2010Advanced materials researchOpen access

Modeling and Simulation of Baseball Sweet Spot

Wen Shi, Yuan Biao Zhang, Tao Zhang, Jian Shun Li, Ke Shi

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Abstract

Two aspects in "sweet spot" choosing are defined: the furthest batted-ball displacement and the highest fine-territory probability. A model to determine the "sweet spot" position on the bat is developed based on physical mechanics and probability theory. Combing contributions of velocity resolution and Fuzzy distribution, a global fair-territory probability is synthetically determined. Simulation result of the "sweet spot" shows that the "sweet spot" goes around 14 cm from the end of the bat.

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What this paper is about

Two aspects in "sweet spot" choosing are defined: the furthest batted-ball displacement and the highest fine-territory probability. A model to determine the "sweet spot" position on the bat is developed based on physical mechanics and probability theory. Combing contributions of velocity resolution and Fuzzy distribution, a global fair-territory probability is synthetically determined. Simulation result of the "sweet spot" shows that the "sweet spot" goes around 14 cm from the end of the bat.

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Available abstract

Two aspects in "sweet spot" choosing are defined: the furthest batted-ball displacement and the highest fine-territory probability. A model to determine the "sweet spot" position on the bat is developed based on physical mechanics and probability theory. Combing contributions of velocity resolution and Fuzzy distribution, a global fair-territory probability is synthetically determined. Simulation result of the "sweet spot" shows that the "sweet spot" goes around 14 cm from the end of the bat.

Key concepts: Sweet spot, Combing, Displacement (psychology), Probability distribution, Ball (mathematics), Position (finance), Mathematics, Engineering

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