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Individual and team performance in cricket.

Onkar Sadekar1, Sandeep Chowdhary1, M S Santhanam2

  • 1Department of Network and Data Science, Central European University, Vienna 1100, Austria.

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|July 18, 2024
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Summary
This summary is machine-generated.

This study analyzes One-Day International cricket performance, revealing that individual success peaks can occur anytime and team wins/losses happen in streaks. Early data predicts long-term player performance, highlighting the interplay between individual skills and team dynamics for collective success.

Keywords:
cricketscience of successsports analyticsteam science

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Area of Science:

  • Sports Science
  • Data Analytics
  • Human Performance

Background:

  • Technological advancements enable large-scale, fine-grained data collection in sports.
  • This data revolutionizes the analysis of human performance.
  • One-Day International cricket is a globally popular sport with rich performance data.

Purpose of the Study:

  • To provide the first comprehensive analysis of individual and team performance in One-Day International cricket.
  • To investigate temporal patterns of individual success and career trajectories.
  • To understand the dynamics of team winning/losing streaks and the impact of player roles and captaincy.

Main Methods:

  • Quantitative analysis of individual player performance data.
  • Temporal pattern analysis to identify career peaks and performance prediction.
  • Statistical analysis of winning streaks and player contribution metrics.
  • Comparative analysis of player performance before and after assuming captaincy.

Main Results:

  • Individual best performances can occur at any career stage, often preceded by a cluster of high-performance games.
  • Long-term player performance is predictable from early career data.
  • Player exclusions are linked to performance decline but also to subsequent comebacks.
  • Teams exhibit consecutive winning and losing streaks.
  • Team success requires balanced contributions from various specialist roles (openers, all-rounders, wicket-keepers).
  • Captaincy enhances batsmen's performance but not bowlers'.

Conclusions:

  • Individual performance patterns and team dynamics are interconnected, significantly influencing collective outcomes in cricket.
  • Data-driven insights can optimize player development, team strategy, and performance prediction.
  • Understanding these complex interactions is crucial for maximizing team success in professional sports.