Bridging Intuition and Data: A Dynamic Framework for IPL Player Valuation

The Indian Premier League (IPL) is a professional Twenty20 cricket league. As part of the team formation for this league players are sold to teams through a competitive auction, often fetching high prices that may not reflect their performance—or surprisingly low ones despite their talent, for various factors. The auctions as of now, are conducted primarily based on intuition and on manual performance analysis. This paper proposes a comprehensive framework that transcends conventional performance indicators by integrating additional factors such as player fitness, availability, adaptability to different formats, social media influence, and global marketability. The objective is to address the lack of a robust player valuation model by systematically aligning team requirements with a player’s overall value. The proposed framework facilitates accurate monetary valuation of players both prior to and dynamically during the auction process, enhancing decision-making and fostering fairness in team formation.

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Published
2025-02-06
DOI
https://doi.org/10.1109/aide64228.2025.10986903
Primary Topic
Peer-to-Peer Network Technologies
Type
article
Field-Weighted Citation Impact
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article

Bridging Intuition and Data: A Dynamic Framework for IPL Player Valuation

R Chaitra Rao, Karthik Ram, Suresh Jamadagni, Jyotiraditya Jnanashekar et al.
Peer-to-Peer Network Technologies
article

Bridging Intuition and Data: A Dynamic Framework for IPL Player Valuation

R Chaitra Rao, Karthik Ram, Suresh Jamadagni, Jyotiraditya Jnanashekar, Rashi Nikhil Bandi
article en

Abstract

The Indian Premier League (IPL) is a professional Twenty20 cricket league. As part of the team formation for this league players are sold to teams through a competitive auction, often fetching high prices that may not reflect their performance—or surprisingly low ones despite their talent, for various factors. The auctions as of now, are conducted primarily based on intuition and on manual performance analysis. This paper proposes a comprehensive framework that transcends conventional performance indicators by integrating additional factors such as player fitness, availability, adaptability to different formats, social media influence, and global marketability. The objective is to address the lack of a robust player valuation model by systematically aligning team requirements with a player’s overall value. The proposed framework facilitates accurate monetary valuation of players both prior to and dynamically during the auction process, enhancing decision-making and fostering fairness in team formation.

PES University (IN)
Openalex Percentile: Top 90%
Peer-to-Peer Network Technologies
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Bridging Intuition and Data: A Dynamic Framework for IPL Player Valuation — R Chaitra Rao, Karthik Ram, et al. · (2025) | TGRS Research Map | TGRS