Formula
BB/100 = (net big blinds won / hands played) × 100
Example
A player who wins 1,000 big blinds over 20,000 hands has a realized BB/100 of (1,000 / 20,000) × 100 = 5 BB/100. The 95% confidence interval at this sample size is roughly -2 to 12 BB/100 with normal SD, meaning the realized number is signal+noise.
How StackEdge uses BB/100
StackEdge tracks BB/100 automatically from your session log and surfaces it across the analytics dashboard, alongside related metrics — broken down by game type, venue, stakes, day of week, and time of day. See the full analytics suite →
Related terms
- Win Rate — Long-term profit rate, in BB/100 for cash or ROI for tournaments.
- Sample Size — Number of hands or tournaments — determines how reliable your win rate is.
- Variance — The statistical spread of your poker results around your expected win rate.
- Hourly Rate — Total profit divided by total hours played.
