Methodology
ScratchersParadise uses data-driven analytics to help you understand scratch-off ticket values. This page explains exactly how we collect data, compute expected values, and track changes over time. Every number on our site is derived from the formulas described below.
Data Collection
Sources
ScratchersParadise collects prize data directly from official state lottery websites. Each state publishes remaining prize information for active scratch-off games, including the number of unclaimed prizes at each tier and the total prizes originally available.
Scraping Frequency
Our automated system scrapes each state's lottery website once per day. Daily scraping captures prize changes as they occur — when a prize is claimed and the lottery commission updates their records, our next scrape reflects the new remaining count.
Tracking Method
For each game, we record a daily snapshot containing:
- Remaining prizes at every tier (e.g., $1, $5, $50, $500, $100,000)
- Total prizes originally printed at each tier
- Overall odds of winning any prize
- Top prize amount and remaining count
- Ticket price
By comparing consecutive daily snapshots, we compute how many prizes were claimed each day, which tiers are depleting fastest, and how the game's expected value changes over time.
Expected Value (EV) Formula
Formula
EV = Σ (prize_amount × remaining_prizes / estimated_tickets_remaining)
Variable Definitions
EV- Expected Value — the average dollar amount you would receive per ticket if you could buy every remaining ticket. Represents the statistical "fair value" of a single ticket.
prize_amount- The dollar value of a specific prize tier (e.g., $5, $100, $50,000).
remaining_prizes- The number of unclaimed prizes still available at that tier, as reported by the state lottery.
estimated_tickets_remaining- The estimated number of unsold tickets still in circulation. Derived from the total tickets printed minus tickets already sold (inferred from prize claim patterns).
Worked Example
Consider a $20 scratch-off ticket with the following remaining prize data:
| Prize Tier | Remaining Prizes | Prize Amount |
|---|---|---|
| Top Prize | 3 | $500,000 |
| Second Prize | 8 | $10,000 |
| Third Prize | 45 | $1,000 |
| Fourth Prize | 500 | $100 |
| Fifth Prize | 12,000 | $20 |
Estimated tickets remaining: 1,500,000
Step-by-Step Calculation
$500,000 × 3 / 1,500,000 = $1.00$10,000 × 8 / 1,500,000 = $0.053$1,000 × 45 / 1,500,000 = $0.030$100 × 500 / 1,500,000 = $0.033$20 × 12,000 / 1,500,000 = $0.160$1.00 + $0.053 + $0.030 + $0.033 + $0.160 = $1.276The expected value of this $20 ticket is $1.276 per ticket. This means that, on average, each remaining ticket returns $1.276 in prize value.
Return on Investment (ROI) Formula
Formula
ROI = (EV / ticket_price - 1) × 100%
Relationship to EV
ROI expresses the expected value as a percentage of the ticket price. It answers the question: "For every dollar I spend, how much do I expect to get back (or lose)?"
- ROI = 0% means you expect to break even (EV equals ticket price)
- ROI = -50% means you expect to lose half your money (EV is half the ticket price)
- ROI > 0% means the ticket has positive expected value (rare, but possible as prizes deplete)
Derivation from EV Example
Using the same $20 ticket from the EV example above, where we calculated EV = $1.276:
ROI = ($1.276 / $20.00 - 1) × 100%ROI = (0.0638 - 1) × 100%ROI = -0.9362 × 100%ROI = -93.62%An ROI of -93.62% means that for every $20 spent, you expect to receive $1.276 back on average — a loss of $18.724 per ticket. This is typical for scratch-off games, where the house edge ensures the lottery retains a significant portion of ticket sales.
Interpreting ROI Values
| ROI Range | Interpretation |
|---|---|
| -80% to -100% | Very poor value — typical for games with few remaining prizes |
| -50% to -80% | Below average — most scratch-off games fall in this range |
| -20% to -50% | Above average — better relative value compared to other games |
| -20% to 0% | Good value — approaching break-even |
| > 0% | Positive EV — statistically favorable (very rare) |
Daily Value Claimed
Formula
DVC = Σ max(0, prev_remaining - curr_remaining) × prize_amount
How It Works
Daily Value Claimed (DVC) measures the total dollar amount of prizes claimed in a single day for a game. We compute it by comparing two consecutive daily snapshots:
- For each prize tier, calculate the difference in remaining prizes between yesterday and today
- If remaining prizes decreased, multiply the decrease by the tier's prize amount to get the value claimed at that tier
- If remaining prizes increased (data correction by the lottery commission), treat the delta as zero
- Sum the value claimed across all tiers to get the total DVC
Per-Tier Delta Computation
Using the same $20 ticket example, suppose between Day 1 and Day 2 the following changes occurred:
| Prize Tier | Day 1 Remaining | Day 2 Remaining | Delta | Value Claimed |
|---|---|---|---|---|
| $500,000 | 3 | 3 | 0 | $0 |
| $10,000 | 8 | 7 | 1 | $10,000 |
| $1,000 | 45 | 42 | 3 | $3,000 |
| $100 | 500 | 488 | 12 | $1,200 |
| $20 | 12,000 | 11,850 | 150 | $3,000 |
Summation
max(0, 3 - 3) × $500,000 = $0max(0, 8 - 7) × $10,000 = $10,000max(0, 45 - 42) × $1,000 = $3,000max(0, 500 - 488) × $100 = $1,200max(0, 12,000 - 11,850) × $20 = $3,000$0 + $10,000 + $3,000 + $1,200 + $3,000 = $17,200On this day, $17,200 in prizes were claimed across all tiers for this game. This metric helps identify which games are seeing the most activity and how quickly the prize pool is being depleted.
max(0, ...) in the formula ensures we never report negative claims. Occasionally, a lottery commission corrects their data (e.g., adding prizes back), which would show as an increase in remaining count. We treat these corrections as zero claims rather than negative values.
Top Prize Depletion Events
What Is a Depletion Event?
A top prize depletion event occurs when one or more of a game's highest-value prizes are claimed. Because top prizes contribute significantly to a game's expected value, their removal causes a measurable drop in EV and ROI.
Before and After Example
Using our $20 ticket example with 1,500,000 estimated tickets remaining, let's see what happens when one $500,000 top prize is claimed (remaining drops from 3 to 2):
Before Depletion
| Prize Tier | Remaining | EV Contribution |
|---|---|---|
| $500,000 | 3 | $1.000 |
| $10,000 | 8 | $0.053 |
| $1,000 | 45 | $0.030 |
| $100 | 500 | $0.033 |
| $20 | 12,000 | $0.160 |
| Total EV | $1.276 | |
After Depletion (1 top prize claimed)
| Prize Tier | Remaining | EV Contribution |
|---|---|---|
| $500,000 | 2 | $0.667 |
| $10,000 | 8 | $0.053 |
| $1,000 | 45 | $0.030 |
| $100 | 500 | $0.033 |
| $20 | 12,000 | $0.160 |
| Total EV | $0.943 | |
Percentage Change
($0.943 - $1.276) / $1.276 × 100% = -26.1%($1.276 / $20 - 1) × 100% = -93.62%($0.943 / $20 - 1) × 100% = -95.29%A single top prize claim caused EV to drop by 26.1% (from $1.276 to $0.943). The ROI worsened from -93.62% to -95.29%. This demonstrates why top prize depletion events are significant — they represent the largest single-event impact on a game's value.
Why This Matters
ScratchersParadise tracks depletion events and highlights them on game charts. When you see a sharp drop in EV on a game's history chart, it typically corresponds to a top prize being claimed. Games with all top prizes already claimed have significantly lower expected values than games with top prizes still available.
