This chart shows how often each individual lottery number has been drawn over a specific period or across all previous draws. This statistic gives players an insight into which numbers have been drawn more frequently or less frequently.
The Number Frequency Statistics table below presents key metrics for analyzing the occurrence patterns of specific numbers. It includes columns for Frequency, Last Draw Interval, and the Last Draw Date, which indicates the number of draws a ball appears for a specific period, , the number of draws since the ball last appeared, and the date the ball last appeared, respectively.
Ball | Freq. | Draw Interval | Last Draw Date | |
---|---|---|---|---|
23 |
15 |
|
1 | Jun-27-2025 |
17 |
15 |
|
3 | Jun-24-2025 |
15 |
14 |
|
1 | Jun-27-2025 |
34 |
13 |
|
13 | Jun-06-2025 |
28 |
13 |
|
4 | Jun-21-2025 |
3 |
13 |
|
13 | Jun-06-2025 |
36 |
13 |
|
19 | May-27-2025 |
13 |
13 |
|
2 | Jun-25-2025 |
4 |
12 |
|
0 | Jun-28-2025 |
18 |
12 |
|
3 | Jun-24-2025 |
20 |
12 |
|
2 | Jun-25-2025 |
30 |
11 |
|
2 | Jun-25-2025 |
24 |
11 |
|
9 | Jun-13-2025 |
1 |
11 |
|
0 | Jun-28-2025 |
21 |
10 |
|
17 | May-30-2025 |
9 |
10 |
|
0 | Jun-28-2025 |
26 |
10 |
|
16 | May-31-2025 |
33 |
10 |
|
1 | Jun-27-2025 |
2 |
9 |
|
7 | Jun-17-2025 |
35 |
9 |
|
5 | Jun-20-2025 |
11 |
9 |
|
0 | Jun-28-2025 |
37 |
9 |
|
4 | Jun-21-2025 |
25 |
9 |
|
11 | Jun-10-2025 |
19 |
9 |
|
32 | May-03-2025 |
39 |
9 |
|
7 | Jun-17-2025 |
10 |
8 |
|
0 | Jun-28-2025 |
6 |
8 |
|
7 | Jun-17-2025 |
38 |
8 |
|
23 | May-20-2025 |
7 |
8 |
|
2 | Jun-25-2025 |
14 |
8 |
|
1 | Jun-27-2025 |
8 |
7 |
|
18 | May-28-2025 |
29 |
7 |
|
8 | Jun-14-2025 |
31 |
7 |
|
3 | Jun-24-2025 |
12 |
7 |
|
7 | Jun-17-2025 |
32 |
7 |
|
5 | Jun-20-2025 |
16 |
6 |
|
17 | May-30-2025 |
5 |
5 |
|
6 | Jun-18-2025 |
27 |
5 |
|
8 | Jun-14-2025 |
22 |
3 |
|
38 | Apr-23-2025 |
Rank | Frequency | Percentile Rank | Ball |
---|---|---|---|
1 | 15 | 100% |
23
17
|
2 | 14 | 94.87% |
15
|
3 | 13 | 92.31% |
34
28
3
36
13
|
4 | 12 | 79.49% |
4
18
20
|
5 | 11 | 71.79% |
30
24
1
|
6 | 10 | 64.1% |
21
9
26
33
|
7 | 9 | 53.85% |
2
35
11
37
25
19
39
|
8 | 8 | 35.9% |
10
6
38
7
14
|
9 | 7 | 23.08% |
8
29
31
12
32
|
10 | 6 | 10.26% |
16
|
11 | 5 | 7.69% |
5
27
|
12 | 3 | 2.56% |
22
|
The Summary of Number Frequency by Rank organizes lottery numbers based on how often they have been drawn, grouping them into tiers or ranks according to their frequencies. Numbers with the highest frequencies are placed in the top rank, indicating they have been drawn most often and may be considered "hot" numbers. Subsequent ranks include numbers with gradually lower frequencies, offering a clear comparison of how commonly each number appears.
Percentile Rank shows the relative position of a number’s frequency compared to all others. It answers the question “What percentage of numbers were drawn less frequently than this one?”. Using the percentile rank you can compare easily by normalizing frequencies on a 0–100 scale, visualizes hot/cold numbers: You can chart numbers into low, mid, and high percentiles.
This ranking system helps highlight patterns in number occurrences, making it easier to identify which numbers are most frequent, moderately drawn, or rarely drawn. It provides a useful overview for players looking to base their number selections on historical draw performance.
Since its launch in June 1999, the UK Thunderball lottery has undergone several key format changes aimed at enhancing the game and increasing player excitement. These adjustments have expanded the number selection pool.
Period | Format | Thunderball |
---|---|---|
June 1999 | 5 numbers out of 34 | 1 number out of 14 |
May 9, 2010 | 5 numbers out of 39 | 1 number out of 14 |
Throughout these changes, the Thunderball number has always been drawn from its own pool of 14 numbers, separate from the main numbers, preserving the structure that has defined the game since its creation.
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 5/34 number format may have done so due to higher individual draw probability, but that same frequency can be misleading in the 5/39 format.
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.