Math file 09

Bonus expected cost: a transparent estimate

Estimate the mathematical cost of bonus turnover using required play, RTP and the limits of a simple expected-value model.

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Evidence desk answer

A rough model is turnover × house edge. AU$4,000 of play at 96% RTP implies AU$160 expected loss, but variance can produce a much larger or smaller actual result and restrictions can increase effective cost.

At a glance

The file in facts.

Primary signalExpected loss

The first observable detail to identify.

Best evidenceTurnover and the exact game RTP

Prefer direct, dated and independently retrievable proof.

Main riskMistaking an average model for a personal forecast

The error this page is designed to prevent.

Next actionUse the model as a warning boundary, not a strategy

A practical step that does not require a deposit.

01 / Analysis

Map the money before it starts moving

Money claims become clearer when each number is assigned a role. A headline percentage is not cash, a displayed balance is not necessarily withdrawable, and an “instant” method may describe only the first leg of a payment. The file therefore records expected loss as a claim to test, not a benefit to assume.

Write the path from bank or wallet to merchant and back again. Include the processing currency, merchant descriptor, fees, verification stage and every daily or monthly ceiling. If one step depends on support discretion, mark it before—not after—the transfer.

Preserve the version of terms that applied. Screenshots should include the URL and date, while transaction evidence should include identifiers rather than only a success animation. That record is more useful to a bank or complaint reviewer than a promotional summary.

Bottom line: A rough model is turnover × house edge. AU$4,000 of play at 96% RTP implies AU$160 expected loss, but variance can produce a much larger or smaller actual result and restrictions can increase effective cost.

02 / Evidence checklist

What to verify.

  1. Expected loss
  2. Turnover and the exact game RTP
  3. Use the model as a warning boundary, not a strategy
  4. Date, jurisdiction and exact service scope
  5. A copy of the source that another reader can retrieve

Complete the list using sources you reached independently. If a material answer is missing, the absence is part of the conclusion; it is not a reason to guess.

03 / Stop signals

Do not rationalise these away.

  • Mistaking an average model for a personal forecast
  • Treating marketing copy as independent evidence
  • Acting before legal entity and domain checks are complete

If a warning appears after money or documents have moved, preserve the URL, messages, transaction references and terms before closing the session. Secure the connected email account and contact the payment provider promptly when fraud is suspected.

04 / Sources

Trace the conclusion.

Sources are listed by the role they play. Government and regulator records establish Australian legal context; other material is explicitly labelled when it is used only for discovery or product detail.

05 / Reader questions

Short answers, visible limits.

What is the short answer on bonus expected cost: a transparent estimate?

A rough model is turnover × house edge. AU$4,000 of play at 96% RTP implies AU$160 expected loss, but variance can produce a much larger or smaller actual result and restrictions can increase effective cost.

What should I save as evidence?

Keep the source showing turnover and the exact game rtp, the access date, full URL and any transaction or account reference connected to the issue.

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