# Predictors

At DFSocial we want to compensate those holders who are actively seeking for new ways of earning. Our predictors allow DFSocial's holders to try to guess the correct answer and earn the proportional amount of the total prize. These events are about to guess the winner of a tournament, a specific result of a match or a special result.

Did you know that you can earn $DFSG if you guess right without risking your tokens? Learn how to participate [*here*](/dfsocial-gaming/services/predictors/how-to-participate.md)!

{% hint style="success" %}
**Main Features:**

* Multiple choice questions.
* Predict the correct one by locking a fixed amount of $DFSG showed on each option.
* Get your tokens back after the lock-up period expires (1 month). **ALWAYS! (Yes, even if your guess is wrong).**
* Submit multiple predictions to increase your odds.
* A 3K $DFSG prize pool is distributed among the winners (see example below).
  {% endhint %}

![](/files/BRnWVYYQVFxRUYfFhRCt)

**DETAILED EXAMPLE:**

{% hint style="info" %}
**Prediction Event:** *How many goals will be scored in the Rocket League #6 tournament final?*\
**Possible Answers:**

* *\[Answer 1] 1 or less*
* *\[Answer 2] Between 2 and 5*
* *\[Answer 3] More than 5*
  {% endhint %}

> *Prize pool to be distributed: 3,000 DFSG*\
> \&#xNAN;*User A locks 2,000 DFSG in each of the answers (6,000 DFSG in total).*\
> \&#xNAN;*User B locks 6,000 DFSG in \[Answer 1]; and 4,000 DFSG in \[Answer 3] (10,000 DFSG total).*

* If the correct answer is \[Answer 1]:

A earns 2,000 / 8,000 \*3,000 = 750 DFSG 👉 Profit = 25%\
B earns 6,000 / 8,000 \*3,000 = 2,250 DFSG 👉 Profit = 37.5%

* If the correct answer is \[Answer 2]:

A earns 2,000 / 2,000 \*3,000 = 3,000 DFSG 👉 Profit = 150%

* If the correct answer is \[Answer 3]:

A earns 2,000 / 6,000 \*3,000 = 1,000 DFSG 👉 Profit = 50%\
B earns 4,000 / 6,000 \*3,000 = 2,000 DFSG 👉 Profit = 50%


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://dfsocial.gitbook.io/dfsocial-gaming/services/predictors.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
