Abstract

This dataset presents information pertaining to the spatiotemporal characteristics of Polo play from a 0 to 24-goal level. Data were collected by player worn GPS units, across a New Zealand Polo season. The dataset comprises observations from 466 chukkas of Polo, across mixed and women’s only Polo and is curated by cumulative player handicap. Data are presented for distance, speed and high intensity metrics, which have further categorised into five equine-based speed zones. The purpose of this dataset is to provide a detailed quantification of a range of Polo performance levels, advancing the scope and size of previous Polo literature that has employed GPS technology. This dataset may be of value to equine scientists and trainers, veterinary practitioners and sports scientists.

Highlights

  • This dataset presents information pertaining to the spatiotemporal characteristics of Polo play from a 0 to 24-goal level

  • The purpose of this dataset is to provide a detailed quantification of a range of Polo performance levels, advancing the scope and size of previous Polo literature that has employed Global positioning systems (GPS) technology

  • Players are awarded a handicap by the local Polo body between −2 and +10 goals [1]

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Summary

Summary

Polo is an equestrian based team sport, contested by two teams of four players on a 150 m × 275 m pitch. The current dataset was collected over the course of a New Zealand Polo season, across a full spectrum of handicap levels and incorporates results from mixed and women’s only Polo The purpose of this data collection was to curate a large and transparent dataset to provide detailed quantification of each level of Polo played. The ability of this dataset to differentiate the characteristics of play between mixed and women’s only Polo is a point of difference over previously published acute works [2,3,4]. The intention of this dataset is to identify differences in spatiotemporal characteristics between levels of Polo play, as ascertained by cumulative player handicap This could be useful to inform training demands and programs, but horse welfare and performance management strategies. We feel that by providing a large and anonymous dataset, these data may be of potential use in elevating the understanding and practices employed within New Zealand and global Polo, across all levels of play

Data Description
Methods

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