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RotoPlug

A professional-grade NBA DFS research and lineup optimization platform powered by 11 machine learning models and a 15-stage data pipeline.

Visit rotoplug.com Timeline: 6 months (ongoing)
RotoPlug NBA DFS player pool dashboard
RotoPlug injury impact analysis RotoPlug WOWY analysis

The Client

Internal product -- a professional-grade NBA DFS research and lineup optimization platform.

The Challenge

Existing DFS tools lacked depth. Manual research took hours, projections were inaccurate, and lineup optimization was tedious. Needed a unified platform combining ML-powered projections, real-time injury cascades, and ILP-based lineup construction.

The Solution

Built a full-stack analytics platform with 11 XGBoost ML models, a 15-stage data pipeline processing 2.2M+ rows, and an ILP optimizer that generates 20 optimized lineups in under 3 seconds. React web app with 13 pages covers player analysis, matchups, injuries, simulation, and WOWY analysis.

Tech Stack

ReactTypeScriptPythonFastAPIXGBoostTailwind CSSDockerPuLP/CBC

Results

11

ML Models in production

2.2M+

Historical rows processed

< 3s

For 20 optimized lineups

68s

Full pipeline execution

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