Спортлото «6 из 45» Lottery

Спортлото «6 из 45» Autocorrelation Analysis

Спортлото «6 из 45»: do draws have "memory"? Are results correlated between draws?

Autocorrelation shows whether the results of draw N are related to draw N-1, N-2, and beyond. If significant autocorrelation is detected, it's a valuable signal for forecasting. If not, it confirms the randomness of the "Спортлото «6 из 45»" lottery.

Analysis based on 20 draws from 05/26/2026, 04:55 PM to 05/28/2026, 02:30 PM

Max lag:

Draw sums autocorrelation

Correlogram with 95% confidence intervals

Observations

Significant lags

±0.4383

95% confidence interval

No autocorrelation detected

All ACF values are within the 95% confidence interval. The sequence is statistically random.

ACF(1) for All Numbers

Autocorrelation at lag 1 — quick overview of each number's "memory"

Ball	ACF(1)	Status
1	-0.3500	Normal
2	0.0262	Normal
3	-0.1853	Normal
4	-0.0167	Normal
5	-0.1167	Normal
6	-0.0553	Normal
7	-0.1853	Normal
8	-0.1265	Normal
9	-0.0611	Normal
10	0.1125	Normal
11	-0.0553	Normal
12	-0.0611	Normal
13	0.0500	Normal
14	-0.2167	Normal
15	-0.0553	Normal
16	-0.1853	Normal
17	0.0500	Normal
18	0.2069	Normal
19	-0.0611	Normal
20	-0.2119	Normal
21	0.0000	Normal
22	0.0500	Normal
23	-0.1167	Normal
24	-0.0553	Normal
25	-0.0553	Normal
26	-0.1853	Normal
27	-0.1853	Normal
28	-0.1167	Normal
29	-0.0611	Normal
30	-0.0611	Normal
31	-0.1258	Normal
32	-0.1167	Normal
33	-0.1265	Normal
34	-0.1167	Normal
35	-0.1167	Normal
36	0.3625	Normal
37	-0.1167	Normal
38	-0.1853	Normal
39	-0.1167	Normal
40	0.0000	Normal
41	0.0000	Normal
42	0.0000	Normal
43	-0.1167	Normal
44	-0.1167	Normal
45	-0.2000	Normal

About Autocorrelation

Mathematical foundations

The autocorrelation function (ACF) measures the linear dependence between values of a time series separated by k steps (lag). In the context of a lottery: is the result of draw N related to the result of draw N-k?

ACF Formula

ACF(k) = Σ(xₜ - x̄)(xₜ₊ₖ - x̄) / [n · Var(x)]

ACF values range from -1 to +1. If |ACF| exceeds the confidence interval ±1.96/√n, the correlation is statistically significant.