The Deterrence Trap: Reclassifying Rim Protection by Career Success in the Modern NBA
Year: 2026
Type: preprint
Abstract: A decade of interior-defense analytics, beginning with the Dwight Effect (Goldsberry and Weiss, 2013), established that a rim protector’s value lies in suppressing close attempts rather than in blocking them, and the modern public-metric ecosystem now measures block-independent deterrence routinely. What that literature has not asked is longitudinal: which deterrence archetype predicts a successful career? We classify 46 modern NBA centers (419 center-seasons) on two axes– a box axis (BLK/36×AST/36) and a tracking-deterrence axis (rim-suppression × AST/36)– and relate the resulting quadrants to career outcomes. Quadrant membership discriminates career production (PRA/36) at Kruskal-Wallis p = 0.003, surviving multiple comparison correction; the same test on the block axis is weaker (p = 0.008), so sorting centers by measured deterrence rather than by blocks separates careers more sharply than the box score does. Reclassifying centers from the box axis to the deterrence axis moves 30% of the pool (14 of 46) across quadrant boundaries. A secondary, directional finding identifies a failure archetype: across the four deterrence quadrants the low-playmaking swiper posts the lowest mean career success composite (−0.195) and the floor general the highest (+0.411). The omnibus test on that composite does not reach significance (p = 0.16), and the sharpest pairwise contrast floor general over swiper– is a large effect (Cliff’s δ = 0.474) that does not survive family wise correction; we report the ranking as directional, and note that it is stable across both robustness panels. We state the limits plainly: n = 46 careers, tracking-deterrence measured 2019–25 only, and one theory-motivated robustness trim. A forward replication is pre-registered for the 2026–27 season.
Author: Humphrey, Nathan
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7165128180
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