Poker Analytics — The 6 Metrics That Matter

Hourly rate, BB/100, ROI, ITM%, win rate, variance — calculated automatically and broken down by game, venue, stake, day of week, and time of day.

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How do I analyze my poker performance?

The 6 metrics every serious poker player should track are: hourly rate ($/hr), BB/100, ROI, ITM%, win rate, and variance. StackEdge calculates all 6 automatically from your session log and breaks them down by game type, venue, stake, day of week, and time of day — patterns you cannot spot in a spreadsheet. Most live players are surprised by which rooms are actually most profitable.

The 6 metrics in detail

Hourly Rate

Total profit ÷ total hours, pause-adjusted. The intuitive headline.

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BB/100

Cash-game win rate, normalized across stakes.

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ROI

Tournament profit per dollar of buy-in.

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ITM%

Share of tournaments you cash.

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Win Rate

Long-term profit rate, computed per stake.

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Variance / SD

How much your results swing around your expected rate.

Read the definition →

Breakdowns that surface patterns

The data shifts when you slice it. Three breakdowns matter most:

By venue. Which rooms are actually most profitable? Most live cash players have one or two clear winners and one or two losers — and they often play in all of them out of habit. More →
By stake. Your $1/$3 BB/100 should differ from your $2/$5 BB/100. If one is dramatically better, that is where your edge actually is.
By day and time. Loose games run at predictable times in most live rooms. The data tells you when to show up.

Sample-size aware confidence

StackEdge flags every metric with a sample-size confidence indicator. A 5 BB/100 realized rate over 10,000 hands gets a "low confidence" tag. The same rate over 100,000 hands gets "high confidence." Most players over-interpret small samples — StackEdge marks them so you do not. More on sample size →

Frequently asked questions

What metrics does a poker analytics app track?

The six metrics every serious player should track: hourly rate ($/hr), BB/100 (cash win rate), ROI (tournament return), ITM% (tournament cash rate), win rate by stake, and variance (standard deviation). StackEdge tracks all six plus 90+ more, with breakdowns by game type, venue, day of week, time of day, and stake.

How do I analyze my poker performance?

Start with hourly rate by venue (which rooms are most profitable). Then BB/100 by stake (where you have a real edge). Then sample-size confidence (whether your win rate is signal or variance). Most players find one or two specific stakes or venues account for most of their profit, and one or two are actually losing.

How big a sample do I need for reliable poker analytics?

50,000+ hands of cash at the same stake before BB/100 starts being reliable. 1,000+ tournaments of similar size before ROI is meaningful. Smaller samples produce noisy results that StackEdge flags with confidence indicators so you do not act on bad data.

Can StackEdge analyze online poker hand histories?

No. StackEdge is session-level tracking with key-hand notes, not a HUD. PokerTracker 4 and Hold'em Manager are HUDs that parse hand histories from online sites. StackEdge focuses on bankroll, session, and analytics — different category.

See your real numbers in StackEdge. Download free on the App Store →

Last updated: May 19, 2026 · Written by Timothy J. Casatelli

Poker Analytics App for iOS — 100+ Metrics, Charts, Reports | StackEdge