Interactive systems and methods using clustered real-time event data

A system comprising:

• one or more processors;
• and
• one or more memory storing instructions that, when executed by the one or more processors, cause the system to perform operations including:
• receiving real-time event data for a real-time event;
• determining statistic categories from the real-time event data;
• calculating weighted statistic categories using weight functions;
• clustering the weighted statistic categories into clustered real-time statistics;
• receiving skill allocation point selections;
• and
• calculating a real-time score using the clustered real-time statistics and the skill allocation point selections.

A method comprising:

• receiving, by one or more processors, event data for a video feed of a live sporting event in substantially real-time, the event data including a first measurable statistic and a second measurable statistic captured during the live sporting event;
• determining, by the one or more processors, a first statistical category that is associated with the first measurable statistics and a second statistical category that is associated with the second measurable statistic;
• calculating, by the one or more processors, a first weight for the first statistical category and a second weight for the second statistical category using weight functions;
• receiving, from a client device, skill allocation point selections that include a first allocation to the first statistical category and a second allocation to the second statistical category;
• and
• calculating, using the one or more processors, a real-time score using the first weight, the first allocation to the first statistical category, and the first measurable statistic, and the second weight, the second allocation to the second statistical category, and the second weight.