Showing 1 - 12 results of 12 for search 'batting average (baseball)', query time: 0.23s Refine Results
  1. 1

    The Prediction of Batting Averages in Major League Baseball by Sarah R. Bailey, Jason Loeppky, Tim B. Swartz

    Published 2020-04-01
    “…The prediction of yearly batting averages in Major League Baseball is a notoriously difficult problem where standard errors using the well-known PECOTA (Player Empirical Comparison and Optimization Test Algorithm) system are roughly 20 points. …”
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    Article
  2. 2

    The effect of concussion on batting performance of major league baseball players by Chow BH, Stevenson AM, Burke JF, Adelman EE

    Published 2019-03-01
    “…The primary study outcome measurements were: traditional (eg, average), plate discipline (eg, swing-at-strike rate), and batted ball (eg, ground ball percentage) statistics. …”
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    Article
  3. 3

    High-performance vision training improves batting statistics for University of Cincinnati baseball players. by Joseph F Clark, James K Ellis, Johnny Bench, Jane Khoury, Pat Graman

    Published 2012-01-01
    “…Vision training as part of conditioning or injury prevention can be applied and may improve batting performance in college baseball players. High performance vision training can be instituted in the pre-season and maintained throughout the season to improve batting parameters.…”
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    Article
  4. 4

    Instructional Design for Accelerated Macrocognitive Expertise in the Baseball Workplace by Peter J. Fadde

    Published 2016-03-01
    “…While baseball batting has few analogous skills outside of sports, the instructional design principles of the training program developed to improve batting have wider applicability and implications. …”
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    Article
  5. 5

    Concussion rates and effects on player performance in Major League Baseball players by Sabesan VJ, Prey B, Smith R, Lombardo DJ, Borroto WJ, Whaley JD

    Published 2018-11-01
    “…For all position players, the batting average (BA) and on-base percentage (OBP) showed a nonsignificant decline after injury (P=0.756). …”
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    Article
  6. 6

    Combining Radar and Optical Sensor Data to Measure Player Value in Baseball by Glenn Healey

    Published 2020-12-01
    “…Evaluating a player’s talent level based on batted balls is one of the most important and difficult tasks facing baseball analysts. …”
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    Article
  7. 7

    Systematic Review of Traumatic Brain Injuries in Baseball and Softball: A Framework for Prevention by Michael D. Cusimano, Michael D. Cusimano, Alice Zhu

    Published 2017-10-01
    “…The classification of baseball and softball as low contact sports and their association with extremity injuries cause individuals to overlook the risk of TBI in baseball and softball.PurposeTo summarize our knowledge of the epidemiology and risk factors of TBIs associated with baseball and softball with an aim to better design and implement preventive strategies.MethodsA search algorithm containing keywords that were synonymous to the terms “TBI,” “baseball” was applied to the following nine databases: MEDLINE, Scopus, PubMed, EMBASE, CINAHL, Healthstar, PsychINFO, AMED, Cochrane library. …”
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    Article
  8. 8

    Behavioral Measures in a Cognitive-Motor Batting Task Explain Real Game Performance of Top Athletes by Daiki Nasu, Masumi Yamaguchi, Akemi Kobayashi, Naoki Saijo, Makio Kashino, Toshitaka Kimura

    Published 2020-05-01
    “…Excellent athletic performance in baseball and softball batting is achieved through the momentary cognitive-motor processes. …”
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    Article
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  10. 10

    Quantifying Grit in MLB Batters by Yang, Angel

    Published 2024
    “…Utilizing 2023 game data from the top 160 most utilized MLB batters, this study develops a Grit Score for each player based on the number of at-bats required to return to average performance after a period of below-average performance. …”
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    Thesis
  11. 11

    Pitch Sequence Complexity and Long-Term Pitcher Performance by Joel R. Bock

    Published 2015-03-01
    “…Winning one or two games during a Major League Baseball (MLB) season is often the difference between a team advancing to post-season play, or “waiting until next year”. …”
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    Article
  12. 12

    Enhancing Smart City Safety and Utilizing AI Expert Systems for Violence Detection by Pradeep Kumar, Guo-Liang Shih, Bo-Lin Guo, Siva Kumar Nagi, Yibeltal Chanie Manie, Cheng-Kai Yao, Michael Augustine Arockiyadoss, Peng-Chun Peng

    Published 2024-01-01
    “…The diffusion model generates synthetic data while the object detection approach uses YOLO v7 to identify violent objects like baseball bats, knives, and pistols, complemented by MediaPipe for action detection. …”
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    Article