Repeats from the previous draw Lotto
How many numbers repeated from the previous draw, and how many should?
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.
- Game
- Lotto
- Number pool
- 49
- Selected range
- 100 most recent
- Draws in the sample
- 100
- From
- 2026-02-12T21:00:00Z
- To
- 2026-10-01T20:00:00Z
- Latest draw in the sample
- 2026-10-01T20:00:00Z
- Calculated at
- 2026-10-01T23:41:26+02:00
- Source
- Service draw archive
- Freshness
- Checking…
Repeats from the previous draw
For every Lotto draw we count how many of its 6 numbers also came up in the draw immediately before. The random model assumes independent draws of 6 from 49 numbers.
Average number of repeats (N = 100 draws, 100 comparisons)
0,73
model k²/m: 0,73
Most frequent number of repeats in the range
0
w 46 comparisons (history)
Draws with no shared number
46,0%
model: 43,6%
Distribution of the number of repeats
Observed = how many draws in the range had exactly r numbers shared with the previous one. % history is computed from comparisons (N − 1 for a continuous window). A dash means no model value.
| r repeats | observed | % history | % model | P(X≥r) model |
|---|---|---|---|---|
| 0 | 46 | 46,0% | 43,6% | 100,0% |
| 1 | 38 | 38,0% | 41,3% | 56,4% |
| 2 | 13 | 13,0% | 13,2% | 15,1% |
| 3 | 3 | 3,0% | 1,8% | 1,9% |
| 4 | 0 | 0,0% | 0,1% | 0,1% |
| 5 | 0 | 0,0% | 0,0% | 0,0% |
| 6 | 0 | 0,0% | 0,0% | 0,0% |
How this is calculated
The first draw in the history has no predecessor, which is why the number of comparisons is smaller than the number of draws. If the draws are independent, the count of shared numbers follows the hypergeometric distribution: P(X=r) = C(k,r)·C(m−k,k−r)/C(m,k), where k = 6, m = 49, and the mean is k²/m. The P(X≥r) column sums the model probabilities from r upwards. Over a range of years we sum the raw yearly counters, not finished percentages. The difference between history and the model is a description here, not a test.
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.
What do these numbers show?
- In 100 draws (100 comparisons with the previous one) an average of 0,73 numbers repeated from the previous draw, while the random model gives 0,73. That is a descriptive comparison, not a test result.
- Most often r = 0 repeats occurred: in 46 of 100 comparisons (46,0%), in the model 43,6%.
These are historical data. Each draw is independent of previous draws, so these numbers do not tell us what will be drawn next.
How do I use this page?
- Choose a number of recent draws or a range of years.
- Read the average number of repeats in history and compare it with the model value k²/m.
- In the table, check how often exactly r numbers repeated from the immediately preceding draw.
- The P(X≥r) column says what share of draws in the random model has at least r repeats.
What this page does not do: it does not point to numbers to play and does not predict whether anything will repeat in the next draw.