> For the complete documentation index, see [llms.txt](https://docs.sweep.finance/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sweep.finance/ecosystem-components/platform/five.md).

# Five

#### **What is Five**

Five is a step-based prediction game played with a standard deck, where users progress through a sequence of five rounds by making correct predictions about upcoming cards.

Each round introduces a different type of prediction, increasing in complexity. To complete the game, users must successfully pass all five rounds.

Only users who complete the full sequence receive the final reward.

***

#### **How it works**

The game is played over **five consecutive rounds**, and users must complete each round in order.

**Round 1**

* The user predicts whether the first card will be **red or black**

**Round 2**

* Based on the first card, the user predicts whether the next card will be **higher or lower**

**Round 3**

* Using the previous two cards, the user predicts whether the next card will be **between or outside** their values

**Round 4**

* The user predicts whether the next card will be a **number card or a face card**

**Round 5**

* The user predicts the **exact suit** of the final card (spades, hearts, diamonds, or clubs)

For each round:

* The system reveals one card
* The user’s prediction is evaluated
* If correct → the user proceeds to the next round
* If incorrect → the game ends

Important:

* The game must be completed step by step
* Rounds cannot be skipped
* The user cannot exit early before completing all five rounds

If all five rounds are completed successfully:

* The full reward (**32x**) is applied

***

#### **Key mechanics**

Five is built on sequential prediction and increasing difficulty.

* The game consists of **5 rounds with different prediction types**
* Each round depends on the previous outcome
* Difficulty increases at each step
* The final reward is only available after completing all rounds

This creates a system where:

* Early rounds are simpler
* Later rounds require more precise predictions
* Full completion is required to receive the maximum reward

At the same time, each participation contributes to the platform:

* Every entry generates transaction volume
* The resulting activity generates protocol fees
* **These fees are split equally, with 50% allocated to the SWEEP burn mechanism and 50% to USDT distribution**

<br>