Tournaments cannot borrow the cash-game habit of counting big blinds per hundred hands, because chips in a tournament are not money and most entries end with nothing returned. The natural measure instead is ROI: how much profit a player makes relative to how much they put in. It captures, in a single percentage, the combined effect of how often they cash and how deep they go when they do.

01The ROI maths

The calculation is a single ratio. Total every buy-in a player has paid - including the entry fees the room keeps and any re-entries or rebuys - to get the total invested. Subtract that from total winnings to find profit, then divide profit by the total invested and read the result as a percentage.

  • Total invested. Every buy-in and fee paid across the sample, re-entries included.
  • Profit. Total winnings minus total invested.
  • ROI. Profit divided by total invested, as a percentage.

For example, a player who paid one thousand in buy-ins and collected eleven hundred in prizes has a profit of one hundred and an ROI of ten percent. ROI is the tournament analogue of the cash-game figure described in the guide to the poker win rate - the same idea of edge, expressed in the unit that suits the format.

02ITM percentage versus ROI

A second figure usually travels alongside ROI: the in-the-money percentage, or ITM, which is simply how often a player reaches a paid place. It is tempting to read a high ITM as success, but it can mislead. Because tournament payouts are heavily weighted toward the top finishes, most cashes barely return the buy-in, and a player can be in the money often while still losing money overall.

The two numbers are best read together. A high ITM with a thin ROI points to a careful style that limps into the places but rarely wins them; a lower ITM with a strong ROI points to a player who busts more often but accumulates when they run deep. ROI is the figure that pays the bills - ITM only describes the shape of how it is earned.

ROI, ITM and field size: what each number really tells you
Metric / factorWhat it showsWhat it can miss
ROIProfit relative to total buy-insCan be very noisy over a small sample
ITM %How often a player reaches a cashSays little about how deep those cashes run
Field sizeHow swingy the format isNot a skill metric on its own
Sample sizeHow far the result can be trustedStill depends heavily on the format

03Field size, variance and the bankroll it demands

Field size is the single biggest driver of tournament variance. In a small field, a skilled player reaches the paid places relatively often; in a field of thousands, even a strong player will go through long stretches with no meaningful result, because almost everyone busts before the money concentrates at the final table. The bigger the field, the more the true ROI hides behind enormous swings.

That variance is exactly why tournaments demand such a deep reserve of buy-ins - the subject of poker bankroll management - and why a hundred buy-ins is treated as a floor rather than a comfort. The mechanics of why results scatter so far from the true ROI, and how long the dry spells can last, are set out in the explanation of poker variance.

A useful caution: a single large score can lift a small sample's ROI to a figure that looks elite and is almost meaningless. Tournament ROI needs thousands of entries before it stabilises, far more than a cash-game win rate, precisely because so much of the return is concentrated in rare deep runs.

How tournament format changes ROI volatility
Tournament typeTypical fieldVarianceROI stabilityBankroll pressure
Single-table SNG6-10LowerMore stableLower
Small-field MTT50-200MediumModerateMedium
Large-field MTT500-2,000HighSlow to settleHigh
Massive online MTT2,000+Very highVery noisyVery high

04Live versus online, and realistic targets

Live and online tournaments tend to produce different ROI profiles. Online events run faster, draw larger fields and feature tougher regulars, so even good players often operate on a single-digit ROI built over a huge volume of entries. Live tournaments are slower, cap the volume a player can put in, and frequently feature softer competition, which can support a higher ROI - but over a far smaller sample that is harder to verify.

As a rough guide, a sustained ROI of a few percent into the low double digits is a genuinely strong online result, while higher figures in soft live fields are plausible but need a long record to believe. The honest posture is to treat any ROI built on a few dozen tournaments as provisional, and to keep measuring it against the swings around it - the same discipline that the tools on the Pokeroi homepage are designed to support.

05What a good tournament ROI really depends on

There is no single "good" number - what counts as strong shifts with the conditions:

  • Field size. A 5% ROI in massive online fields can be more impressive than 25% in tiny ones.
  • Buy-in level. Edges shrink as the buy-ins rise and the regulars sharpen.
  • Live vs online. Softer live fields support higher ROI; tougher, faster online fields compress it.
  • Rake. Entry fees skim every buy-in and quietly lower the achievable return.
  • Sample size. This matters most of all - a high ROI over 50 events is barely evidence of anything.

06Why tournament ROI is harder to trust than a cash win rate

  • Tournament payouts are top-heavy, so most of the profit hides in a handful of deep runs.
  • One big score can distort a small sample into a figure that looks elite and isn't.
  • Most entries end with no return at all, widening the swings.
  • Bigger fields stretch normal variance much further than any cash game.
  • Live samples build painfully slowly, so the number stays provisional for years.
  • Bankroll pressure from the swings can quietly erode decision quality.

07What tournament ROI can and cannot tell you

It can tell you
  • Whether your results have beaten your buy-ins so far.
  • Whether an edge may be real, once the volume is large.
  • Roughly how profitable your current format is.
It cannot tell you
  • That one good month proves you are a winner.
  • That the variance is finished with you.
  • That your bankroll risk is acceptable on its own.