FlooorGang

active

Automated NBA betting analysis tool that identifies players who consistently hit stat thresholds (FlooorGang) by comparing historical performance to betting lines

Tech Stack

Pythonnba_apipandasmatplotlibThe Odds API

Overview

Automated NBA prop betting analysis tool that finds players who consistently hit stat thresholds (their "floor") by analyzing historical performance against betting lines

What We Built

[Detailed explanation of the project - to be filled in later]

Key Features

  • Feature 1
  • Feature 2
  • Feature 3

Technical Highlights

[Technical details, architecture decisions, interesting problems solved]

Future Enhancements

  • Enhancement 1
  • Enhancement 2
Work Log (13)
TimeSummaryTags
1 hour agoUpgraded to The Odds API 20K plan with 3x faster performance
apiinfrastructureupgrade
1 day agoAdded STL/BLK player props and team totals with OVER/UNDER betting
featureanalyticspython
1 day agoAudited model logic, fixed floor calculation, and added games tracking breakdown
auditvalidationfeature
1 day agoRebranded project from nba-90ers to FlooorGang
refactorbranding
1 day agoBuilt Twitter API integration for automated daily posting to @FlooorGang
featureintegrationpython
1 day agoRebranded graphics to @FlooorGang and optimized layout for mobile with square format
polishuipython
1 day agoAdded Supabase database storage for picks and scanner runs with API quota tracking
featuredatabaseanalytics
1 day agoInitialized git repo, pushed to GitHub, and reorganized project structure
setupgitdevops
1 day agoAdded nba-90ers project to personal site with Supabase record and markdown file
setupdocumentation
1 day agoCreated two-cron-job system for automated daily scanner execution
setupautomationdevops
2 days agoBuilt dynamic scheduler using NBA API for game schedules and 3-hour pre-game timing
featureautomationpython
2 days agoImplemented dual-layer caching strategy with --fresh flag for dev vs production
featureoptimizationpython
2 days agoFixed graphics generator to group same player's multiple picks consecutively
bug-fixpythondata-visualization