Net Man-Games Lost as a Coaching and GM Evaluation Metric in the NHL

Authors

  • Quinton J. Krueger Probility AI, Minnesota, USA; Northwestern University, Evanston, IL, USA
  • Toby Velte Probility AI, Minnesota, USA
  • Doug Plocki Probility AI, Minnesota, USA
  • Nick Carone Probility AI, Minnesota, USA

DOI:

https://doi.org/10.3384/ecp221010

Abstract

NHL front offices often treat injury burden as bad luck. We argue it is partly organizational, and that the right unit is relative: a team’s man-games lost against its opponents’. On a 17-season corpus with 2024–25 as the focal year, we introduce Net_MGL and its cap-weighted counterpart Net_MGL_Money and evaluate coach and GM tandems on both. The single-season signal is weak, but across 430 full-length team-seasons qualification falls monotonically with burden (odds ratio 0.470 per SD). A crossed random-effects decomposition places the persistent component at the organizational level: about a fifth of the variance in season-long burden is stable franchise and front-office structure, while the head coach’s share is near zero and neither travels between teams nor responds to coaching changes. At the game level a team wins about 1.5 percentage points more often per net man-game of health advantage, an effect that survives within-roster controls yet is small against tandem-quality differences of 6.4 win-rate points. Net_MGL surfaces a health dimension that records obscure and, for long-tenured tandems, a durability screen for hiring.

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Published

2026-09-25