We spent a lot of time last offseason and throughout the 2023-24 NCAA III hockey season talking with several coaches and a bunch of players about the lack of accessible stats and analytics available for coaches, scouts, and players to evaluate and benchmark themselves against their rivals and their peers. Upon the conclusion of the season, we began to internally discuss how to generate a Byron Bader-inspired production model to accomplish this, despite knowing that NHLe would not translate to NCAA III. After cultivating the stats of every single player in the country who played over 8 games this season, we were able to calculate aggregates, variances, deviations, and the other statistical components that going into baseline averaging. After months of planning and research and comparing the data to other league models that use NHLe, and weighing the values of competition bias based on conference, the variances in the data were less than 1 Standard Deviation from the control groups in the NHL, indicating that this superstar/star/average model accurately mirrors the weighted value of offensive production. For the time being, we have omitted the “Replacement” level status for any player in the 20th percentile or below in scoring due in sheer size of the league (900 more players than the NHL). Feel free to search and evaluate until your heart’s content.

For coaches or scouts who would access the raw data, feel free to contact us at: blackstitchhockey@gmail.com