How to use
- Set the pool size to your lottery's main pool (49 for UK Lotto, 69 for Powerball main, etc.).
- Paste your draw history into the textarea — one draw per line, with the numbers in that draw separated by spaces or commas. Order within a draw doesn't matter.
- The tool parses everything that looks like an integer in [1, pool size] and ignores everything else, so you can paste lightly-formatted text (dates, headers) without cleaning it first.
- Hot numbers, cold numbers, gap analysis, and frequent pairs update live as you type.
Reading the output
- Frequency bars — one bar per number 1…N showing how often it was drawn. Long bars are common; short bars are rare.
- Hot numbers — top 10 by frequency. In a perfectly fair lottery this is just statistical noise.
- Cold numbers — bottom 10 by frequency. The "due number" intuition (cold numbers are more likely next draw) is the gambler's fallacy in fair games.
- Gap analysis — how many draws ago each number was last seen. Useful for spotting any number that's been absent unusually long.
- Most common pairs — which two numbers most often appear in the same draw. Random expectation in a 6/49 sample is roughly 100 × 6 × 5 ÷ (49 × 48) ≈ 1.3 co-occurrences per random pair across 100 draws.
For any meaningful "is this lottery biased?" question, you'd want a chi-squared goodness-of-fit test on the observed vs expected frequencies — that's a math/stats analysis we don't include here. For now, treat the output as descriptive.
FAQ
Where do I get historical draw data?
Most national lotteries publish full draw history on their official websites (PDF or downloadable CSV). Some Wikipedia pages list recent draws too. We deliberately don't fetch any external data — paste whatever you'd like to analyse.
Should I bet on hot or cold numbers?
Neither, in a fair lottery. The previous draws don't affect future draws — every legal combination has equal probability every time. Hot/cold streaks in a finite sample are expected statistical noise, not a signal.
What about pseudo-RNG biases?
Modern lotteries use mechanical ball machines with regular calibration audits, so genuine bias is rare. If you're analysing an informal or pseudo-RNG-driven game, frequency tools are more relevant — large deviations from uniform after thousands of draws can suggest implementation issues.