Szymon Kłos — RTP & Data Researcher

Szymon Kłos researches RTP and game data at Slots.Tube. His area is the meaning behind a percentage or a total: which configuration it belongs to, how a calculation was made and what conclusions the number can support. A value without its denominator or its game version can look precise while answering the wrong question.

RTP is a clear example. The theoretical percentage for a defined configuration is different from the proportion of stakes returned during one short session. Both can be written as percentages, but they describe different quantities. Szymon’s research remit includes keeping that distinction explicit, recording the source context and making illustrative calculations possible for a reader to follow step by step.

The RTP checking guide shows how to locate the figure in the version you have opened and what to record when information conflicts. The session tracking guide separates turnover, returns, deposits and the net result. Together they help you avoid treating every number on a game or account screen as the same kind of evidence.

This role also involves the limits of a dataset. The demo guide explains why a short sequence of outcomes cannot establish a game’s theoretical return or predict a later session. Szymon’s contribution is to the research and interpretation of such data, not to promises of profitable play. The team directory places this work alongside mechanics analysis and editorial responsibilities.

The publications here connect three questions: where a percentage comes from, what a maximum win can tell you and how to reconcile an actual session record. The related reading supplies the paytable and feature-cost context. Keep the unit beside each number; a multiplier without its reference stake is easy to misread.

The unit beside a number is part of the information Szymon’s research area examines. A percentage of theoretical return, a multiple of stake and a cash award cannot be placed in the same comparison without explanation. Retain the denominator and configuration when following an example. If one input is absent, a narrower supported statement is more useful than a calculation built from an assumed value.