Modeling and Simulation of Baseball Sweet Spot
Wen Shi, Yuan Biao Zhang, Tao Zhang, Jian Shun Li, Ke Shi
Abstract
Wen Shi, Yuan Biao Zhang, Tao Zhang, Jian Shun Li, Ke Shi
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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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