What we investigate
The central question is practical: what changes when a player alters the stake rule while the payout table remains fixed? Our comparison starts from a 500 FUN bank, a 1 FUN base stake and a 64 FUN cap. Ten ordinary rules are evaluated alongside a separate historical parameter search. The simulator exposes the settings so a reader can repeat a calculation instead of relying on a headline.
The recorded study contains 1,000 Low, 1,000 Normal and 1,000 High drops at 16 rows. Ten setup drops are excluded. We distinguish the actual one-FUN game records from hypothetical stakes replayed over the same pockets. Screenshots identify the game and its controls; they are not evidence of a funded Italian account or a cash withdrawal.
How to read our conclusions
A profitable configuration selected after seeing the full history is a finding about that history. It is not a forecast. We also select parameters on the first 700 results and check them on the remaining 300 without retuning. Both segments already exist in the recorded corpus, so this is a held-out retrospective check, not a prospective trial. Those labels stay beside the results.
We use local questions to decide what deserves an explanation: apps that promise money, the meaning of a predictor, the difference between a payout and a profit, and how to identify a provider. A forum comment is a question lead, not a verified payment record or a claim about all players. We do not invent withdrawals, residence or professional credentials to make a guide sound more persuasive.
Responsibility and corrections
Luca Ferri is the byline attached to this project’s editorial work. The author page explains the name and scope. We remain responsible for the calculations and wording published here. If you find a mismatch between a chart and the simulator, send the page, settings and the result that appears wrong through the contact page.
This site does not accept deposits, open gambling accounts or process withdrawals. FUN is virtual and has no cash value. A corrected article date means the article changed; it does not silently turn an old sample into newly collected data. The study keeps its own collection date and scope so later readers can tell which evidence they are examining.