Should You Buy 5 Scratch-Offs at One Store or Spread Across 5 Stores?
It's one of the oldest debates among scratch-off players: Is it better to buy all your tickets at one store, or spread them across different locations?
Some players swear by their "lucky store." Others insist that spreading out gives you access to different packs and better overall chances. Both sides have passionate defenders — but neither side has ever run the actual numbers.
We did. We used real payout data from 200+ New York lottery retailers and ran 100,000 Monte Carlo simulations for each strategy. Here's what we found.
The Data: How Much Do NY Stores Actually Vary?
Before we can simulate anything, we need to understand how different stores actually are. We pulled 30-day payout data from the NY Open Data API for 200 high-volume lottery retailers across the state.
The spread is enormous. The lowest-payout store returned 58.6 cents on the dollar, while the highest returned $1.26 for every dollar sold (that store had recent big winners). The standard deviation across all stores is 9.9 percentage points — that's not a rounding error, it's a meaningful difference in outcomes.
A store paying out at 80% versus 60% means you're getting back $4 more on every $20 you spend there. Over a year of weekly play, that's $200+.
Why Do Stores Have Different Payout Rates?
This isn't about "lucky" stores. There are structural reasons why one retailer pays better than another in any given month:
- Pack position: Each pack of tickets has a fixed number of winners (e.g., ~30 winners per 100-ticket pack for a $10 game). If someone just bought the losers, the remaining tickets in that pack are richer than average.
- Volume dynamics: Low-volume stores churn through packs slowly, meaning a single big winner skews their payout rate for weeks. High-volume stores regress to the mean faster.
- Delivery timing: Stores that just received fresh packs have a full, unplayed set of winners available. Stores near the end of a pack may have fewer prizes left.
- Game mix: A store stocking mostly $20-$30 tickets (which have ~74-78% payout rates) will show higher overall payouts than one selling mostly $1 tickets (~55% payout rate).
The Simulation: 100,000 Trials Each
We modeled two strategies, each buying $50 worth of $10 scratch-off tickets:
- Strategy A — Concentrate: Buy all 5 tickets at one randomly selected store
- Strategy B — Diversify: Buy 1 ticket at each of 5 randomly selected stores
We used the real distribution of store payout rates (adjusted to the statewide average of ~62%) and ran 100,000 independent trials for each strategy. Each ticket was modeled as a binary outcome based on the store's payout probability.
The Results
| Metric | 5 at 1 Store | 1 at 5 Stores |
|---|---|---|
| Total cost | $50 | $50 |
| Average return | $31.00 | $30.99 |
| Average profit/loss | −$19.00 | −$19.01 |
| Return volatility (stdev) | $11.68 | $10.88 |
| Break even or better | 12.0% | 9.3% |
| Total wipeout ($0 back) | 1.2% | 0.8% |
The expected value is virtually identical
The average return is $31.00 vs. $30.99 on a $50 spend. A difference of one penny across 100,000 trials. If you're choosing stores at random, the strategy literally doesn't matter for long-run expected outcomes.
But the variance tells a different story
The concentrate strategy has ~7% higher volatility ($11.68 vs. $10.88 standard deviation). In practical terms:
- Higher ceiling: 12.0% chance of breaking even vs. 9.3% when spreading out. If your store happens to be running hot, all five of your tickets benefit.
- Lower floor: 1.2% chance of losing everything vs. 0.8%. When your one store is cold, you take the full hit on all 5 tickets.
Think of it like investing: concentrating is high-beta, diversifying is low-beta. Same expected return, different risk profile.
The Plot Twist: What If You Pick Your Store Wisely?
Here's where it gets interesting. The simulation above assumes random store selection. But what if you use data to pick a top-performing store?
We re-ran the simulation with a new matchup:
- Strategy A: Buy 5 tickets at a store selected from the top 10% by payout rate
- Strategy B: Buy 1 ticket each at 5 average stores (middle 50%)
| Metric | 5 at Top Store | 1 at 5 Average |
|---|---|---|
| Average return | $41.26 | $31.13 |
| Average profit/loss | −$8.74 | −$18.87 |
| Edge per $50 spent | +$10.13 | |
The Verdict
If you're picking stores randomly, it doesn't matter. Same expected return either way. You're choosing between slightly wilder swings (concentrate) and slightly smoother losses (diversify).
But if you use data to pick your store? Concentrating 5 tickets at a top-rated store cuts your expected loss nearly in half — from $18.87 to $8.74 per $50 spent. That's a $10.13 edge, and it compounds every time you play.
The store matters more than the strategy. Where you buy is the variable that actually moves the needle.
How to Find a Top-Performing Store
Our Store Finder ranks every NY lottery retailer using a Smart Score that combines nine real-time factors:
- Payout rate — Bayesian-smoothed win percentage (not just raw numbers)
- Consistency — How many months the store has been above average
- Momentum — Is the payout trending up or down?
- Freshness — Was data reported recently? Active stores score higher
- Fresh inventory — Did the store just get a delivery of new packs?
- Statistical significance — Enough data to be confident in the score
- Win streak — Consecutive above-average payout days
The balanced profile weights these factors using a machine-learning model that retrains nightly against actual next-day outcomes. It's not a crystal ball, but it measurably outperforms random store selection.
Important Caveats
We're data nerds, not dream sellers. Here's what this analysis doesn't mean:
- No strategy makes scratch-offs profitable. Even the best store still has a negative expected value. The statewide average payout is ~62%, meaning you lose ~38 cents per dollar long-term. Data helps you lose less, not win.
- Past payout doesn't guarantee future payout. A store's 30-day win rate reflects who happened to buy tickets there. Consistency scores help filter out noise, but variance is real.
- Pack theory has limits. While ticket packs have fixed winners, packs are reshuffled randomly. Consecutive tickets from the same roll are still independent draws. There's no "due" theory that holds up.
- This is aggregate data. NY Open Data gives us total scratch-off dollars settled and paid per store — not a per-game breakdown. A store's high payout could come from one lucky $30 ticket buyer, not the $5 game you're playing.
Bottom Line
The classic "one store vs. five stores" question has a boring answer when you're choosing randomly: it's a coin flip.
But the real question — "does it matter which store?" — has a much more interesting answer: yes, a lot. The variance between stores is real, measurable, and large enough to cut your expected losses in half if you choose wisely.
So don't debate whether to concentrate or diversify. Debate which store to concentrate at.
Find your top-rated store
Our Store Finder scores 11,000+ NY retailers in real-time using 9 data-backed factors.
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Data sourced from nylottery.ny.gov and data.ny.gov. Updated daily. For entertainment and informational purposes only. Please play responsibly.
Alex builds the Smart Score model and analyzes scratch-off data daily using official NY Lottery prize reports and open data APIs. All rankings are based on math, not gut feeling. Learn about our methodology.