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Hypothesize by prevalence of winners amongst all the tickets in circulation use that as assumption to calculate the probability of results you see in your own three tickets, the more information is collected the more precise hypothesis will be

Bell curve distribution:

For instance, there’s the famous “bell curve,” modeled on a normal distribution, which applies to many phenomena. When predicting the average age of a random group of people, you can assume that few people are extremely young or extremely old; most fall somewhere in the middle of the bell. This way, if you’re going on a blind date, you can be reasonably sure you won’t be dining with a nonagenarian.

Power law distribution:

the power-law-distribution, suggests we reach the median average by having most observations falling below it and only a few enormous ones falling above it.

• An excellent example of this is wealth distribution. Generally speaking, there are many poor people and only a select few that own the lion’s share of the world’s wealth.