Descriptive statistics
Number Analysis
Digit frequencies, position patterns, sum distributions, and gap statistics computed directly from stored official results.
Hot and cold statistics do not predict future draws. These charts describe what already happened. In a fair drawing every digit keeps a 1-in-10 chance at every position, and no digit becomes more likely because it has been absent for a while.
A · Overall digit frequency
How often each digit appeared
Across 13,971 drawings (41,913 digit slots).
Change vs previous 100 draws
Hot (last 100)
- 512.33%
- 812.33%
- 010.67%
- 910.33%
- 710.00%
Cold (last 100)
- 48.00%
- 38.33%
- 18.67%
- 69.67%
- 29.67%
Hot and cold rankings describe only the recent past. Under a fair drawing each digit keeps a 1-in-10 chance regardless of this ranking.
B · Position-specific frequency
Digit distribution by position
First, second, and third digit counts. In a fair draw each cell should sit near the same expected count.
| Position | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|
| Position 1 | 1417 | 1447 | 1394 | 1396 | 1290 | 1420 | 1414 | 1346 | 1447 | 1400 |
| Position 2 | 1355 | 1430 | 1439 | 1389 | 1389 | 1330 | 1400 | 1464 | 1385 | 1390 |
| Position 3 | 1399 | 1400 | 1432 | 1403 | 1454 | 1459 | 1425 | 1348 | 1317 | 1334 |
Daytime vs evening independence
χ² = 4.058, p = 0.9076 — no detectable difference between sessions. Daytime (6,639) and evening (7,332) draws are analysed separately throughout the app.
F · Digit sum
Sum distribution vs theory
Sum of the three main digits (0–27).
Chi-square goodness of fit against the exact theoretical distribution of three independent uniform digits.
G · Odd / even
Odd-digit count per draw
Binomial(3, 0.5) is the fair-drawing expectation.
H · Repeated digits
6-way, 3-way, triple
All distinct (720/1000), one pair (270/1000), triple (10/1000).
I · Exact combinations
Most frequent exact results
1000 of 1,000 combinations have appeared at least once.
- 83027×
- 84527×
- 86027×
- 28826×
- 53226×
- 11225×
- 11425×
- 31525×
- 36225×
- 69325×
With only a few thousand draws most of the 1,000 combinations are never drawn, so frequency differences here are expected sampling noise.
K · Gap analysis
Draws since each digit last appeared
Per-position current gaps. A large gap does not raise the next probability.
| Position | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|
| Position 1 | 19 | 12 | 15 | 10 | 9 | 2 | 3 | 7 | 0 | 8 |
| Position 2 | 11 | 6 | 3 | 2 | 0 | 4 | 38 | 10 | 15 | 12 |
| Position 3 | 6 | 4 | 7 | 18 | 1 | 0 | 5 | 60 | 23 | 8 |
Gaps measure past spacing only. Independent drawings do not make a long-absent digit more likely to appear. Theoretical mean spacing for a single digit slot is 9 gaps.
M–Q · Randomness battery
Is the data consistent with a fair drawing?
8 tests with benjamini hochberg correction at α = 0.05.
| Test | p-value | Adjusted | Result |
|---|---|---|---|
| chi2_position_1 | 0.1050 | 0.4199 | consistent |
| chi2_position_2 | 0.3532 | 0.6856 | consistent |
| chi2_position_3 | 0.0736 | 0.4199 | consistent |
| chi2_digit_sum | 0.3660 | 0.6856 | consistent |
| chi2_odd_even | 0.4285 | 0.6856 | consistent |
| chi2_repeat_pattern | 0.8699 | 0.8699 | consistent |
| runs_parity | 0.7404 | 0.8462 | consistent |
| monte_carlo_digits | 0.6885 | 0.8462 | consistent |
No test survives multiple-testing correction, which is consistent with a fair random drawing.
Exact-combination χ²
1063.6
Monte-Carlo p = 0.077
Digit uniformity
6.35
1000 simulations, p = 0.701
ACF lags outside band
1
95% band ±0.017
Autocorrelation of digit sums
These tests check whether results are consistent with independent uniform drawing. Failing to reject randomness is the expected outcome for an official lottery.
Statistical tests are reported with Benjamini–Hochberg multiple-testing correction. Results are descriptive only and carry no predictive claim.