Kenneth Massey

This article has multiple issues. Please help improve it or discuss these issues on the talk page. (Learn how and when to remove these messages) A major contributor to this article appears to have a close connection with its subject. It may require cleanup to comply with Wikipedia's content policies, particularly neutral point of view. Please discuss further on the talk page. (October 2015) (Learn how and when to remove this message) The topic of this article may not meet Wikipedia's notability guideline for academics. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. If notability cannot be shown, the article is likely to be merged, redirected, or deleted. Find sources: "Kenneth Massey" – news · newspapers · books · scholar · JSTOR (October 2015) (Learn how and when to remove this message) (Learn how and when to remove this message)

Kenneth Massey
Born	(1975-12-25) December 25, 1975 (age 48) Danville, Virginia, U.S.
Alma mater	Bluefield College (B.S.), Virginia Tech (M.Sc., ABD)
Employer	Carson-Newman University
Known for	Sports rating systems

Kenneth Massey is an American sports statistician known for his development of a methodology for ranking and rating sports teams in a variety of sports. His ratings have been a part of the Bowl Championship Series since the 1999 season. He is an assistant professor of mathematics at Carson–Newman University in Tennessee.^[1]

Massey, unlike the developers of other sports rating systems, gives quite a lot of information on how his system works, but omits enough details to prevent someone from copying the calculations in their entirety. The Massey ratings are designed to measure past performance, not necessarily to predict future outcomes. The first challenge for any computer rating system is to account for the variability in performance. A team will not always play up to its full potential. Other random factors (officiating, bounce of the ball) may also affect the outcome of a game. The model must somehow eliminate the "noise" which obscures the true strength of a team. The second goal is to account for the differences in schedule. When there is a large disparity in schedule strength, win–loss records lose their significance. The model must evaluate games involving mismatched opponents, as well as contests between well matched teams. It is necessary to achieve a reasonable balance between rewarding teams for wins, convincing wins, and playing a tough schedule. This issue is difficult to resolve, and rating systems exist that are based on each of the extremes. The overall team rating is a merit based quantity, and is the result of applying a Bayesian win–loss correction to the power rating. Only the score, venue, and date of each game are used to calculate the Massey ratings. Stats such as rushing yards, rebounds, or field-goal percentage are not included. Nor are game conditions such as weather, crowd noise, day/night, or grass/artificial turf. Overtime games are not treated any differently. Finally, neither injuries nor psychological factors like motivation are considered.

Massey's ratings are particularly relevant in the world of American college football, where, with over 100 teams in NCAA Division I competition, there is no way a team can play against more than a small fraction of its competitors. Therefore, in determining the participants in championship games and tournaments, it is necessary to distinguish between teams that have compiled impressive win–loss records against strong competition and teams that have defeated weaker opponents.

Massey's analysis is a valuable tool for leagues that need to fairly seed playoff brackets, or schedule games that will encourage competitive play and good sportsmanship. Sports rating systems are generally used by gamblers to forecast results, but Massey is not affiliated with this industry.

Massey's ratings came under some scrutiny, even from Massey himself in late 2008 for rating undefeated Utah ahead of then-consensus human poll #1 Alabama at the end of the season. In spite of the controversy, his ratings gained redemption after then-#6 Utah's 31–17 victory in the 2009 Sugar Bowl over then-#4 Alabama.^[2]

Massey first got the idea to do sports ratings as an undergraduate at Bluefield College. He developed various rating models at that time, and presented his work in the form of an honors project. While doing graduate work in mathematics at Virginia Tech, Massey was invited by Roy Kramer, then commissioner of the Southeastern Conference and president of the Bowl Championship Series, to submit his ratings for inclusion in the BCS ranking formula. Massey's college football rankings were part of the BCS formula from 1999 to 2013.

Massey also consults for various amateur and professional athletic leagues.

Massey resides in a high neighborhood of Jefferson City, TN with his wife, a native of Sibiu, Romania. They currently have four small children, a daughter Page, and sons Charles, Vlad, and Kasper.

• Official website
• "Massey Ratings (1930–1998)". Archived from the original on 2016-03-14. Retrieved 17 May 2022.
• Massey, Ken. "Massey Ratings". High School Sports. Archived from the original on 2010-01-15.
• Massey, Ken (Spring 1997). "Statistical Models Applied to the Rating of Sports Teams" (PDF). Bluefield, Virginia. Retrieved 2022-05-17.