bat fitting research breakdown

PDF · 2 Jun 2026

The document presents a comprehensive, physics‑driven framework for fitting baseball/softball bats. It argues that swing weight (the moment of inertia measured about a point 6 in from the knob, I5) is the single governing variable for bat fitting, superseding simple scale weight or balance‑point calculations. The author synthesizes theoretical models (Nathan’s collision physics, Bahill’s bat‑speed‑weight trade‑off, power‑law V ∝ I⁻ⁿ with n≈0.25‑0.28) and a wide body of empirical work (Cross & Nathan, Russell, Smith et al., Crisco/Greenwald, etc.) to show that (1) bat speed scales weakly with MOI, (2) batted‑ball speed exhibits a flat optimum where changes in weight have minimal effect, and (3) collision efficiency is dominated by bat speed, with only modest contributions from COR in regulated classes. The paper reviews how anthropometrics predict capacity (bat speed, EV) but not swing style, outlines the regulatory landscape (BBCOR, USSSA, USA Bat) and its impact on the fitting levers, critiques current manufacturer/practitioner fitting charts for ignoring MOI, and proposes a staged, data‑driven recommendation engine: (i) represent each bat by measured MOI (ASTM F2398), mass, balance point, length, barrel profile, and certification; (ii) empirically determine each hitter’s bat‑speed‑vs‑MOI curve using sensor data (Blast, HitTrax); (iii) propagate through the collision model to locate the individual flat‑optimum and recommend a slightly lower‑MOI for control; (iv) validate recommendations on low‑variance physical metrics (EV, whiff, barrel rate) via within‑session A/B tests. The document also lists open questions (regime‑dependent importance of MOI vs. COR, accuracy of Bahill’s population formulas, youth‑specific MOI exponent, sweet‑spot definition) and provides practical thresholds for decision‑making.

Topics

Swing Weight (MOI) as the Core Fitting Lever

Defines swing weight (I5) measured 6 in from the knob, explains pendulum measurement (ASTM F2398), contrasts MOI with scale weight and balance point, and shows how MOI directly governs bat speed and effective mass.

Flat Optimum of Bat Weight and Its Practical Implications

Presents Bahill’s bat‑speed‑vs‑weight curve, the concept of Ideal Bat Weight (1 % below peak BBS), and the resulting insensitivity of batted‑ball speed to weight within a broad range.

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