Historical Lottery Data Analysis: What 10 Years of Powerball & Mega Millions Draws Actually Reveal

Historical lottery data analysis is the study of past draw results: how often each number has appeared, how long it has been missing, and how the results spread out over time. It will not tell you which numbers come next, because each draw is independent and random. What it can do is replace guesswork with context: real frequencies, full coverage of every draw, and a defense against the cognitive traps that cost players money. This guide works through 10 years of real Powerball and Mega Millions results to show exactly what the data reveals, and where it stops.

Every figure below comes from Lottable’s draw database, which stores the official result of each draw. Each number is tied to a specific window and its dates. Nothing here is invented or rounded by guess.

Why Historical Lottery Data Matters (and What It Can’t Do)

Let’s deal with the skeptic’s objection first, because it’s correct: past results do not change future odds. A Powerball draw doesn’t remember what happened last week. The probability of any single number appearing is fixed by the format (5 numbers drawn from 69) at roughly 7.25% per draw, every time, forever. No amount of statistical analysis of historical lottery data moves that number.

So why analyze it at all? Because the value isn’t prediction; it’s perspective. Historical data does three things a hunch can’t:

• It shows you the real spread. People imagine “hot” numbers are dramatically more likely. Over 10 years of Powerball, the most-drawn number appeared 122 times and the least-drawn 73. That gap is real, but far smaller than intuition expects, and entirely consistent with chance.
• It exposes the gambler’s fallacy. Seeing that a number is “overdue” by 60 draws is interesting history. Believing it’s therefore “due” is the exact mistake that empties wallets. Data, read honestly, inoculates you against it.
• It gives you a baseline. Once you know the expected rate, you can tell the difference between signal and noise: a number that’s genuinely unusual versus one that just looks that way in a short sample.

A serious analyst isn’t hunting for a lucky number. They’re learning the shape of the game so they can choose with open eyes and manage expectations. That’s the whole point of this exercise.

The Dataset: Nearly 1 Million Real Draws Across 196 US Lotteries

Good analysis starts with good data. The numbers in this article are drawn from Lottable’s results database, which tracks official draws across the United States.

The dataset at a glance. As of June 15, 2026, the database holds 926,804 official draws across 196 US lottery games, spanning 48 regions and reaching back to January 1980. Together those draws contain more than 4.24 million individual number records. Results are kept current as new draws are published, so the window never goes stale.

That depth matters for one reason: coverage. Manual analysis usually leans on whatever a single official site happens to show, often only the last few months. A database that holds every recorded draw lets you choose your window deliberately instead of inheriting someone else’s. And because each draw is the official result, the frequencies you compute are the real ones, not a sample of a sample.

It also forces an honest constraint we follow throughout this article: you analyze a game only over the period its current format has been in place. Powerball has existed since 1992, but it switched to its current 5/69 matrix in October 2015. Mixing the old format into a frequency count would distort every number. So the windows below are deliberately scoped to each game’s current rules.

Short View vs. Mid-Range vs. Full Decade: Why the Data Window Changes Everything

Here is the single most important idea in historical data analysis for lottery prediction, and the one most “hot numbers” lists get wrong: the window you choose changes the answer completely. A short window is loud and misleading; a long window is quiet and honest.

Watch what happens to one ordinary Powerball number, ball 52, as the window grows:

Bar chart showing how often Powerball ball number 52 appeared across three data windows. Short view (6 months, 78 draws): 15.38%, more than double the expected 7.25%. Mid-range (2 years, 312 draws): 10.90%. Full decade (10 years, 1,360 draws): 7.94%, almost exactly the expected rate. The dashed line marks the expected 7.25% rate (5 picks out of 69 balls). The wider the window, the closer the data gets to the true rate.

15.4% Short view, ball 52, 6 months

10.9% Mid-range, 2 years

7.9% Full decade, 10 years

7.25% Expected rate

Bar chart showing how often Powerball ball number 52 appeared across three data windows. Short view (6 months, 78 draws): 15.38%, more than double the expected 7.25%. Mid-range (2 years, 312 draws): 10.90%. Full decade (10 years, 1,360 draws): 7.94%, almost exactly the expected rate. The dashed line marks the expected 7.25% rate (5 picks out of 69 balls). The wider the window, the closer the data gets to the true rate.

