Systems and methods for predicting future event outcomes based on data analysis

A method for aggregating electronic data from at least one Internet server and proprietary data to identify and initially predict an outcome of a future event and to subsequently update the initial prediction, the method comprising:

• accessing data scraped from the Internet, the data being associated with at least one future event;
• storing the scraped data;
• determining, from the scraped data, an initial prediction of the outcome of the at least one future event;
• generating, from the scraped data, an initial likelihood indication associated with the initial prediction;
• transmitting the initial prediction and the initial likelihood indication to a device;
• receiving proprietary information;
• storing the proprietary information;
• determining, using the scraped data and the non-scraped proprietary information, a subsequent likelihood indication reflecting a change in the initial likelihood associated with the initial prediction;
• and
• transmitting the subsequent likelihood indication to the device.

A non-transitory computer readable storage media storing instructions for aggregating electronic data from at least one Internet server and proprietary data to identify and initially predict an outcome of a future event and to subsequently update the initial prediction, the instructions comprising:

• accessing data scraped from the Internet, the data being associated with at least one future event;
• storing the scraped data;
• determining, from the scraped data, an initial prediction of the outcome of the at least one future event;
• generating, from the scraped data, an initial likelihood indication associated with the initial prediction;
• transmitting the initial prediction and the initial likelihood indication to a device;
• receiving proprietary information;
• storing the proprietary information;
• determining, using the scraped data and the proprietary information, a subsequent likelihood indication reflecting a change in the initial likelihood associated with the initial prediction;
• and
• transmitting the subsequent likelihood indication to the device.

A hybrid prediction system for aggregating electronic data from at least one Internet server and proprietary data, to identify and initially predict an outcome of a future event and to subsequently update the initial prediction, the system comprising:

• at least one processor configured to execute instructions;
• and
• a memory storing the instructions to:
• access data scraped from the Internet, the data being associated with at least one future event;
• store the scraped data;
• determine, from the scraped data, an initial prediction of the outcome of the at least one future event;
• generate, from the scraped data, an initial likelihood indication associated with the initial prediction;
• transmit the initial prediction and the initial likelihood indication to a device;
• automatically receive proprietary information obtained through automated scraping of at least one proprietary data source;
• store the proprietary information;
• determine, using the scraped data and the proprietary information, a subsequent likelihood indication reflecting a change in the initial likelihood associated with the initial prediction;
• and
• transmit the subsequent likelihood indication to the device.