Coin toss pattern recognition problem

machine_learning

#1

Imagine a auditorium with 1000+ participants. Each person has a coin which is unbiased. They toss the coin at their will . while we record data.

Our data includes;
The time of toss, the coin used, result(heads or tails)

pattern example:
There is a particular participant who tosses frequently. However every day at 1:00 pm, whenever her tosses he found this anomaly that, he gets a heads. That-is, if time =1:00 pm, and he tosses coin, he gets heads . This result occurred in last ten days and today is 11th day.

We would like to predict with certain confidence that , today 11th day at 1:00 pm, we will gets heads for that participant.

Can you guide me, suggest me how to find patterns as above example pointed out?