IPL Fantasy Gaming Platform

IPL Fantasy Gaming Platform

BCCI wanted fantasy to become an active layer of the IPL viewing experience, not a side product used only by experienced players. The platform had to work for fans checking lineups casually and for users who expected fast live-match interactions with zero tolerance for lag.

That meant product design, real-time engineering, and recommendation quality all had to work together. A good-looking app without live performance would fail; fast scores without approachable team-building would still leave casual fans behind.

Business Context

The existing market experience was fragmented. Slow score updates broke trust during live matches, while many fantasy flows assumed users already understood complex combinations, captain strategies, and player trade-offs.

BCCI needed a product that could support large traffic spikes around toss and match events while still making team creation feel accessible and rewarding.

BCCI wanted to deepen fan engagement beyond passive viewing. Existing fantasy platforms had poor UX, slow updates during live matches, and no intelligent assistance for casual fans.

How We Approached the Build

Discovery and workflow mapping

We mapped the full match-day lifecycle from pre-toss research to live scoring and post-match retention, then prioritized the interactions where speed and guidance would have the biggest effect on user engagement.

Architecture and product design

The product architecture centered on real-time score propagation, fast session handling, and a mobile-first fantasy journey. The underlying services were designed to keep lineup state, scoring updates, and league activity responsive even during peak concurrency windows.

Delivery and integration

We focused the build on the fantasy loop itself: make team creation simpler, make live data feel instantaneous, and give users more reasons to return during and between matches.

What We Implemented

The implementation brought together the product modules that most directly shaped fan engagement:

• A lineup builder that reduced friction for team creation and made decision-making easier before deadlines closed.
• A live fantasy match center with fast score and standing updates so users could stay inside the experience during play.
• Recommendation support that helped users evaluate combinations instead of guessing blindly.
• Social and league mechanics that turned match participation into a recurring habit rather than a one-off session.

AI and automation layer

Recommendation logic was designed to support, not replace, the fantasy decision. It used player form, opposition context, pitch conditions, and historical patterns to suggest stronger combinations while still leaving room for user choice.

That balance mattered because the product needed to help casual fans without flattening the strategy that keeps core users engaged.

Stack and engineering decisions

The implementation used Node.js, React Native, Redis, PostgreSQL, ML Models, and WebSockets across the experience, service, data, intelligence, and integration layers.

• Experience & channels: React Native and WebSockets
• Core services & data: Node.js, Redis, and PostgreSQL
• AI/ML & automation: ML Models

Rollout and measurable outcomes

The delivery was hardened around live traffic behavior: concurrency testing, latency tuning, and score propagation monitoring were treated as core product work before major fixtures, not post-launch cleanup.

• Active Users: 1M+
• Match Engagement: 10x
• User Retention: 72%
• Concurrent Users: 100K+

Why This Delivered Business Value

The final product worked because it connected engagement design with real-time reliability. Fans were not only given more to do during matches; they were given a platform responsive enough to keep them there.

Taken together, the engagement delivered 1M+ active users, 10x engagement increase during matches by aligning product experience, workflow design, and implementation detail around the same business objective.