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Why Agile averages can mislead

The daily average is useful, but it can hide the exact hours that decide your cost.

Short answer

The daily Agile average is a quick signal, not a verdict. Your cost depends on when you use power. A day can have a friendly average and still punish heavy evening usage, or look ordinary overall while hiding a very cheap overnight run.

If you want live context while reading, check the dashboard, test a real run in the appliance timer, set a trigger in alerts, or compare the same day across regions.

The average ignores your routine

A plain average treats every half-hour slot as equally important. Your home probably does not. Cooking, showers, heating, EV charging, and appliance use tend to cluster at particular times. If those times line up with expensive bars, the average can be too optimistic.

Cheap slots need real usage

A cheap slot only saves money if you put useful demand into it. If low prices arrive while everything is already off, the chart can look good without changing your bill. This is why automation, appliance timing, EV charging, and battery charging matter more than the single lowest number.

Peak slots can dominate

The evening peak can dominate a day if that is when the household is busiest. A few expensive half-hours can outweigh a lot of modestly cheap background slots. The compare tool’s split mode exists because this shape matters.

Example

Imagine a day averaging 20p/kWh, but your main 4kWh lands at 38p/kWh in the evening. That day will not feel like 20p/kWh to you. Another household using the same 4kWh overnight could get a very different result.

What to watch out for

Use averages as a starting point. For real decisions, look at the price shape and your own usage pattern.

Related tool

Use the practical view next

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Reminder

These guides are practical and estimate-focused. They are not personalised tariff advice, and they do not replace a full bill comparison.

Why Agile averages can mislead | OffPeakly