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
EuroMillions Charts
- Latest Draw Result
- Number Frequency
- Lucky Star Frequency
- Overdue Numbers
- Odd/Even Numbers
- High/Low Numbers
- Sum and Root Sum
- Hot and Cold Numbers
- Most Common Pairs
- Most Common Triplets
- Most Common Quadruplets
- Mean, STDEV, & Range Trend
- Mean Distribution
- Range Distribution
- STDDEV Distribution
- IQR Distribution
- Clustering Distribution
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 Feb. 7, 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 1-7 up to 50-50, 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 8-14 with 37 occurrences, suggesting a strong clustering in this interval. In contrast, the least frequent deviation interval is 22-28, 29-35, 36-42, 43-49, 50-50 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.
Format Changes in EuroMillions
Since its launch in 2004, EuroMillions has undergone several format changes aimed at enhancing and keeping the game competitive. These changes have adjusted the number pool over the years.
| Period | Format | Bonus Ball |
|---|---|---|
| February 2004 | 5 numbers out of 50 | 2 lucky stars out of 9 |
| May 10, 2011 | 5 numbers out of 50 | 2 lucky stars out of 11 |
| September 2016 | 5 numbers out of 50 | 2 lucky stars out of 12 |
The first major change occurred in 2011 when the Lucky Star pool increased from 9 to 11, making it more challenging to hit the jackpot. In 2016, the Lucky Stars increased again to 12.
How EuroMillions Format Changes Affect Your Number Strategy.
These format changes have a direct impact on statistical analysis. Mixing frequency data across different formats is not advisable because each version of the game has a different number pool and probability structure.
For example, a number that appeared frequently in the 2/9 lucky star format may have done so due to higher individual draw probability, but that same frequency can be misleading in the 2/11 and 2/12 formats.
Therefore, for meaningful analysis, it’s essential to treat each format as its own distinct dataset. Analyzing trends or frequencies should be restricted to results from within the same format period, especially if the goal is to inform number selection in the current game structure.
EuroMillions Charts
- Latest Draw Result
- Number Frequency
- Lucky Star Frequency
- Overdue Numbers
- Odd/Even Numbers
- High/Low Numbers
- Sum and Root Sum
- Hot and Cold Numbers
- Most Common Pairs
- Most Common Triplets
- Most Common Quadruplets
- Mean, STDEV, & Range Trend
- Mean Distribution
- Range Distribution
- STDDEV Distribution
- IQR Distribution
- Clustering Distribution