Scratch Off Simulator

Probability explained with the same sourced issue model used by the simulator.

Interactive probability guide

The Math of Scratch-Off Lotteries

A scratch ticket can win often and still lose money on average. A short lucky run can sit far above the long-run return. A losing streak does not make the next independent simulation “due.” The visuals below make those three ideas observable instead of asking you to accept them as slogans.

Worked example: Texas Lottery Game 2755, a $5 ticket with 5,472,750 printed tickets. Its published issue distribution implies a $3.23 expected payout per ticket, a −$1.77 expected net, and 64.6% RTP. Texas Lottery source.

Expected value

Winning sometimes is not the same as breaking even on average

Expected value weights every possible payout by its probability. For the printed Game 2755 issue, the expected payout is about $3.23 on a $5 ticket. That does not predict the next ticket; it describes the average payout across repeated draws from the issue distribution.

E[payout] = Σ probability × payout
Ticket cost$5.00
Expected payout$3.23
Expected net−$1.77
RTP64.6%

The expected payout fills 64.6% of the $5 cost line.

Open the sourced prize table in the simulator to inspect every tier behind this average.

Variance and the law of large numbers

More plays make the average clearer, not more profitable

Rare high payouts create large short-run swings. The printed Game 2755 issue model has an outcome standard deviation of about $86.49 per ticket even though its expected payout is only $3.23. As the sample grows, the running average tends to move toward the 64.6% theoretical RTP, while any finite run can still finish above or below it.

Running average payout as a percentage of ticket cost compared with the 64.6% theoretical RTP

Run 100 tickets to compare one reproducible sample with the theoretical return.

Run the full simulator when you want a fresh random batch rather than the reproducible teaching sequence.

Independent trials and streaks

A losing streak does not make the next simulated ticket due

In this simulator's independent-draw issue model, the next draw always uses the same printed distribution. Game 2755's any-prize probability is about 26.52%, so five previous simulated losses do not raise the next simulated draw above 26.52%. The probability of seeing a whole losing streak can be small while the conditional probability of the next draw remains unchanged.

Next simulated draw: any prize26.52%
Chance of 5 losses from the start21.42%

After five simulated losses, the next independent draw is still 26.52% for any prize.

Physical inventory is different from this model. Scratch tickets come from a finite issue, and complete live unsold-ticket inventory is not published here. Recent real-world losses therefore do not justify claiming that a winner is “due,” and this page does not estimate current remaining-ticket odds.

Test repeated batches in the simulator.

Sources and scope

The numerical example uses the same verified Texas Lottery Game 2755 printed issue distribution as the simulator. The page explains probability concepts; it does not recommend tickets or infer current expected value from unclaimed prizes.