Casino games & game math.

The single number that decides every gambling outcome over time: the probability-weighted average result of a bet.

The built-in mathematical advantage the operator keeps on every wager — and how it differs from 'hold'.

The share of all stakes a game pays back over the long run — and its shadow, the house edge.

The total money staked before any payout — the wagering volume beneath revenue, where a thin edge on a large handle can outproduce a fat edge on a small one.

A relative benchmark that scores a game against the average of a chosen comparison set — 1.0× is average, 2.0× twice that, 0.5× half — so titles of different sizes and currencies can be compared like for like.

The performance curve of a title over time — the launch spike, the long tail, and why persistent underperformers get culled to make room for the next release.

The revenue a game is mathematically expected to produce — stake volume times the house edge — and why it is not the cash actually booked.

The ceiling on what a game can pay — how win caps shape volatility, the tail, and the 'max win' arms race.

Why two games with the same RTP can feel completely different — the shape of the risk, not the average.

How casino games decide outcomes — certified RNGs vs provably-fair — and why every round is independent.