AdrenalineIP

A method, system, and apparatus for collecting, manipulating, transmitting, and interpreting data. In one embodiment, a plurality of sensors configured to capture real-time sensor data from a live event including a plurality of actions; one or more sport gaming platforms, and a user device, where the one or more sports gaming platforms are configured to: receive and store the captured sensor data, filter a historical sensor database on similar event data matching an ID for an upcoming action, wherein the ID identifies odds on upcoming plays, determine, based on artificial intelligence and/or machine learning and before occurrence of the upcoming action, that there is a high correlation between the captured sensor data and the similar event data, determine a probability of occurrence of the upcoming play associated with the wager ID, and update odds offered by the exchange system.

A method of identifying wagers trends from a user's wagering history in order to alert the user of similar wagers that are available. The user interacts with a betting platform which displays all of the live plays available to be wagered upon, and the odds of those wagers. The user's interaction with the application may be recorded, along with their wagering data and a plurality of play characteristics. As the betting platform receives a new live play available to be wagered on, it may compare the characteristics of the new play to the user's history and may notify the user of the new play if it is highly correlated with their past wagering interactions with the platform.

Methods and systems for determining and providing automatic flags for what is classified as a “significant” bet. When the user makes a significant bet, a software application automatically records the play and may also record the user's reaction. The user does not have to provide an indication to record these clips.

A system that allows a user to set threshold preferences for wager limits and the amount of time a wager is placed to allow the user to authenticate or identify themselves when the thresholds are exceeded to reconfirm that the user wishes to place a wager. The system compares the wagers placed by the user to thresholds inputted by the user. If the wager parameters exceed the inputted thresholds, the wagering network reconfirms the wager with the user by requesting a means of authentication to ensure that it is the user placing the wager and determining if the user wants to place the wager and that it was not placed in error.

The present disclosure provides a system and method of using telemetry data to determine wager odds by receiving time-stamped position information captured by sensors, such as telemetry data, of one or more participants of one or both is the first set of participant(s) and/or the at least second set of participant(s) in the competition, and then using the time-stamped position information to determine a first action situation of the competition, and determining the probability and wager odds of a first future event occurring at the competition based on at least the first action situation and playing data associated with at least a subset of one or both of the first set of one or more participants and the at least second set of one or more participants and historical playing data.

Improving the profitability of an in-play betting system by identifying high frequency and high wager amount users and promoting an increase in wager amount or frequency by offering incentives to increase a user's wager amount, if identified to be a high frequency bettor or wager frequency, if identified to be a high wager amount bettor.

A method of monitoring user behavior to adjust betting odds based upon that behavior or to identify users who may be cheating, where users are subscribers of a proprietary data management and analytic software system/wagering platform. The system monitors users' behavior for deviations from their normal betting habits or patterns to detect cheating and lower the threshold for winning when user patterns change.

Methods and systems for determining and providing automatic flags for what is classified as a “significant” bet. When the user makes a significant bet, a software application automatically records the play and may also record the user's reaction. The user does not have to provide an indication to record these clips.

The present disclosure provides a system to time stamp user interactions on a wagering platform or application to determine user behaviors allowing the platform or application to group the users in specific cohorts or groups related to their behaviors on the platform or application. Also, the system provides an AI process that allows the use of a plurality of time-stamped parameters that are used to determine the user behaviors and interactions with the platform or application.

Improving the profitability of an in-play betting system by identifying high frequency and high wager amount users and promoting an increase in wager amount or frequency by offering incentives to increase a user's wager amount, if identified to be a high frequency bettor or wager frequency, if identified to be a high wager amount bettor.