Research · Club apps · Bots · Detection · Collusion

ClubGG: a private-club poker application operated by NSUS Group

ClubGG is a mobile poker application released by NSUS Group, the parent company of GGPoker. Unlike GGPoker, it is not a public cash room: it operates as a federation of private clubs administered by club owners, agents and unions, with monetary settlement conducted outside the software. The platform is one of the principal venues in which automated playing agents and agent-mediated collusion are documented in private-club environments.

Reviewed by Raul Moriarty · Updated 28 May 2026

The trust map

AppClubGG (NSUS Group)
GatekeeperClub owner, not operator
ChainPlayer · agent · union · NSUS
SettlementCash, offline, in Diamonds
Real riskWho you trust at the table
AuthorRaul Moriarty
A diamond ace propped against violet and gold poker chips on a dark felt table — the visible surface of a club game whose fairness is decided off the table.
The table is the visible tip of a chain that decides whether the game is fair — and that chain has nothing to do with the cards.

Key points

  • ClubGG is not a public poker room. It is a marketplace of private clubs run by owners, fed by agents and super-agents, organised under unions. NSUS provides the software; the people in that chain decide who plays and who gets paid.
  • Trust is decentralised. On GGPoker the operator guarantees the game. On ClubGG the club owner is the gatekeeper, and your safety at a table is only as good as the owner's incentives — which may or may not align with yours.
  • That is why "are there bots?" is the wrong opening question. Bots and collusion exist on every club app. The variable that actually predicts whether you get robbed is who controls the club and who vouched for the seats around you.
  • Enforcement is split. NSUS runs statistical signals from the network side; club owners and agents run the human side. The two can disagree — an owner can spot a cheat the algorithm missed, and also protect one the algorithm flagged, because the cheat pays him rake.
  • The economy is local. A bot's return is tied to a specific club's rakeback deal and a specific union's settlement, not to a shared global pool. This is most concentrated in Asia (Korea, Japan, Vietnam, Taiwan) and Latin America (Brazil, Mexico, Argentina), where the agent economy already existed before the app did.

Follow the trust, not the cards

The chain of trust, not the software

Open ClubGG and the screen looks like any other mobile poker client — six-max NLH, PLO, a Diamond Race series, run-it-twice, a four-colour deck. Treating it as just another room is the mistake. The table is the visible tip of a chain that decides everything about whether your game is fair, and that chain has nothing to do with cards.

At the bottom is the player. Above him is the agent who recruited him, handles his deposits, and settles his cash. Above the agent is a super-agent, then the union that pools several clubs for liquidity, then the club owner who sets the rake and holds the seat-control tools, and only at the very top is NSUS, the operator that wrote the software and runs the network-side security. Money flows up this chain in Diamonds and back down in cash. Trust is supposed to flow the same way — and that is exactly where it breaks.

On a regulated public site like GGPoker, the operator is the single party guaranteeing the game; you trust one company. On ClubGG you are trusting a stack of intermediaries whose interests only partly overlap with yours. The club owner wants rake volume. The agent wants his players to keep depositing. The union wants liquidity. None of them is structurally obligated to make sure the seat next to you is honest — only to keep the money moving. That is the real subject of this site.

Why this flips the cheat question

Because settlement happens offline, every Diamond won converts to cash somewhere up the chain, so bots and collusion are worth building — the economics are identical to a real-money game. That part is not interesting; it is true of every club app. What is interesting is who is positioned to do something about it, and whether they want to.

The party best placed to catch a cheat is the club owner. He sees every transfer, every balance, every seat. He can freeze a player, restrict a table, or refuse to settle. But he is also the party who profits from that cheat's rake, who may have personally vouched for him, or who may be the one running the bot. A club owner can know, with certainty, that a regular is botting his soft players and keep him seated, because the alternative is losing rake and admitting his club is unsafe. Enforcement and conflict of interest live in the same person.

So the question a player should ask before sitting is not "does this app have bots." It does. The question is "whose club is this, who runs the union behind it, and do I have any reason to believe they will protect me over their own rake." On ClubGG that question has a real answer, and learning to read it is the whole game.

Three questions worth a real answer

The threads below are where the interesting work and the interesting risk both live. Each one is a governance question wearing a technical costume.

  1. Who actually enforces, NSUS or the owner? The two enforcement layers can pull in opposite directions. The network catches statistical outliers across the whole population; the owner catches what he wants to catch inside his own walls. A cheat survives in the gap between what the algorithm can prove and what the owner chooses to act on. Detection, read as politics →
  2. Who commissioned the bot, and what is its rakeback deal? A ClubGG bot is rarely a freelancer. It is placed by an agent or owner to farm a specific club, and its return is the rakeback math behind that club, not a number on an open market. Follow the deal and the bot's whole behaviour makes sense. The economics of a club bot →
  3. How far does your trust have to travel? The thing that separates ClubGG from PPPoker, PokerBros, X-Poker and Suprema is not features — it is how many strangers you have to trust, and whether anyone above the owner is checking. Trust models compared →

Where careful reading of ClubGG pays off

If you play, run, or build for a ClubGG club, the difference between a safe seat and a slow leak is rarely the cards — it is whether you can read the chain above the table before you sit. Knowing who owns the club, who the agent answers to, and where an owner's rake quietly outweighs his duty to police the game is the single most useful skill on a club app, and it transfers straight across to PPPoker, PokerBros, X-Poker and Suprema. We work on exactly this problem — mapping trust chains, modelling owner incentives, and the bot economics that ride on top of them — and the people who built these notes will answer a direct question without a sales pitch.

Contact us

Low-volume channel read by the Poker Bot AI team. Questions on club governance, agent incentives, who polices a club, and the economics behind the bots.