Tanisha Kalra
Featured project
IPL - Match Analytics & Strategic Intelligence Report
Franchise management and coaching staff required evidence-based tactical frameworks for the Indian Premier League (IPL) rather than relying on traditional cricketing narratives. The core business need was to definitively answer critical strategic questions regarding toss impact, optimal Powerplay batting, phase management, and home venue dominance to maximize match-winning probability across a highly competitive 17-season landscape. Process I conducted a comprehensive analytical study using Power BI to build an interactive match intelligence dashboard, referencing historical tournament data from over 1,000 fixtures across 17 seasons (2008–2025). Using the framework, I modeled and segmented data to isolate specific match variables—such as toss outcomes, batting first versus fielding first, and phase-by-phase scoring (Powerplay, Middle Overs, Death Overs). By creating custom logic within the Power BI environment, I categorized distinct tactical approaches, such as evaluating the win rates of Aggressive versus Conservative Powerplay profiles and mapping home venue advantage trends across different franchises. Results The Power BI dashboard analyzed 1,000+ matches, revealing that dominating death overs (60+ runs) is the top predictor of victory with a 67% win rate. Aggressive Powerplay strategies (55+ runs, even losing 2+ wickets) secure a 61.4% win rate, vastly outperforming conservative approaches (44.7%). Furthermore, the analysis debunked the toss advantage myth; toss winners only win 51.5% of the time. Reflection Modeled Intent Over Basic Stats: Instead of just reporting run totals, I built logical profiles (Aggressive, Balanced, Conservative, Reckless) to measure which tactical behavior actually wins matches. Isolated Match Phases: I segmented data from over 1,000 matches into specific battlegrounds to mathematically prove the Death Overs (16–20) are the ultimate deciding factor. Exposed Hidden Anomalies: I went beyond surface-level narratives to quantify hidden realities, such as debunking the toss advantage myth and highlighting negative home-field effects.