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Shane Liyanage

Data analyst from Data Driven Sports Analytics, providing analytical services to tennis players. Works with players such as Ons Jabeur, Aryna Sabalenka and Emil Ruusuvuori.

Top 3 podcasts with Shane Liyanage

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18 snips
Jun 27, 2022 • 32min

The Importance of data analytics for tennis players with Shane Liyanage [Ep.155]

Shane Liyanage, a data analyst from Data Driven Sports Analytics, has worked with top tennis players like Ons Jabeur and Aryna Sabalenka. He shares insights on how analytics is transforming tennis, emphasizing customized strategies for individual players. Shane discusses the collaboration between data engineers and coaches to make data actionable and enhance performance. He also explains flexible pricing models for his services. Lastly, he reflects on recent gameplay evolution and predicts outcomes for the upcoming Wimbledon.
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Jan 30, 2024 • 31min

Aryna Sabalenka Data Analyst Shane Liyanage: We learned from US Open loss to turn around Coco Gauff match

Shane Liyanage, a data analyst for top WTA players, shares insights from his experiences with Aryna Sabalenka and Ons Jabeur. He discusses the lessons learned from their US Open loss that transformed their approach against Coco Gauff in Melbourne. Shane dives into the importance of real-time data sharing and tactical adjustments during matches. He also highlights the emotional dynamics of player performance, including their development and resilience over the past two years, promising exciting futures for his star players.
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Feb 12, 2023 • 1h 2min

#227: How to be a Performance Analyst for Pro Tennis Players with Shane Liyanage

Shane Liyanage, founder of Data-Driven Sports Analytics, shares his intriguing journey from a law career to working with elite tennis players like Aryna Sabalenka. He discusses key tennis metrics, emphasizing the importance of shot sequences and tailored game plans. Shane details his unique analyst-coach collaboration and reveals how pressure points influence live coaching decisions. He also shares essential productivity habits and highlights the tools of the trade, including Python and VR applications, that aspiring analysts should master.

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