SP / BUILD LOGCODE · DATA · SYSTEMS

A DEVELOPER IN THE MAKING / KOLKATA, INDIA

Sayan Paul.

BUILD · DEBUG · DOCUMENT

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PROJECT / 07BUILD · DEBUG · REFINE

IPL Match Outcome Predictor.

A machine learning system that predicts IPL match winners using ball-by-ball data, historical performance patterns, and venue statistics. It includes single-match predictions and tournament simulations through a Flask-powered interface.

PROJECT NOTE · 2025AI / MACHINE LEARNING · 2025
T20 / OUTCOME MODEL
RCBVSCSK
WIN PROBABILITY68 / 32

BALL BY BALL · VENUE SIGNAL

01 / THE PROBLEM

Making match predictions more than a team-name guess.

The system combines match context, venue signals, and historical patterns to estimate outcomes. The interface supports a single prediction flow and a wider tournament-simulation view.

02 / DESIGN DECISIONS

Historical signals

Use ball-by-ball data and team performance patterns as model inputs.

Venue context

Keep venue-specific factors visible as part of the prediction context.

Flask interface

Make the model accessible through a lightweight web flow.

Simulation

Extend one-match predictions into a tournament-level what-if workflow.

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