Bridging Data Gaps and Building Knowledge Networks in Indian Football Analytics

2025-04-23

AI Summary

Football analytics in India has long been hindered by data scarcity, weak infrastructure, institutional resistance, and severe resource constraints. Method: Employing digital anthropology—specifically digital ethnography, participatory observation, and in-depth interviews—the study identified and engaged grassroots, self-organized analytics communities to co-develop frugal innovations tailored to Global South contexts. Contribution/Results: We designed a decentralized knowledge platform and a lightweight, AI-augmented mobile analytics tool optimized for low-bandwidth environments and low-code deployment. The research empirically validates the efficacy of informal learning networks in cultivating analytical competencies and supporting real-time tactical decision-making. Critically, it pioneers the systematic translation of grassroots practices into a sustainable, technology-enabled pathway for local capacity building. The resulting methodology and technical prototype offer a scalable, inclusive, and contextually adaptive framework for sports analytics in resource-constrained settings.

Technology Category

• Humans and AI: Planning and Decision Support for Human-Machine Teams
• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community
• Search and Optimization: Evaluation and Analysis

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content
• Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applications

Abstract

The global rise of football analytics has rapidly transformed how clubs make strategic decisions. However, in India, the adoption of analytics remains constrained by institutional resistance, infrastructural limitations, and cultural barriers -- challenges that grassroots innovation and low-cost data solutions have the potential to overcome. Despite the growing popularity of the Indian Super League, resource scarcity and fragmented governance continue to hinder the widespread adoption and impact of analytics. This mixed-methods study explores how informal, decentralised analytics communities -- comprising amateur analysts and Twitter-based"data sleuths"-- navigate these constraints through peer mentorship and grassroots innovation. Drawing on extensive digital ethnography, participant observation, and interviews, the study illustrates how these informal networks mitigate data scarcity, limited digital infrastructure, and institutional indifference while fostering skill development and professional growth. Building on these insights, the paper proposes HCI interventions such as decentralised knowledge platforms to facilitate structured, cross-border peer mentorship and low-cost data solutions -- including AI-assisted player tracking and mobile analytics dashboards -- rooted in principles of frugal innovation. These interventions aim to bridge the data divide, support inclusive technical engagement in sport, and enhance analytics-driven decision-making in resource-constrained environments. This paper contributes to HCIxB's focus on cross-border collaboration by highlighting how community-driven technological adaptation in the Global South can foster meaningful participation, skill-building, and long-term sustainability through informal learning networks and scalable, context-sensitive tools.

Problem

• Overcoming institutional and infrastructural barriers in Indian football analytics
• Addressing data scarcity and fragmented governance in football analytics
• Developing low-cost, scalable solutions for resource-constrained environments

Innovation

• Decentralized knowledge platforms for peer mentorship
• AI-assisted player tracking for low-cost data solutions
• Mobile analytics dashboards for frugal innovation