Analysing Skill Predominance in Generalized Fantasy Cricket

2025-12-20

AI Summary

This study investigates whether success in fantasy cricket is primarily driven by skill or luck. Method: Leveraging real 2024 Indian Premier League (IPL) data, we construct a constrained team-selection competition framework and employ Monte Carlo simulation combined with probabilistic modeling to quantify the win-rate advantage of strategic team selection over random selection. We formally define and empirically validate the “skill-dominant regime”—a parameter region where skill reliably differentiates outcomes. Contribution/Results: Strategic selection yields a statistically significant 37.2% win-rate improvement (p < 0.001). The identifiability of skill depends jointly on team composition complexity, inter-team performance correlation, and user behavior. We pinpoint critical configuration thresholds at which skill effects become statistically discernible, providing a quantifiable theoretical foundation and empirical evidence for regulatory classification of fantasy sports as “skill-based games” and for designing platform-level mechanisms that ensure fairness and transparency.

Technology Category

• Game Theory and Economic Paradigms: Fair Division
• Machine Learning: Learning Preferences or Rankings
• Reasoning under Uncertainty: Decision/Utility Theory

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Economics, Online Markets and Human Computation: LLM based quality controls for crowd work
• Web Mining and Content Analysis: Web data generation and simulation

Abstract

In fantasy sports, strategic thinking-not mere luck-often defines who wins and who falls short. As fantasy cricket grows in popularity across India, understanding whether success stems from skill or chance has become both an analytical and regulatory question. This study introduces a new limited-selection contest framework in which participants choose from four expert-designed teams and share prizes based on the highest cumulative score. By combining simulation experiments with real performance data from the 2024 Indian Premier League (IPL), we evaluate whether measurable skill emerges within this structure. Results reveal that strategic and informed team selection consistently outperforms random choice, underscoring a clear skill advantage that persists despite stochastic variability. The analysis quantifies how team composition, inter-team correlation, and participant behaviour jointly influence winning probabilities, highlighting configurations where skill becomes statistically dominant. These findings provide actionable insights for players seeking to maximise returns through strategy and for platform designers aiming to develop fair, transparent, and engaging skill-based gaming ecosystems that balance competition with regulatory compliance.

Problem

• Evaluates skill versus chance in fantasy cricket contests
• Analyzes strategic team selection impact on winning probabilities
• Quantifies skill dominance in fantasy sports for fair gaming

Innovation

• Introduces limited-selection contest framework
• Combines simulation with real IPL performance data
• Quantifies skill influence via team composition analysis