🌍🏏 Building a Dream XI with Data Insights! 🌏🏏 I’ve taken my passion for cricket and combined it with my data analysis skills to create a Power BI dashboard that helped me select a diverse and well-balanced Dream XI. Here's how I structured the team and leveraged the dashboard for insights: Dashboard Highlights:
Batting Stats: Average, strike rate, centuries, and consistency in different match formats. Bowling Stats: Economy rate, strike rate, and wicket-taking ability across conditions.** Fielding Impact:** Catches, run-outs, and overall contribution in the field.
Visualized player distribution from different nations to ensure a truly global Dream XI. Match Scenarios: Analyzed player performances under pressure situations, like chasing or defending totals. Role-Based Filters: Segmented players into categories like openers, anchors, all-rounders, finishers, and bowlers for targeted selection. Form and Fitness Trends: Used recent performance data to pick players who are in peak form. Team Structure: Openers: Players who excel in powerplay conditions and can dominate from the start. Anchors: Reliable batsmen to guide the innings through tough patches. All-Rounders: Versatile contributors who strengthen both batting and bowling departments. Finishers: Explosive hitters to accelerate scoring in the death overs. Fast Bowlers: Seamers who bring pace, swing, and accuracy to dismantle batting lineups. This dashboard-based approach emphasizes how data-driven decisions can enhance team selection and strategy, reflecting the importance of analytics in modern sports. 🏏📊 Who would make your Dream XI? Let’s discuss! 🤔💬
