Justin Orenduff

Justin Orenduff

Richmond, Virginia, United States
3K followers 500+ connections

About

My passion is to make pitchers better at every level of baseball and build long…

Articles by Justin

Activity

Experience

  • DVS Baseball Graphic

    DVS Baseball

    Madison Heights, Michigan, United States

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    Utica, MI

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    Utica, MI

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    Hillsborough, NC

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    Hillsborough, NC

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Education

  • Gray Institute

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    Activities and Societies: Member of George Washington University Baseball Team

Volunteer Experience

  • GLEN ALLEN YOUTH ATHLETIC ASSOCIATION Graphic

    Director of Baseball Operations

    GLEN ALLEN YOUTH ATHLETIC ASSOCIATION

    - Present 1 year 7 months

    Education

    My goal will be to empower Glen Allen Youth Athletic Association with the latest technology, knowledge, and experts to assist in providing the best opportunities for all players, regardless of skill or financial situation, and to build a foundation of skills in a culture that fosters teaching, respect, and joy for the game of baseball.

Publications

  • Predicting Injury in Professional Baseball Pitchers From Delivery Mechanics: A Statistical Model Using Quantitative Video Analysis

    Orthopedics

    Baseball pitching imposes significant stress on the upper extremity and can lead to injury. Many studies have attempted to predict injury through pitching mechanics, most of which have used laboratory setups that are often not practical for population-based analysis. This study sought to predict injury risk in professional baseball pitchers using a statistical model based on video analysis evaluating delivery mechanics in a large population. Career data were collected and video analysis was…

    Baseball pitching imposes significant stress on the upper extremity and can lead to injury. Many studies have attempted to predict injury through pitching mechanics, most of which have used laboratory setups that are often not practical for population-based analysis. This study sought to predict injury risk in professional baseball pitchers using a statistical model based on video analysis evaluating delivery mechanics in a large population. Career data were collected and video analysis was performed on a random sample of former and current professional pitchers. Delivery mechanics were analyzed using 6 categories: mass and momentum, arm swing, posture, position at foot strike, path of arm acceleration, and finish. Effects of demographics and delivery scores on injury were determined using a survival analysis, and model validity was assessed. A total of 449 professional pitchers were analyzed. Risk of injury significantly increased with later birth date, role as reliever vs starter, and previous major injury. Risk of injury significantly decreased with increase in overall delivery score (7.8%) and independently with increase in score of the mass and momentum (16.5%), arm swing (12.0%), and position at foot strike (22.8%) categories. The accuracy of the model in predicting injury was significantly better when including total delivery score compared with demographic factors alone. This study presents a model that evaluates delivery mechanics and predicts injury risk of professional pitchers based on video analysis and demographic variables. This model can be used to assess injury risk of professional pitchers and can be potentially expanded to assess injury risk in pitchers at other levels.

    See publication

Honors & Awards

  • 40 Under 40

    Crains Detroit

  • 33rd Overall Pick in 2004 MLB Draft

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  • Member of 2003 USA National Team

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Languages

  • English

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