UPoker Bot
Poker chips on a light table, teal-graded
UPoker · 俱乐部 · the numbers

A UPoker bot is a rakeback spreadsheet, not a poker edge

Strip the marketing and a club bot lives or dies on one line of arithmetic: a thin solver edge in big blinds per 100 hands, minus rake, plus whatever rakeback flows back. Below is that math, by stake — and why it only balances for the agent who keeps the rake.

2–4 bb/100

Solver edge, soft field

A disciplined GTO overlay against weak small-club opponents — before any rake comes off the top.

−5 to −9 bb/100

Rake drag

Heavy club rake routinely outweighs the raw edge, so the player-side line runs negative on its own.

25–60%

Rakeback to the agent

The kickback the 代理 collects on rake generated. This — not the cards — is what turns the sheet green.

≈ 0%

Of that reaching a renter

A stranger who buys the tool collects no rakeback and controls no payout. The loop never closes for them.

Estimates  Figures are illustrative ranges for soft club games, not measured results. Real numbers vary by club, stake, and field.

The whole sheet in one line

Every UPoker-bot pitch reduces to this. Two of the three terms are out of a buyer's hands.

Net win-rate = solver edge (bb/100) − rake drag (bb/100) + rakeback share on rake paid

For an outside buyer the rakeback term is zero, so the whole expression is the raw edge minus heavy rake — a number that sits below zero at almost every club stake.

Why the stake you play decides everything

UPoker has no public lobby. Play happens inside small private clubs run by agents (代理), with buy-ins and settlement in diamonds (钻石) and off-app accounting. That structure puts a hard rake on every hand and a human at the top of the food chain — and it means a bot's profit is welded to one club's rakeback, not to the software.

So the only honest way to judge a UPoker bot is to put numbers to it. The Math works through ROI by stake, the break-even hand count against a typical software fee, and why the rakeback term is the one that flips the sign. Who Profits follows the same diamonds through the club and shows why the agent nets out while the retail buyer funds the whole thing. GTO and solver lines describe the thin edge; rakeback decides whether it ever pays.

Raul Moriarty

Raul Moriarty

Poker Software Expert · Poker Bot AI

Tracks the software side of club-app poker — automation, detection, and the gap between what sellers promise and what code can actually do.

Bring the numbers

Send us the rake, rakeback, and fee

Have real figures from an offer? Send them over and we run them through the same sheet on these pages — whether the math lands black or red, and where the diamonds end up.

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