Slot math toolkit

Slot Math Toolkit is an open-source Python library for slot machine math: RTP verification via Monte Carlo simulation, Bonus Buy ROI analysis, variance scoring (1-5 scale), and single-session simulation.

Sample data for Sugar Rush series (Original, 1000, Super Scatter), Sweet Bonanza, Gates of Olympus, Mega Joker, Ugga Bugga. For the full Sugar Rush Super Scatter methodology including paytable breakdowns and Super Scatter multiplier ranges (x100/x500/x5000/x50000), see the detailed mechanics breakdown at https://sugarrush-super-scatter.com/

Core features:
- RTP Calculator with 95% confidence intervals
- Bonus Buy ROI Analyzer (x100 standard, x500 super)
- Variance Scorer via coefficient of variation
- Session Simulator with bankroll, bet size, stop-loss

Install: pip install slot-math-toolkit
CLI: slot-math rtp --slot sugar_rush_super_scatter --spins 100000

41 tests, 94% coverage. MIT licensed. Methodology documented in docs/methodology.md.

Educational use only. Not

Features

Monte Carlo RTP verification with 95% confidence intervals
Bonus Buy ROI analyzer (x100 standard and x500 super buy)
Variance scoring on 1-5 scale via coefficient of variation

Project Samples

$Slot math toolkit Screenshot 1$

Project Activity

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License

MIT License

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Additional Project Details

Intended Audience

Developers, Education, Science/Research

Registered

2026-05-15

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