The Standard Deviation is also very useful in analyzing how spread out the numbers tend to be from draw to draw. It also shows how consistently random the draws are over time

Last 75 draws
From Aug. 11, 2025 To Oct. 24, 2025

Histogram of Standard Deviation

The histogram of standard deviation measures how much variation or dispersion exists among numbers in each lotto draw. A low standard deviation means the numbers are close together, while a high standard deviation indicates they are spread out across the range. By dividing these values into bins, the histogram reveals whether draws tend to produce tightly grouped numbers or broadly spaced sets. This helps in understanding the randomness and variability of number distribution across many draws.

The chart below is a histogram of standard deviation of lotto combinations from Aug. 11, 2025 to Oct. 24, 2025 , covering 75 draws. The range of possible standard deviation is divided into categories or bins. In this case, the bins are defined as intervals such as 1-5 up to 36-39, each representing a continuous range of mean values.

This division is necessary because individual standard deviation values can vary widely, and grouping them into intervals makes patterns easier to observe. For example, by examining how frequently standard deviation fall into each bin, anyone can quickly see whether the draws are evenly distributed, clustered in particular ranges, or biased toward lower or higher values.

The histogram of standard deviations of lotto draws, showing how widely numbers vary within combinations reveals that the most frequent deviation interval is 6-10 with 35 occurrences, suggesting a strong clustering in this interval. In contrast, the least frequent deviation interval is 16-20, 21-25, 26-30, 31-35, 36-39 with 0 occurrences, showing it is rarely observed. This indicates a noticeable concentration of draws around certain deviation intervals. Overall, the distribution shows clustering around specific deviation intervals, indicating that draws tend to gravitate toward these values.