Business Problem — IPL Sports Analytics¶
Company Context¶
PlayPredict is a fantasy cricket platform with 2 million users. During the IPL season, users build virtual teams of real players and earn points based on real-match performance. Users who win consistently stay engaged and spend more; users who lose churn.
The problem: Most casual users pick players based on fame, not form. They lose, get frustrated, and leave. PlayPredict wants to build an "analytics insights" feature that gives users data-driven guidance — without making them statisticians.
You've been asked to analyse historical IPL data and build the analytics engine behind features like "Player Form Index," "Matchup Advantage," and "Venue Specialist."
Business Questions to Answer¶
Q1 — Player Performance (Batting)¶
- Who are the top run-scorers of all time?
- Who has the best strike rate (minimum 500 balls faced)?
- Which batsmen perform best in the death overs (overs 16-20)?
- Who is most consistent (high average, low variance)?
Q2 — Player Performance (Bowling)¶
- Who has the best economy rate (minimum 1000 balls bowled)?
- Who takes wickets most frequently (best strike rate)?
- Which bowlers are most effective in the powerplay (overs 1-6)?
Q3 — Team Performance¶
- Which teams have the best overall win rate?
- Does winning the toss improve win probability?
- Should you bat or field first after winning the toss?
- Which teams are best at defending vs chasing?
Q4 — Situational and Venue Analysis¶
- Which venues have the highest average scores (batting-friendly)?
- What is a "par score" at each major venue?
- Do certain teams have a strong home advantage?
Q5 — Fantasy Recommendations¶
- Which players offer the best "points per match" value?
- Which player matchups (batsman vs bowler) are most lopsided?
Success Metrics¶
| Metric | Goal |
|---|---|
| User win rate with insights | Improve by 15% |
| Feature engagement | 40% of active users use insights weekly |
| Retention during season | Reduce churn by 10% |
Stakeholders¶
| Stakeholder | Wants |
|---|---|
| Product Manager | Engaging, accurate insights features |
| Casual Users | Simple, trustworthy player recommendations |
| Power Users | Deep stats: matchups, venue splits, form trends |
| Marketing | Shareable stats for social media |