I will build a sports analytics dashboard or predictive model

Have sports data and a question it should answer? I turn raw sports data into clear findings, interactive dashboards and tested predictive models, all built in Python.

CASE STUDY: ArmWatch analyzed 4.3 million MLB pitches and flagged pitcher arm-injury risk a median of 19 days before the injured list. It was tested on a full season the model never saw. That’s the standard I bring to your project.

WHAT I CAN DO

– Player performance, workload and trend analysis

– Predictive models for injury risk, outcomes or player value

– Interactive dashboards with filters and hover details, in one file that runs in any browser

– Data cleaning from CSV, Excel, APIs or public sports data

SPORTS: baseball, soccer, basketball, American football, cricket, tennis and more.

YOU GET

– Charts and a plain-English summary

– Clean, commented Python code

– The dashboard file and cleaned data