Hourly Winrate

What is Hourly Winrate?

Hourly winrate is a key metric used by poker players to measure their expected earnings per hour of play. It represents the long-term average profit (or loss) a player achieves while playing a specific game format, stake level, and table configuration. Winrate is distinct from hourly rate in that it isolates skill from factors like table selection or game pace.

Calculation

Hourly winrate is calculated by dividing total profit (or loss) over a large sample of hours by the number of hours played. For example, if a player wins $1,000 over 500 hours, their hourly winrate is $2/hour. To account for different stake levels, players often use big blinds per hour (BB/hr), which normalizes winrate across limits. A winrate of 10 BB/hr means the player earns 10 big blinds per hour on average.

Factors Influencing Hourly Winrate

• Game Format: Cash games typically have higher winrates than tournaments due to the ability to rebuy and deeper stacks. In tournaments, winrate is often expressed as ROI (Return on Investment) per hour.
• Stakes: Higher stakes generally yield lower winrates in terms of BB/hr because opponents are stronger, but absolute monetary winrate may be higher.
• Table Selection: Players who actively choose soft tables can significantly increase their winrate.
• Multi-tabling: Playing multiple tables increases hourly winrate in terms of $/hr, but often reduces per-table winrate due to divided attention.
• Skill Level: Stronger players have higher winrates, but winrate also depends on the player pool’s average skill.
• Variance: Short-term luck can cause large swings; a reliable winrate requires a large sample (often thousands of hours).

Typical Winrates

Professional live cash game players might achieve winrates of 5–10 BB/hr in soft games. Online micro-stakes games can see winrates up to 15–20 BB/hr for strong players, but these shrink as limits rise. Tournament players measure winrate as ROI per hour, with typical values between 10% and 50% for winning players depending on structure and field size. These figures are rough estimates; no specific player data should be assumed.

Limitations

• Sample Size: A few hundred hours may not reflect true winrate due to luck. Standard deviation in live poker is approximately 100 BB/hr, meaning thousands of hours are needed for accuracy.
• Game Conditions: Winrate changes with table dynamics, time of day, or when transitioning to new limits.
• Sustainability: High winrates may attract tougher competition or cause players to be targeted by others.
• Tilt and Fatigue: Hourly winrate does not account for mental state or session length effects.

Conclusion

Hourly winrate is a practical summary of poker skill and game selection, but it must be interpreted with caution. Serious players track winrate alongside other metrics like standard deviation and BB/100 to manage bankroll and set goals.