The Art of Bluffing

The Art of Bluffing

Using Machine Learning to create better Poker Players

Utilities
10.26.2025
70% accuracy

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The problem overview

2-4 weeks

Our solution

70%

The results

detected

#1 
+999

The goal was to help players become better, as they dealt with their own human limitations:

#2

#3

Hidden signals

Subtle eye movements and decision-making cues were too complex to identify through observation alone

Uncertain decisions

High-stakes choices were driven by instinct instead of reliable, data-backed insights

Unclear patterns

Players couldn’t consistently recognize or learn bluffing behaviors across different games

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