Why the window is an analyst’s first decision

Ball 52 is not an exception, the same compression happens across all 69 Powerball numbers. In the Short view, the standard deviation of appearance rates across the full pool is 3.35%, producing a min-max spread of 14 percentage points. In the Mid-range it drops to 1.47%. In the Full decade it reaches 0.81%, a spread of just 3.6 points. The numbers didn’t change; the sample grew large enough to drown the noise. This is why the window you analyze from matters as much as the numbers you look at.

In the Short view (6 months, 78 draws, Dec 14 2025 to Jun 11 2026), ball 52 appeared in 15.38% of draws, more than double the expected 7.25%. On a six-month “hot numbers” page it would look unstoppable. Stretch to the Mid-range (2 years, 312 draws) and it cools to 10.90%. Over the Full decade (10 years, 1,360 draws) it settles at 7.94%, practically the expected rate. The number didn’t change its behavior. The sample just got big enough to tell the truth.

This is regression to the mean in plain sight. In small samples, random variation produces dramatic-looking streaks; in the Short view, Powerball’s hottest number hit 15.38% while its coldest appeared in just 1.28% of draws. At Full decade scale that spread collapses, falling from 8.97% at the top to 5.37% at the bottom. The “hot number” of any given month is mostly an artifact of the short window, which is why choosing the window is the first real decision in any lottery historical data analysis.

What 10 Years of Powerball Data Reveals: Frequencies, Gaps and Clusters

Powerball has used its current format (five white balls from 1 to 69 plus a red Powerball from 1 to 26) since October 2015. That gives a clean window of 1,360 draws (Oct 29 2015 to Jun 11 2026), over a decade under identical rules. If everything were perfectly uniform, each number would appear about 99 times (5 balls × 1,360 draws ÷ 69). Here’s what the real Powerball historical data analysis shows:

Category	Numbers	Appearances
Hottest	61, 21, 64, 28, 23	122, 121, 120, 118, 116
Coldest	13, 26, 49, 46, 34	73, 78, 79, 81, 84
Most overdue	26, 23, 54, 50, 20	last seen 60, 40, 40, 38, 37 draws ago

Ball 61 leads with 122 appearances (8.97% of draws), trailed by 21 (121) and 64 (120). At the cold end, 13 brings up the rear with 73 (5.37%). The full distance between most and least frequent is 49 appearances across ten years: visually striking in the heatmap below, statistically unremarkable.

Frequency heatmap of the 69 main Powerball balls over the last 1,360 draws (Oct 29 2015 to Jun 11 2026). The most frequent is 61 with 122 appearances; the least frequent is 13 with 73. The expected average per number is about 99.

Ball 61 122 appearances Most frequent

Ball 13 73 appearances Least frequent

Ball 26 60 draws without Most overdue

~99 appearances Expected average

Expected average: ~99 appearances

Frequency heatmap of the 69 main Powerball balls over the last 1,360 draws (Oct 29 2015 to Jun 11 2026). The most frequent is 61 with 122 appearances; the least frequent is 13 with 73. The expected average per number is about 99.

A few patterns worth naming:

• The red Powerball (1 to 26) is a separate pool. The most frequent are 4 and 14, with 64 appearances each, then 21 (63) and 24 (62). The most overdue is 8, which hasn’t appeared in 135 draws, the longest drought anywhere in the game.
• Clusters and sums. The five main numbers sum to 176.8 on average, almost always landing between 100 and 250 (historical range: 52 to 299). On a typical draw 2.55 of the five numbers are odd, so the usual mix is three-even/two-odd or the reverse, not five of a kind.
• Scale, for context. Powerball’s jackpot odds are 1 in 292,201,338, and the largest jackpot inside this window reached $2.04 billion. The most recent draw in the window (Jun 11 2026) was 12 · 31 · 38 · 60 · 66 with Powerball 14.

None of this is predictive. Ball 61 being “hottest” doesn’t make it likelier on Saturday. It’s a precise description of what a decade of randomness produced.

Mega Millions: A 10-Year Statistical Snapshot

Mega Millions moved to its current format (five balls from 1 to 70 plus a Mega Ball from 1 to 25) in October 2017, so its clean window is slightly shorter: 900 draws (Nov 1 2017 to Jun 13 2026). The expected average per number here is about 64.

