About ProPlotFits

Building Better Betting Tools Through Data Science

A Solplots Enterprise

ProPlotFits is part of the Solplots family of data analytics products.

The Project

ProPlotFits is an open-source NCAA basketball analytics platform that combines machine learning with sports betting intelligence. We’re building tools to help bettors make smarter, data-driven decisions.

Mission: Democratize access to high-quality sports analytics and betting insights.

Approach: Transparent, reproducible, continuously improving models.

Status: Public beta (January 2026)

Why “ProPlotFits”?

The name combines:

  • Pro - Professional-grade analytics
  • Plot - Data visualization and statistical modeling
  • Fits - Model fitting and predictions

Plus, it sounds like “profits” 😉

The Team

ProPlotFits is built and maintained by sports analytics enthusiasts who believe in:

  • Open source development - All code is public on GitHub (coming)
  • Transparent methodology - No black boxes
  • Responsible betting education - Data-driven, not emotion-driven
  • Continuous improvement - Models evolve with feedback

Technology Stack

Data Collection:

  • hoopR - NCAA basketball data
  • The Odds API - Real-time sportsbook odds
  • KenPom.com - Advanced metrics (v2.0)

Modeling:

  • R (data processing, modeling)
  • tidyverse, caret, randomForest, gbm
  • Python (future deep learning experiments)

Website:

  • Quarto - Publishing system
  • GitHub Pages - Free hosting
  • Fully reproducible builds

Development Roadmap

Phase 1: Beta Launch ✅ (January 2026)

  • Build data pipeline
  • Train initial models (GBM, RF, GLM)
  • Multi-sportsbook odds integration
  • Launch website with daily picks
  • Track live performance (ongoing)

Phase 2: Enhancement (February-March 2026)

  • Integrate KenPom adjusted metrics
  • Add injury data scraping
  • Build performance dashboard
  • Test XGBoost and neural network models
  • Implement Spanish translations

Phase 3: Community Growth (Spring 2026)

  • User accounts and tracking
  • Social betting insights
  • Discord community
  • API for developers
  • Mobile app

Open Source

GitHub Repository: Coming Soon

All code, models, and data pipelines are open source under MIT License.

Contributions welcome:

  • Model improvements
  • Feature suggestions
  • Bug reports
  • Documentation
  • Spanish translations

Check out our Issues page to get involved!

Philosophy

Why We’re Different

1. Transparency Over Hype

We show you exactly how our models work, what they’re good at, and where they fail. No “secret sauce” or inflated win rates.

2. Education Over Gambling

We want you to understand sports analytics, not just blindly follow picks. Learn how to think about betting value.

3. Long-Term Edge Over Short-Term Results

Any model can get lucky for a few games. We focus on process and edge, not flashy win streaks.

4. Community Over Competition

Sports betting is not zero-sum between bettors. We’re all fighting the vig, not each other. Let’s share knowledge.

Disclaimer

ProPlotFits is a research and educational project.

  • We are not a licensed gambling service
  • We do not accept payments for picks
  • We do not guarantee profits
  • We strongly encourage responsible betting

Sports betting involves risk. Only bet what you can afford to lose.

If you or someone you know has a gambling problem, please seek help:

Contact & Feedback

Questions? Open a GitHub Issue

Found a bug? Report it on GitHub

Want to contribute? Check our Contributing Guide

Business inquiries? Email: contact@proplotfits.com

Acknowledgments

Data Sources:

Inspiration:

  • The sports analytics community on Twitter/X
  • FiveThirtyEight’s sports modeling approach
  • The open source R community

Special Thanks:

  • hoopR developers for making college basketball data accessible
  • Beta testers providing early feedback
  • Everyone who contributes to making sports analytics more transparent

Last updated: January 3, 2026