Frequently Asked Questions

Everything you need to know about how we calculate and display user metrics.

"Current Users" shows the most recent count of online users in Habbo Origins. This number is updated every minute based on the actual number of people logged into the hotel.

When you see the green or red arrow next to this number, it shows the percentage change over the last 24 hours of data.

The "Daily Comparison" shows how many more or fewer users are online compared to the same hour yesterday. For example, if it's 2 PM now, it compares the current user count with the user count at 2 PM yesterday.

This comparison helps identify daily patterns and whether the hotel is more or less active than the previous day.

The trend line (shown in green when enabled) uses a statistical method called linear regression to show the general direction of user activity. It's calculated using the "Average Users" data points.

Interpreting the Trend Line

  • Rising line indicates growing activity over time
  • Falling line suggests declining activity
  • Flat line indicates stable user numbers

The steepness of the line indicates how quickly these changes are happening - a steeper line means more rapid change, while a flatter line suggests more stable numbers.

The trend line uses simple linear regression, following these steps:

1

Each time point is assigned an x-value (0, 1, 2, etc.), and the user count becomes the y-value

2

The line is calculated using the "least squares" method, minimizing the total distance between the line and all actual data points

3

The formula calculates slope (m) and y-intercept (b) for the line equation y = mx + b

y = mx + b

Where 'm' is the slope (rate of change) and 'b' is the y-intercept (starting point)

You can view data in several different time periods:

7 days

Hourly/daily averages for the last week

30 days

Hourly/daily averages for the last month

90 days

Hourly/daily averages for the last 3 months

Custom range

Select any period up to 365 days

Uptime percentage tracks periods when the user count drops to zero, which typically indicates server downtime.

Calculation Formula

Uptime % = (1 - downtime_minutes / total_minutes) × 100

A reading of zero users for any minute counts as downtime. This helps track server reliability and availability.

All timestamps can be viewed in your local timezone. You can change the timezone using the selector at the top of the page. This affects how times are displayed but doesn't change the underlying data.

Key Points

  • Data is collected in UTC
  • Times are converted to your selected timezone for display
  • Change timezone anytime without affecting the data