Bet Decision Calculator + Trainer (Streamlit)

Preview

A small Streamlit app to practice pro betting fundamentals:

• Convert odds → implied probability
• Compare to your fair probability
• Compute EV and Kelly sizing
• Daily Trainer mode (practice drills)
• Optional Backtest tab (CSV upload → ROI + bankroll curve)

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Live demo

✅ Open the app: https://mrponyrivers-bet-decision-trainer.streamlit.app/

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Video

YouTube: https://youtu.be/p4s3mTzzzJU
Channel: https://www.youtube.com/@PonyRivers-x7i

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Why this matters (skills demonstrated)

This project demonstrates a sports odds + decisioning workflow: converting odds to implied probability, comparing to a user’s fair probability, then producing EV + Kelly sizing with a simple backtest loop. Built with a clean Streamlit UI and export-friendly outputs — designed to demo in under a minute.

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Try it fast (30 seconds)

1. Open the Live demo
2. Click Trainer → New question → Check answer
3. Go to Backtest (CSV) → click Load sample backtest (instant results)
4. Optional: click Download sample CSV to see the expected format

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Screenshots

Calculator

Trainer

Backtest

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Quickstart

git clone https://github.com/mrponyrivers/bet-decision-trainer.git
cd bet-decision-trainer

python -m venv .venv
source .venv/bin/activate   # macOS/Linux
# .venv\Scripts\activate    # Windows PowerShell

pip install -r requirements.txt
streamlit run app.py

How to use

Calculator

Enter:

• Bet type (ML / Spread / Total)
• Odds (Decimal or American)
• Fair probability (from your model) or fair odds

Get:

• Implied probability
• Edge (fair − implied)
• EV (per $1 and %)
• Kelly % (full + fractional)
• Stake recommendation (with caps)

Trainer

Generate practice questions and grade yourself on:

• +EV decision (BET/PASS)
• Break-even probability (implied probability)
• Kelly %

Backtest (CSV)

Upload a CSV with:

• odds_decimal (decimal odds, > 1.0)
• fair_prob (0–1)
• outcome (1 = win, 0 = loss)

The app outputs ROI, profit, bankroll curve, and max drawdown.

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Notes

This app is educational. Betting involves variance and risk.

“Fair probability” = your estimate (ideally from your model like an NFL POWERBOOK / ratings system).

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Roadmap

• Add example CSV template button (already included in-app)
• Add “Saved bets” history (session-based)
• Add spread/total probability helpers (optional conversion from model margin/total)