Quantifying individual performance in Cricket $-$ A network analysis of Batsmen and Bowlers
Satyam Mukherjee

TL;DR
This paper introduces a network analysis approach to quantify the quality of individual cricket performances, considering the strength of opponents and contextual factors, beyond traditional averages.
Contribution
It presents a novel method using social network analysis to evaluate cricket players' performance based on player-vs-player interactions and dismissal records.
Findings
M Muralitharan identified as the most successful bowler in cricket history.
Network-based metrics provide a more nuanced performance assessment.
Method can be applied to domestic matches for better team selection.
Abstract
Quantifying individual performance in the game of Cricket is critical for team selection in International matches. The number runs scored by batsmen and wickets taken by bowlers serves as a natural way of quantifying the performance of a cricketer. Traditionally the batsmen and bowlers are rated on their batting or bowling average respectively. However in a game like Cricket it is always important the manner in which one scores the runs or claims a wicket. Scoring runs against a strong bowling line-up or delivering a brilliant performance against a team with strong batting line-up deserves more credit. A player's average is not able to capture this aspect of the game. In this paper we present a refined method to quantify the `quality' of runs scored by a batsman or wickets taken by a bowler. We explore the application of Social Network Analysis (SNA) to rate the players in a team…
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Taxonomy
TopicsSports Analytics and Performance · Complex Network Analysis Techniques · Sports, Gender, and Society
