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Sports Technology Volume 7, 2014 - Issue 1-2: Cricket Technology
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Research Articles

Prediction of successful performance from fielding indicators in cricket: Champions League T20 tournament

Rachel ScholesAcademy of Sport and Physical Activity, Sheffield Hallam University, Sheffield, South Yorkshire, EnglandCorrespondence[email protected]
&
Mohsen ShafizadehAcademy of Sport and Physical Activity, Sheffield Hallam University, Sheffield, South Yorkshire, England
Pages 62-68 | Received 02 Aug 2013, Accepted 04 Feb 2014, Published online: 15 Apr 2014

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Read on this site (1)

Nimai Parmar, Nic James, Mike Hughes, Huw Jones & Gary Hearne. (2017) Team performance indicators that predict match outcome and points difference in professional rugby league. International Journal of Performance Analysis in Sport 17:6, pages 1044-1056.
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Articles from other publishers (3)

Aaron B Hoskins. (2023) Calculating expected win percentage of an Indian Premier League team. International Journal of Sports Science & Coaching, pages 174795412311569.
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Julian Lim, Sing Wong, Stuart A. McErlain-Naylor, Aaron Scanlan, Luke Goggins, Rob Ahmun, Paul Comfort & Anthony Weldon. (2022) Strength and Conditioning for Cricket Fielding: A Narrative Review. Strength & Conditioning Journal Publish Ahead of Print.
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Vidisha & Vandana Bhatia. (2020) A review of Machine Learning based Recommendation approaches for cricket. A review of Machine Learning based Recommendation approaches for cricket.

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