Sum autocorrelation Eurojackpot
Does a draw's sum depend on the sums of previous draws?
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
- Eurojackpot
- Number pool
- 50
- Selected range
- 50 most recent
- Draws in the sample
- 50
- From
- 2026-04-10T18:00:00Z
- To
- 2026-09-29T18:15:00Z
- Latest draw in the sample
- 2026-09-29T18:15:00Z
- Calculated at
- 2026-10-01T22:51:30+02:00
- Source
- Service draw archive
- Freshness
- Checking…
Did the draw sum depend on previous sums
The sum of the drawn numbers in Eurojackpot is compared with sums from 1, 2 and 3 draws earlier. The autocorrelation coefficient measures whether a high sum was more often followed by another high sum (a positive value) or by a low sum (a negative value). For independent draws, the coefficients fluctuate around zero.
Draws in range
50
source: draw history
Sum pairs in the calculation
50
n for lag 1; for larger lags there are correspondingly fewer pairs
Typical interval for independence
±0.277
1.96/√n — about 5% of coefficients from independent sequences fall outside it
Coefficients for lags 1–3
Coefficient = linear correlation of the draw sum with the sum from the given number of draws earlier, calculated for the selected range.
| lag | coefficient | outside the ±ci95 interval |
|---|---|---|
| 1 draw | 0.052 | no |
| 2 draws | 0.002 | no |
| 3 draws | -0.085 | no |
No coefficient fell outside ±0.277, so no linear autocorrelation of sums was detected at these lags.
What this analysis tests, and what it doesn't
Tests only a linear relationship between a draw sum and sums from 1–3 draws earlier. Under draw independence, the coefficients are close to zero, and the ±1.96/√n interval contains about 95% of the values produced by independent sequences of this length. There is no separate model file here — the interval follows directly from the number of pairs n.
Doesn't test nonlinear relationships, relationships between individual numbers, the order in which they were drawn, or lags longer than 3. The three coefficients are three simultaneous comparisons: at least one chance interval crossing occurs in about 14% of independent sequences (1 − 0.95³). A coefficient inside the interval means that linear autocorrelation was not detected at these lags; it does not prove independence.
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?
- Across 50 draws (50 sum pairs, source: draw history), the sum autocorrelation coefficients were — lag 1: 0.052, lag 2: 0.002, lag 3: -0.085.
- No coefficient fell outside ±0.277 (1.96/√50), so no linear autocorrelation of sums was detected at these lags.
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 the number of most recent draws for which autocorrelation was calculated.
- Read the coefficients for lags 1–3: a value close to zero means no detected linear relationship between the sum and previous draw sums.
- Compare each coefficient with the ±1.96/√n interval — the “outside the interval” column shows whether it crossed the boundary.
- Check the sample size: the number of draws and sum pairs used for the coefficient.
What this page does not do: does not predict the next draw sum and does not suggest numbers to play.
How to read statistical measures
Random model
Expected value
Deviation
Percentile
Typicality