IPL DATA ANALYSIS (2008-2026)
Toss Winner has no advantage in Match Winning [51.49% Win & 49.5% Loss].
Mehul Balsara
Toss
51% -49%
Runs Difference
Powerplay & Middle Overs
Overview
Answer These Three Things Do teams that win the toss actually win more matches? Which phase — powerplay, middle overs, or death overs — is most linked to winning? Who are the top 5 batters and top 5 bowlers across 5 seasons?
What To Build Chart 1 — two bars showing win rate of toss winners vs toss losers Chart 2 — average runs per phase for winning teams vs losing teams Table — top 5 batters by runs, top 5 bowlers by wickets One sentence — something the data showed you that genuinely surprised you
Process IPL-CRUNCH-ANALYSIS
An advanced data analytics project exploring tournament dynamics, phase-by-phase scoring trends, and elite player performance metrics from 2022 to 2026 using ball-by-ball datasets.
📊 Core Insights Delivered Toss Advantage: Proved that winning the toss offers a neutral baseline (50.49% win rate). Phase Dominance: Identified that match margins are secured early in the Powerplay and Middle Overs. Elite Performers: Aggregated and ranked top 5 batters and bowlers over the last 5 seasons.
🛠️ Tech Stack Python (Pandas, NumPy) Matplotlib / Seaborn
Challenge Faced is found it difficult to fill the missing values of city.
Results IPL-CRUNCH-ANALYSIS
An advanced data analytics project exploring tournament dynamics, phase-by-phase scoring trends, and elite player performance metrics from 2022 to 2026 using ball-by-ball datasets.
📊 Core Insights Delivered Toss Advantage: Proved that winning the toss offers a neutral baseline (50.49% win rate). Phase Dominance: Identified that match margins are secured early in the Powerplay and Middle Overs. Elite Performers: Aggregated and ranked top 5 batters and bowlers over the last 5 seasons.
🛠️ Tech Stack Python (Pandas, NumPy) Matplotlib / Seaborn