betting-analysis

Fetch sport odds and run Monte Carlo simulations to compute Kelly-optimal stakes.

Updated Apr 28, 2026

Search Tags:#betting #monte-carlo #odds #kelly-criterion #bankroll #simulations

Ready to run

npx skills add https://github.com/ncsound919/deterministic-brain --skill betting-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: betting-analysis
Source: https://github.com/ncsound919/deterministic-brain/tree/main/skill_packs/business/betting-analysis
Command: npx skills add https://github.com/ncsound919/deterministic-brain --skill betting-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a reproducible framework to evaluate sports bets by fetching odds, running Monte Carlo simulations, and delivering a Kelly-optimal recommendation, saving time and reducing emotional bias.

Core Features & Use Cases

Odds retrieval: fetch current odds for the specified sport to establish input data.
Monte Carlo Simulation: run simulations with configurable bankroll and iterations to estimate expected value and risk.
Kelly Criterion: compute optimal stake per bet using the Kelly formula and implied probabilities.
Use Case: a bettor wants to compare multiple bets across games and obtain a recommended bet size and expected value.

Quick Start

Ask the skill to fetch odds for NBA, run a Monte Carlo with bankroll 1000 and 5000 simulations, and return a Kelly-optimal recommendation.

Frequently Asked Questions about betting-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate Kelly-optimal bet sizes for sports odds?▼

Monte Carlo betting analysis simulates thousands of game outcomes to estimate expected value and variance, providing a statistical basis for identifying profitable betting opportunities and reducing emotional bias in wagering decisions.

How do I run Monte Carlo simulations to evaluate my bankroll risk?▼

You can run Monte Carlo simulations to evaluate bankroll risk by specifying your total bankroll and desired iteration count, which generates probability distributions of returns to compute risk-adjusted outcomes for each bet.

Can I compare multiple betting opportunities across different games?▼

The skill uses Monte Carlo simulations to evaluate bets because it accounts for variance and probability distributions across thousands of iterations, delivering a more robust risk-adjusted return estimate than static odds comparison alone.

What bankroll and simulation parameters do I need to set for Monte Carlo betting analysis?▼

For Monte Carlo betting analysis, you need to set your total bankroll amount and the number of simulation iterations, which directly influence the accuracy of the expected value calculation and the resulting Kelly-optimal stake.