Category	Numbers	Appearances
Hottest	10, 17, 31, 3, 14	84, 81, 79, 77, 76
Coldest	51, 67, 45, 65, 50	48, 51, 52, 52, 53
Most overdue	29, 46, 2, 70, 67	last seen 90, 51, 42, 41, 30 draws ago

Ball 10 is the Mega Millions leader with 84 appearances (9.33%), ahead of 17 (81) and 31 (79). The coldest is 51, with just 48 (5.33%). And notice 29: it has gone 90 draws without appearing, the longest dry spell in the main pool. As always, that doesn’t make it “due”; it simply shows how far ordinary randomness can stretch.

Frequency heatmap of the 70 main Mega Millions balls over the last 900 draws (Nov 1 2017 to Jun 13 2026). The most frequent is 10 with 84 appearances; the least frequent is 51 with 48. The expected average per number is about 64.

Ball 10 84 appearances Most frequent

Ball 51 48 appearances Least frequent

Ball 29 90 draws without Most overdue

~64 appearances Expected average

Expected average: ~64 appearances

Frequency heatmap of the 70 main Mega Millions balls over the last 900 draws (Nov 1 2017 to Jun 13 2026). The most frequent is 10 with 84 appearances; the least frequent is 51 with 48. The expected average per number is about 64.

A few more findings from the Mega Millions data:

• The Mega Ball (1 to 25) favors 24 (47 times), 22 (46) and 18 (44). The most overdue is 25, absent for 124 draws.
• The distribution mirrors Powerball almost exactly: an average sum of 174.1 (range 48 to 326) and 2.42 odd numbers per draw. Two different games, with different pools, converge on nearly the same shape, a good sign that both draws are fair.
• Scale. Jackpot odds are 1 in 302,575,350; the biggest jackpot in this window hit $1.6 billion. The most recent draw (Jun 13 2026) was 9 · 17 · 24 · 39 · 51 with Mega Ball 3 and a $413 million jackpot.

That two independent games land on such similar averages is the clearest evidence of all: there’s no hidden bias to exploit, only a distribution to understand.

How to Run This Analysis Yourself (Manual vs. Automated)

You don’t need a data science degree to analyze historical lottery data. You need a clear window, a complete set of results, and the discipline to read them honestly. There are two routes.

The manual route. Download or copy the full result history for your game from the official lottery site, drop it into a spreadsheet, and build it out:

1. Filter to the current format only (for Powerball, draws since October 2015).
2. Split each draw into individual numbers, one per row.
3. Use COUNTIF to tally how many times each number appears, then sort to find hot and cold.
4. Compute the per-draw sum and odd/even split to read the distribution.
5. Recompute for three windows: Short view (6 months), Mid-range (2 years), and Full decade (10 years), so you can see the noise shrink.

It works. It also takes hours per game, breaks the moment you fat-finger a formula, and has to be redone every time a new draw lands. For one game, fine. For a state lottery like California’s SuperLotto Plus, plus Powerball, plus Mega Millions, the manual approach collapses under its own upkeep.

The automated route. This is what Lottable does. You pick a game and a window, and it returns frequencies, overdue numbers, and distribution instantly, with every figure tied to its dates and source, across 196 US games. The same statistical analysis of historical lottery data you’d build by hand, current to the latest draw, in seconds. You can even ask the assistant in plain language (“what are the hot and cold numbers in Mega Millions this year?”) and get the table back with context. Explore the data in Lottable.

FAQ

Can historical data predict lottery numbers? No. Each draw is independent and random, so historical lottery data analysis cannot predict which numbers will be drawn next: no frequency, streak, or “overdue” count changes the odds. Powerball’s jackpot odds stay 1 in 292,201,338 and Mega Millions’ 1 in 302,575,350 regardless of past results. What the data is useful for is understanding the real spread of outcomes, spotting the gambler’s fallacy, and choosing with realistic expectations. Always play responsibly and only with money you can afford to lose.

How far back should I analyze? Analyze the entire period the game’s current format has been in place, but no further. For Powerball that’s October 2015 (the 5/69 matrix); for Mega Millions, October 2017 (5/70). Mixing in an older format distorts every frequency. Within that window, longer is more reliable: as our Short view vs. Full decade comparison showed, short windows exaggerate streaks while long windows reveal the true, near-uniform rate.

Where does Lottable get its data? From official lottery results, stored and kept current in a database of 926,804 draws across 196 US games (more than 4.24 million individual number records) reaching back to 1980. Every statistic is computed over a stated window with its dates, so any figure can be traced back to the draws behind it.