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Nolan Kido / Poker

Poker / After-play study

Results deserve context.

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After-play study. All money amounts and probabilities are fictional examples, not Nolan's results or estimates of any player's ability.

Let the result be a result, not an identity.

A cash is a real outcome. A losing trip is a real cost. Neither should be erased by a story about variance, and neither is a complete assessment of how well someone played. A useful record separates the financial outcome, the decisions available for review and the uncertainty about long-run ability.

The practical objective is a record you can continue keeping after an ordinary session, not a dashboard that turns every upswing into proof and every downswing into a crisis. The same separation also makes a vlog's results segment clearer.

Count entries and events separately.

One tournament event can involve several paid entries. Record the event and each entry or re-entry, its full cost including the fee, any add-on, refunds and all returns. Keep bounties separate from finishing prizes while still including both in a clearly defined total. Do not describe a trip as “three tournaments” in a way that hides six paid attempts.

Choose a consistent cashing-rate denominator and label it. “Events with a finishing prize divided by events played” is not the same measure as cashes per entry. Report the counts as well as the percentage. Bounty-only returns and multi-flight formats may need their own labels rather than being forced into an ambiguous cash/no-cash field.

Keep receipts or source notes privately when available. A public summary does not need reservation details, opponents' identities, account information or precise travel movements. The result log is a record of your activity, not a reason to publish other people's data.

Three arithmetic lines, three different meanings.

A fictional twelve-entry sample

Twelve entries cost $200 each, including fees: total entry cost $2,400. Total tournament returns are $3,100. Net tournament result is $3,100 − $2,400 = +$700.

Tournament ROI, using total entry cost as the denominator, is $700 / $2,400 = 29.2%, rounded. If the trip also costs $500 in travel and lodging, the trip surplus is +$200 before other uncounted expenses or taxes.

The $700 poker result, 29.2% tournament ROI and $200 trip surplus are not interchangeable. State what is included before comparing two trips.

If entry sizes vary, add all returns and all costs before calculating aggregate ROI. An unweighted average of entry-level percentage returns gives a small entry the same influence as a large one and generally answers a different question. Do not silently mix the two methods.

Show concentration without rewriting history.

Suppose $2,000 of the fictional $3,100 came from one finish. That is 64.5% of all returns. The largest result matters a great deal to this sample. A sensitivity illustration that removes its payout leaves $1,100 in returns against $2,400 in costs, or −$1,300.

That last calculation is not an alternative actual ROI and not an estimate of “what normally happens.” The finish really belongs in the sample. Its purpose is to show how concentrated the result is, not to delete success or manufacture a losing record.

A probability example is not a personal forecast.

For a deliberately simplified exercise, assume each event independently has exactly a 10% chance of a specified kind of cash. Under those assumptions, the chance of no cash in ten events is 0.9 to the tenth power, or 34.9%. In twenty events it is 0.9 to the twentieth power, or 12.2%.

Those probabilities do not describe this site's author or your next trip. Real fields, formats, entry decisions and player performance vary. Independence and a constant cash probability are assumptions used to demonstrate a calculation. A cash probability also says nothing by itself about profitability without the distribution of payout amounts and entry costs.

Another player could have the same cashing rate but a different expected return because their deep finishes pay more. Larger samples can reduce some uncertainty, but there is no universal count of live tournaments that certifies a win rate. A short, highly concentrated sample deserves more context, not more decimal places.

“All-in adjusted” is not “luck removed.”

Even where a tool calculates an adjustment for recorded all-in runouts, that adjustment addresses only the events and model it includes. It does not undo which starting hands were dealt, which opponents were seated nearby, earlier runouts, prize effects or omitted hands. Do not turn a partial adjustment into a statement that the entire sample now measures skill alone.

Maintain a second record for decision evidence.

Alongside the financial ledger, keep a short review queue: one decision, the information available then, the uncertainty and the next check. A small pot with a clearly reconstructable error can teach more than a spectacular elimination with missing sizes and stacks.

Choose some review hands before deciding whether their outcomes are emotionally interesting. Include an ordinary win, an ordinary fold and an unresolved decision over time. This is a practical selection habit, not a promise that a small curated queue represents every hand played.

Track what the review actually established: corrected pot arithmetic, a chart-input mismatch, a range assumption tested or an unanswered question. Do not award yourself a “good decision” merely for writing a plausible explanation after winning. The hand-review guide keeps the record and later interpretation separate.

Set the stopping rule before the result.

Choose spending, re-entry and time limits before starting a session or trip. Keep essential living money separate from money allocated to playing. A loss is not a reason to enlarge the budget, and a successful vlog is not a reason to play a hand or buy another entry solely to manufacture drama.

This page does not prescribe a bankroll size or an investment strategy. Variance calculations cannot make an unaffordable loss affordable. A useful session can end with a complete record and a break rather than another tournament or another hour of analysis.

Download the results-review sheet

References and limits

GTO Wizard: variance and bankroll management is background reading on dispersion and risk. The ledger definitions, figures and constant-probability exercises here are independently stated and calculated. Prepared with AI assistance. No confidence interval, true ROI, personal cash probability or profitability claim is inferred from these examples.