Games Forecast Playground Case files My numbers

🇺🇸Match 6 Lotto

EN

← Match 6 Lotto

pool inferredsingle source

Frequency Explorer Gap & “Overdue” Tracker Sum Distribution Consecutive Numbers Surprise Harmony Matrix Number Constellation Carry-over / Déjà Vu Delta Space Coverage Race Draw Fingerprints Randomness Observatory Positional Ribbons Cross-Lottery Mirror Six true stories Cultural Numbers Atlas The Unpopular Numbers Edge Wheel Workshop Myth Rebuttal Pattern Court Draw Rank Stream Anytime Bias Watch Whole-Draw Drift Conditional Harmony Residue Kaleidoscope Digit Laboratory Crowd Calibration Lab Calibration Forge Johnson Spectrum Compression Lab Forecast Arena Exchangeability Watch Gap Uniformizer Sharing Map Chernoff Map Return Ledger Rule-Change Ledger Machine Room Calendar Court Balls versus RNG World Fairness Board Regression Ledger Lottery Design Studio Chance Detective The Headline Factory The Crowd Through Time Thirty Years of Saturdays Pattern Recipe Lab Arithmetic Progression Garden Same Odds, Different Waits Wrong Formula Lab Euler’s Lottery Desk Casanova’s Risky Treasury The Lottery That Chose Lives The Museum Built by Chance

Loading…

Reading the draws and working out what chance predicts.

← PreviousThirty Years of Saturdays Next →Arithmetic Progression Garden

LotteryOracle

LotteryOracle reports what happened; it does not predict what is next. Every draw is independent — no number is ever "due".

Games Playground Case files The week Data About Methodology Privacy

Responsible play.A lottery costs more than it pays back; if it stops being fun, help is free and confidential: 1-800-GAMBLERall helplines →

Match 6 Lotto: Pattern Recipe Lab — LotteryOracle

LotteryOracle · F-47

Pattern Recipe Lab

Combine primes, squares, Fibonacci numbers and sums. Count how much of chance your recipe describes.

Choose a ball game with established pool rules: 1–8 numbers drawn, with labels from 1 to 100. An observed maximum alone is insufficient.

∑The maths, in plain language

✦The story behind it

Categories can overlap. Their joint counts use four disjoint groups. Adding sums or last-digit rules enumerates at most 250,000 combinations, then uses 60,000 seeded draws. A zero sampled count still has uncertainty. These are model probabilities, not evidence of bias or predictions.

P(R=r) = C(M,r) C(N−M,k−r) / C(N,k)

NIST · Hypergeometric distribution

Prime, square and Fibonacci labels describe numbers; they do not make a fair ball more likely. Build a recipe before looking at a draw, then ask how many other combinations fit it.

NIST · Hypergeometric distribution