> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rolearn.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# CCU Forecasting

> Predict Roblox game player counts with ML-powered CCU forecasting — 7 to 30 day predictions with confidence intervals

CCU Forecasting uses advanced time-series machine learning to predict future player counts for any tracked game.

## How It Works

RoLearn collects historical player count data for your tracked games, processes it through our forecasting pipeline, and generates predictions with confidence intervals. Models are retrained regularly to stay accurate as game dynamics change.

## Features

* **Point forecasts**: Expected CCU for each future day
* **Confidence intervals**: Upper and lower bounds showing prediction uncertainty
* **Trend decomposition**: See seasonal patterns (weekday vs. weekend, holidays)
* **Multiple horizons**: Short-term (7d) and long-term (30d) projections

## Using Forecasts Effectively

Forecasts are most useful for answering directional questions:

* **"Is this trend still growing or has it peaked?"** — Check whether the forecast line is trending up or down
* **"Should I build something similar?"** — If a game's forecast shows sustained growth, the window is still open
* **"When should I expect a dip?"** — Weekly and seasonal patterns show natural low points

<Tip>
  Combine forecasts with [Game Benchmarking](/features/game-benchmarking) to understand if predicted growth is above or below genre norms.
</Tip>

## API Endpoint

```
GET /api/forecast/{place_id}
```

See [API Reference → Forecast](/api-reference/game-forecast) for full details.

## Plan Limits

| Plan     |              Forecast Access             |
| -------- | :--------------------------------------: |
| Explorer |                     —                    |
| Builder  |               Basic (7-day)              |
| Studio   | Advanced (30-day + confidence intervals) |

## Frequently Asked Questions

<AccordionGroup>
  <Accordion title="Can you predict how many players a Roblox game will have?">
    RoLearn generates CCU forecasts based on historical patterns and seasonal trends. While no prediction is perfect, forecasts give you a strong directional signal — whether a game is growing, stable, or declining.
  </Accordion>

  <Accordion title="How far ahead can RoLearn forecast CCU?">
    Builder plans get 7-day forecasts. Studio plans unlock 30-day forecasts with full confidence intervals. Longer history on a tracked game improves forecast accuracy.
  </Accordion>

  <Accordion title="What makes a Roblox CCU forecast reliable?">
    Games with 30+ days of tracking history produce the most reliable forecasts. Major game updates can temporarily reduce accuracy until enough post-update data accumulates. The confidence interval width tells you how certain the model is.
  </Accordion>
</AccordionGroup>