Using Physics Simulations to Find Targeting Strategies in Competitive Bowling

TL;DR

This paper introduces a simulation-based method to identify optimal bowling targeting strategies by modeling ball physics and analyzing how imperfections and oil patterns influence strike success.

Contribution

It presents a novel simulation approach using differential equations to determine effective targeting strategies in competitive bowling.

Findings

Simulation identifies optimal initial conditions for strikes.

Imperfect bowler models reveal strategies that exploit oil pattern inhomogeneity.

Targeting strategies can significantly increase strike rates.

Abstract

This article demonstrates a new approach to finding ideal bowling targeting strategies through computer simulation. To model bowling ball behaviour, a system of five coupled differential equations is derived using Euler equations for rigid body rotations. We used a computer program to demonstrate the phases of ball motion and output a plot that displays the optimum initial conditions that can lead to a strike. When the bowler is modeled to be imperfect, it is shown that some targeting strategies can lead to higher strike rates due to the miss room created by the inhomogeneity of the oil pattern.