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@article{194118,
        author = {P. Usha Manikyam and Ch. N. V. Satya Teja and B. Agastya and G. Vennela and B. Murali Manohar},
        title = {IPL Match Data Analysis: Team Performance and Winning Patterns},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {8023-8029},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194118},
        abstract = {The Indian Premier League (IPL) produces a large amount of structured match-level information each season, including team statistics, venue details, toss outcomes, and match results. Analysing such data provides an opportunity to understand performance patterns and competitive behaviour in T20 cricket. This study examines historical IPL match records using an exploratory data analysis (EDA) approach to identify factors influencing team performance and match outcomes. The analytical process involves systematic data preprocessing, statistical aggregation, and feature-based analysis to evaluate team consistency, venue-specific results, toss influence, and seasonal performance trends. The dataset contains more than one thousand match records collected from publicly available IPL data sources covering seasons from 2008 to 2019. The results show that long-term team win percentage and venue conditions play an important role in determining match outcomes, while toss decisions provide only a moderate advantage. To present the findings effectively, an interactive dashboard was developed using Python and Stream lit, enabling users to explore trends and contextual performance insights dynamically. The proposed framework demonstrates how descriptive data analytics and visualization techniques can support structured performance evaluation in professional cricket.},
        keywords = {Cricket Analytics, IPL, Data Analytics, Exploratory Data Analysis, Sports Analytics, Performance Analysis, Statistical Modelling},
        month = {March},
        }