San Diego and Loyola University Chicago can produce volatility, and adjustments cannot fully account for roster turnover caused by National Collegiate Athletic Association transfer periods or NBA Draft departures. Some coaches argue that metrics underweight contextual scouting information familiar to staff at Gonzaga University or Kansas State University. Academic critiques presented at the MIT Sloan Sports Analytics Conference discuss model assumptions, covariance structures, and the tradeoffs between simplicity and overfitting.

Commercial Model and Access levels

KenPom operates a freemium model similar in marketplace positioning to services offered by Synergy Sports Technology and subscription analytics platforms cited by writers at The Athletic. Basic leaderboards are publicly viewable while premium features—deeper team pages, play-level breakdowns, and long-form historical archives—require paid subscriptions used by media professionals at ESPN and private analytics staff at programs like University of Arizona and University of Kentucky. The subscription tiers support site maintenance, data collection, and occasional feature development paralleling commercial efforts by analytics vendors who service collegiate athletics departments and media partners.

Category:College basketball statistics