Showing 1 - 4 results of 4 for search '"All-rounder"', query time: 0.05s Refine Results
  1. 1

    Optimal body mass normalization of power output for accurate prediction of estimated cycling performance over complex time-trial courses by Marton Horvath, Erik P. Andersson

    Published 2025-08-01
    “…Thus, the study aimed to enable accurate prediction of cycling performance based on estimated mean power output over complex time-trial courses.MethodsTime-trial performances of five elite-level road cyclist profiles—a sprinter, climber, all-rounder, general classification (GC) contender, and a time trialist—were estimated using the power-duration relationship and previously published normative data. …”
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  2. 2

    Impact of circuit training on total distance covered and VO2 max in national-level women cricket players of Bangladesh by Farjana Akter Boby, Nirmal Michael Salvi, Md. Zafiroul Islam, Wilson Vinu, Bekir Erhan Orhan, Robert Citozi, Ibnu Noufal Kambitta Valappil, Karuppasamy Govindasamy, Debajit Karmakar, Vlad Adrian Geantă

    Published 2025-06-01
    “…Thirty players were randomly selected from different playing positions (batters, bowlers, and all-rounders) and underwent a pre-and post-test design with no control group. …”
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  3. 3

    Understanding generational differences in digital skills and recreational behaviour for effective visitor management in forest destinations by Fruzsina Stefán, Mariusz Ciesielski, Andreas Weber, Kamil Choromański, Dariusz Gotlib, Karolina Taczanowska

    Published 2025-05-01
    “…Based on an online panel survey conducted in the Vienna metropolitan area (n = 3,121), we identified four distinct visitor profiles using Self-Organizing Maps: All-rounders (49.6%), Traditional Planners and Navigators (17.2%), Tech-Savvy Navigators (14.5%), and Balanced Adapters (18.7%). …”
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  4. 4

    Enhancing Youth Cricket Performance: Insights From Field-Based Assessments of Strength, Endurance, and Agility by Basavaraj Motimath, Mansoor Pasha A

    Published 2024-09-01
    “…Statistical analyses provided insights into their fitness levels across different player categories (batsmen, bowlers, all-rounders, and wicketkeepers). Results: Significant variations in fitness levels were observed among player categories, with wall squat endurance being the most notable area for improvement, as the mean performance was 51.54 ± 20.79 seconds. …”
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