How our AI model generates sports betting picks (units, probabilities & strategy)

Most bettors rely on intuition or trends. At Rithmm, our approach is different — and smarter.  
We built an **AI-powered prediction engine** that converts decades of historical data into real-time, probability-based sports picks.  
Here’s how it works — and why it outperforms traditional handicapping.

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The Core Engine Behind Every Pick

Rithmm’s AI model doesn’t “guess.” It learns.  
Our algorithms digest thousands of data points from past games — spreads, totals, player stats, pace, defensive matchups, even situational tendencies.  
Then, using machine-learning techniques, the model identifies patterns that consistently predict future outcomes.

Every prediction is backed by:
- Historical trend analysis
- Game context (venue, schedule, weather)
- Player-level impact
- Market efficiency tracking

This foundation allows the model to deliver predictive accuracy that remains stable over entire seasons — not just hot streaks.

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Understanding Units and Probabilities

Each Rithmm prediction includes a win probability and a unit recommendation.  
- Win probability tells you how confident the model is in that outcome.  
- Units reflect how strongly to size that play within your bankroll — helping manage risk and maintain long-term ROI.

Example:  
> A pick with a 61% win probability might be rated at 0.8 units, while a 70% probability might scale to 1.5 units.  
This framework makes betting more disciplined, data-driven, and sustainable.

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The Model Edge — DTM Explained

Every Rithmm prediction comes with a metric called DTM (Distance to Market).  
It measures how far our model’s prediction deviates from the current sportsbook line — similar to how traders measure value in financial markets.

A positive DTM means the model sees edge over the posted odds.  
A large negative DTM signals there’s no value left.  
It’s a simple way to identify when a bet is worth taking — and when the market is already efficient.

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AI vs. Human Handicappers

Traditional handicappers often lean on trends or “feel.”  
AI doesn’t care about momentum or narratives — it evaluates millions of combinations across games, players, and markets.  
That’s why, over time, our model uncovers profitable spots that human bettors might overlook.

And the best part? You don’t have to be a data scientist to use it.  
Rithmm’s interface translates complex probabilities into clean, easy-to-understand insights.

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Build and Test Your Own Model

Rithmm users can personalize models based on what matters most — offense, defense, player form, or pace.  
Run a backtest, see three years of performance, and instantly identify where your model performs best.

If you’re ready to make smarter, more consistent picks, start your free trial today.

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