Data Story
By The MyLottoStats Team|
6 min read

Most Common Lottery Number Pairs: Do They Keep Showing Up?

NY Lotto's [52-58] pair has hit 8 times in 200 draws — 7.6x more than chance predicts. Here's what the data really says.

The Pair That Refused to Disappear

On April 22, 2026, the NY Lotto drew 11, 17, 24, 32, 52, 58. Unremarkable, you might think — six numbers pulled from a pool of 59. But look closer at 52 and 58 sitting side by side in that result, and something strange comes into focus. That same pair, [52-58], has now appeared 8 times in the last 200 NY Lotto draws. That's not a curiosity. That's a number that demands an explanation.

In a 59-number pool where six balls are drawn, the mathematical probability of any specific pair appearing in a single draw is approximately 1 in 190. Over 200 draws, you'd expect a given pair to surface roughly once — maybe twice if luck nudged it. Eight times is a different conversation entirely. It's the kind of anomaly that makes even seasoned statisticians do a double-take, and it's exactly why tracking the most common lottery number pairs turns out to be far more interesting than it sounds.

How We Define a 'Common Pair' and Why It Matters

A lottery pair is simply any two numbers that appear together in the same draw. In a six-ball game, each draw contains 15 possible pairs — every combination of the six numbers drawn. Across hundreds of draws, the law of large numbers tells us most pairs should converge toward the same frequency. The ones that don't are what we're hunting.

The reason this matters isn't about fortune-telling. It's about understanding what randomness actually looks like in practice. True randomness is lumpy. It clusters. It produces outliers that feel meaningful even when they aren't — and occasionally produces patterns that genuinely are worth examining more carefully. The question is always: which is which? To explore the full picture, you can dig into NY Lotto statistics and Powerball statistics for every pair frequency we track.

The Data — Top 5 Pairs Across All Games

Here's where the story gets concrete. Across five games and hundreds of recent draws, a handful of pairs stand well above the random baseline. The table below shows the top performer from each game, alongside the draw pool size and the frequency you'd expect from pure chance alone over 200 draws.

GameTop PairObserved (200 draws)Pool SizeExpected (random)
NY Lotto[52-58]8x59 numbers, pick 6~1.1x
Take 5[8-21]8x39 numbers, pick 5~2.6x
Powerball[52-64]7x69 numbers, pick 5~0.7x
Mega Millions[22-42]6x70 numbers, pick 5~0.7x
Millionaire for Life[1-47]4x60 numbers, pick 5~0.8x

The expected frequencies were calculated using the hypergeometric probability of a specific pair appearing in a single draw, multiplied by 200. The gaps between expected and observed are not subtle. The NY Lotto figure is the most extreme: random chance predicts roughly one appearance; the data shows eight.

NY Lotto's [52-58] pair has appeared once every 25 draws over the last 200 — against a random expectation of once every 190 draws. That's not a rounding error. That's a 7.6x deviation from what probability alone would predict.

Noise or Signal? What the Numbers Actually Tell Us

Here's where honesty matters more than drama. Probability does not forbid outliers — it guarantees them. When you track thousands of possible pairs across five games and hundreds of draws, some pairs will cluster simply because that's what random distributions do. The question isn't whether an outlier exists; it's whether any specific outlier means something beyond coincidence.

Take the Mega Millions case. Two pairs — [22-42] and [19-31] — both hit 6 times in the last 200 draws, despite Mega Millions having a database stretching back 2,496 total draws. Across that full history, neither pair would look remotely special. But compressed into a 200-draw window? They look like a pattern. This is called the clustering illusion — our brains are wired to see structure in random noise, especially when the sample size is small enough to feel manageable.

Take 5 adds another wrinkle. Its top pair, [8-21], matched NY Lotto's raw frequency of 8 appearances in 200 draws — but Take 5 draws twice daily, and its pool is only 39 numbers with 5 picked. The probability of any specific pair appearing in a single Take 5 draw is roughly 1 in 75, compared to NY Lotto's 1 in 190. So Take 5's 8 appearances, while impressive-looking, represent a smaller deviation from expectation. NY Lotto's [52-58] remains the genuine statistical outlier of the group. Explore the full breakdown at Take 5 statistics.

Why Individual Numbers Matter Too

It's worth noting that both 52 and 58 are individually interesting in the NY Lotto data. Number 52 ranks as one of the game's hottest numbers, appearing 16 times in the last 100 draws. When a single number is appearing at above-average frequency, the pairs it forms naturally inflate alongside it — which may partly explain the [52-58] anomaly. The pair's outlier status could be riding on 52's individual heat, or it could be something stranger. The data doesn't say which.

The Payoff — Why These Pairs Keep Appearing (and What You Should Do With That)

So what's the actual takeaway from all of this? It's not what you might expect from a piece about the most common lottery number pairs. The payoff isn't a shortlist of numbers to play. It's something more useful: a clearer sense of what probability actually feels like from the inside.

Randomness doesn't look like a perfectly flat distribution. It looks exactly like this — some pairs hitting 8 times, others hitting zero, patterns emerging and dissolving across windows of data. The [52-58] anomaly in NY Lotto is real in the sense that it happened. Whether it will continue is a question that probability theory answers definitively: it has no opinion on the matter. Each draw resets to the same odds, regardless of what came before.

What the data is useful for is benchmarking. When you see a pair appearing at 7.6x its expected rate, you have a concrete reference point for what a genuine statistical outlier looks like. Most clusters you'll find in lottery data don't come close to that threshold. [52-58] does — and that makes it an interesting data point worth watching, even if the mechanism behind it is nothing more exotic than probability doing what probability does: producing surprises.

  • [52-58] — NY Lotto's top pair, 8 appearances, ~7.6x expected rate
  • [8-21] — Take 5's top pair, 8 appearances, ~3x expected rate
  • [52-64] — Powerball's leader, 7 appearances in 200 draws
  • [22-42] and [19-31] — Mega Millions' dual outliers, 6 appearances each
  • [1-47] — Millionaire for Life's top pair, though its database of only 62 draws limits any conclusions

The numbers are real. The patterns are real. The cause is almost certainly randomness doing what it was always going to do across a large enough dataset. And that, more than any specific pair, is the story worth understanding.

Past lottery pair frequencies do not predict future draws. All lottery outcomes are statistically independent events; this content is provided for educational and entertainment purposes only.

Disclaimer: For entertainment purposes only. Lottery outcomes are random and past results do not influence future drawings. This website is not affiliated with or endorsed by any state lottery commission. In the event of a discrepancy, official winning numbers shall control. Results sourced from NY Open Data (data.ny.gov). Always verify with your official state lottery.