How to Calculate Gaming Club Utilization

Published: 2026-05-30 · Updated: 2026-06-21 (12 days ago)· IZI Team

How to Calculate Gaming Club Hall Utilization in IZI

Hall utilization — the share of available gaming time actually consumed by players — is the single most diagnostic metric for a computer or gaming club. IZI calculates it automatically and surfaces it in the KPI Dashboard under Sessions Data → Utilization. The formula: total session minutes played divided by total available capacity minutes, multiplied by 100. Capacity is derived from your cash shifts: for each shift, IZI takes its duration in minutes and multiplies it by the number of devices that were active when the shift opened. Archived or deleted machines drop out of capacity automatically from their deletion date, so the figure always reflects your real working fleet. To read your current utilization, open Analytics → KPI, pick a date range, scroll to Sessions Data, and look at the Utilization card. Alongside the percentage you will see a trend arrow — up or down — showing how the current period compares to the identical previous period.

The Utilization Formula

Utilization (%) = Session minutes played / Available capacity minutes × 100

Session minutes played — the sum of totalDurationMinutes across all sessions with status STARTED or ENDED in the selected period.

Available capacity minutes (totalCapacityMinutes) — the sum across every cash shift of:

shift duration (minutes) × active devices at shift open

A device is counted as active for a shift if it was created before the shift opened and was either not deleted or deleted after the shift had already started.

Example Calculation

Parameter	Value
Cash shifts in the period	30 (12 hours = 720 min each)
Active devices	20
Capacity: 30 × 720 × 20	432,000 min
Total session minutes	259,200 min
Utilization	259,200 / 432,000 × 100 = 60%

These numbers are parametric — substitute your own device count and actual shift length to get your figure.

Where to View Utilization in IZI

KPI Dashboard: Utilization Card

Open Analytics → KPI.
Set the date range using the filter at the top of the page.
Scroll down to the Sessions Data section.
The Utilization card displays the percentage and the period-over-period change.

The same section contains four interconnected cards:

Card	What it shows
Sessions count	Total number of gaming sessions in the period
Hours played	Total time across all sessions, in hours
Average session length	Mean duration of a single session
Utilization	Percentage of available capacity consumed

Reading them together reveals the underlying pattern. If utilization rises but session count stays flat, players are staying longer per visit. If session count grows but utilization holds steady, sessions are getting shorter.

Period-over-Period Comparison

IZI automatically calculates utilization for the selected period and for the preceding period of the same length. If you are viewing the last 30 days, the system compares that to the 30 days before. The delta appears on the card as a percentage change.

This removes the need for manual trend tracking. Open the dashboard once a week and you immediately see whether utilization is climbing or falling.

Sessions Timeline Chart

Below the card row, the Time played (hours) chart shows total session hours by day, week, or month (granularity adjusts automatically to your selected range, but you can override it manually). This chart is not the same as the percentage metric, but it lets you spot activity patterns — recurring quiet days, seasonal dips, or spikes after a promotional campaign.

How IZI Accounts for Device Changes

Capacity is not simply “number of PCs × hours open.” IZI ties the calculation to individual cash shifts and the actual fleet state at each shift’s opening:

Device added mid-month — it starts contributing to capacity from its first shift onward. Past shifts are not retroactively recalculated.
Device deleted — all shifts after the deletion date exclude that device. Shifts before the deletion remain unchanged.
Device archived (deletedAt set in the database) — excluded from capacity from that timestamp forward.

This means that if you temporarily take a machine offline for repairs by archiving it, utilization during the repair period correctly reflects your available fleet rather than your nominal seat count.

Interpreting the Number

Utilization is a diagnostic metric. By itself it does not tell you what to do. Read it together with related indicators:

Situation	What to investigate next
Low utilization (<40%) and low revenue	Too few visitors — look at the clients report to understand new vs. returning traffic
Low utilization but normal revenue	Guests spend heavily in short visits — review ARPU and average session length
High utilization (>80%) and revenue not growing	Possible price ceiling — check your tariff rates and top-up trends
High utilization with customer queues	Consider expanding capacity or redistributing seating zones

Estimating Lost Revenue from Idle Capacity

To quantify how much unused capacity costs you:

Lost revenue potential = (1 − Utilization) × Capacity (hours) × Average hourly rate

For example: 50% utilization, 1,000 hours of capacity per month, your average rate per machine-hour. That leaves 500 idle machine-hours — a portion of which can be captured through daytime tariffs or loyalty incentives such as a deposit bonus for off-peak sessions.

Step-by-Step: Tracking Utilization Weekly

Open Analytics → KPI, set the period to Last 7 days.
Note the Utilization value and the trend direction.
Switch to period comparison and identify which days of the week show the steepest drops.
If the dip is systematic — every Monday, or every weekday between 11:00 and 15:00 — that is a concrete signal for a targeted action: a daytime tariff, a promotional event, or another capacity-filling measure.
Two to three weeks after making the change, measure utilization in the same time slice and compare. Assess whether the intervention moved the needle.

A consistent weekly measurement is more reliable than a one-off reading. A four-to-eight-week trend eliminates noise from individual busy or slow days.

Key Metrics KPI Dashboard — all club metrics on a single screen
How to Calculate Club ARPU — average revenue per customer
How to Calculate Average Session Length — session length directly affects utilization
Hall Utilization Report: Finding Hour-by-Hour Dips — heatmap view by day and hour
Hall Utilization — Glossary — definition and business context
Period Comparison in Analytics — comparing utilization between date ranges

Frequently asked questions

How does IZI calculate hall utilization?

Utilization = total session minutes played ÷ total available capacity minutes × 100. Capacity is the sum of each cash-shift duration multiplied by the number of active devices at the moment the shift opened. Both values are in minutes; the result is expressed as a percentage.

Where do I find the utilization percentage in IZI?

Go to Analytics → KPI Dashboard, scroll to the Sessions Data section, and open the Utilization card. It shows the current value and a trend indicator compared to the previous equivalent period.

What does 'capacity' mean in IZI?

Capacity is the product of each cash-shift duration (in minutes) and the number of devices that were active when that shift opened. Devices archived before the shift started are excluded automatically.

Why might my utilization look lower than expected?

If you have archived or deleted devices in your club, IZI removes them from capacity automatically from the deletion date onward. If the number seems off, check your device list in club settings.

Can I export utilization data?

Yes. In the Sessions Data section of the KPI Dashboard, there is an export button that downloads the sessions chart as a CSV file.

At what utilization level should I consider expanding the club?

Sustained utilization above 80% during peak hours with visible queues is a signal to review your schedule or add seats. Below 40% means unfilled capacity — a good opportunity to run targeted marketing campaigns or introduce off-peak pricing.