I will build a custom sports probability model with monte carlo simulation

United States

I speak English

Sports Data Scientist and Monte Carlo Simulation

I build statistical probability models for sports: real Monte Carlo season simulations and a Dixon-Coles bivariate Poisson model for match-level soccer, not AI-generated guesses. Eight of these models...
About this Gig

I build statistical probability models for sports, not AI-generated guesses or "expert picks." Real Monte Carlo season simulations, plus a Dixon-Coles bivariate Poisson model for match-level soccer. Eight of these models are already live and monetized on Apify: soccer across 16 leagues, MLB, NFL, NHL, NBA, tennis (ATP/WTA), a per-match soccer model, and an MCP server that plugs them into AI agents like Claude and ChatGPT. See them running before you hire me: apify.com/commodus67.


Every model runs thousands of simulated seasons (or re-simulates a tennis match live, set by set) and returns real probabilities: moneyline, spread, totals, series odds. Then it's checked against live market prices from Kalshi to flag where the model and the market disagree. That price comparison is the real product, not just a number.


I can build a new sport or league on the same proven engine, do a one-off read with an existing model, or a fully custom, private model or live API that's yours alone. I work in Python and deliver documented, readable code.


Data and models, not tips. Let's talk about what you're trying to predict.

Domain:

Machine Learning

•

Time Series Analysis

Expertise:

Classification

•

Clustering

•

Ranking

•

Predictive analysis

Programming language:

Python

•

SQL

Tools:

Jupyter Notebook

•

Excel

Technology:

Python

•

scikit-learn

Models & methods:

Machine Learning

•

Learning to rank

My Portfolio