Period comparison Lotto
How has the frequency of numbers changed between two periods?
What would you like to check?
Enter or load your numbers in the analyzer. The latest draw report describes the actual draw, not your selection.
Explore all statistics — guided topics
These pages describe the history of this game. They do not predict future numbers. Use the selection tool on a page to compare your own numbers.
Numbers and gaps
Start with frequency and gaps: how often each number appeared in the selected historical sample.
Draw structure
Compare sum, parity, endings and range. On a page with a selection comparison, open it to check your numbers.
Relationships and random model
Explore pairs, triples and partners, then the random model. Historical relationships do not improve future odds.
Draws and tools
Read the latest draw report for the actual drawn numbers. Use the analyzer and matching draws for your own selection.
How to use it
- Choose a mode: two consecutive windows of the most recent draws, or two calendar years.
- Set the window length N, or both years, and click “Show”.
- Check the table for the number of occurrences and the share of a given number separately in period A and period B.
- The difference column shows how many percentage points the share in A departs from the share in B.
The comparison could not be computed for the selected choice. Adjust the mode, window length, or years and try again.
Interactive tools
Explore the same data actively. The tools describe history and the random model; they do not predict the next result.
My selection — check its properties against history
This describes the entered selection and its position in the historical sample. It does not increase its chance.
History player — move through past draws
Choose a year, use the slider or start automatic playback. This is a presentation of recorded results, not a forecast.
Open the module to load the available years.
Random-model simulator — see ordinary random variation
Generate independent draws with the rules of this game and compare observed counts with the common expected value. Every run is different.
How to read statistical measures
Random model
Expected value
Deviation
Percentile
Typicality