31 results about "Odds" patented technology

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

Systems and methods for parameter search and adjustment are disclosed. A system can maintain a model configured to generate odds data for one or more live events. The system can receive a request to generate odds values for a first live event. The request can include a set of target values for the first live event. The system can determine that the model is to be updated based on the request. The system can generate, using a set of first parameters for the first live event and prior to updating the model, first odds for the first live event in response to the request. The system can update the model based on the set of target values in the request.

Methods and systems are provided for managing a wagering system. In one exemplary embodiment, state information of a live event such as a sports game may be received in real time. During the event, a plurality of possible future states of the event and their associated probabilities (and odds) may be determined based on the state information, historical information, and current in-game information. A betting market is created for betting on the possible future states at determined odds. The betting market is closed and winning and losing bets are resolved based on updated state information.

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 play 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 play 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.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

A system involving analytics and collecting sensor data in real time. This system allows players to predict and wager on players actions during the course of a play that has yet to occur by collecting sensor data on the players to create a historical database. Utilizing an algorithm, the wagering odds may be improved using the various sensor data collected using artificial intelligence or machine learning. The algorithm may determine the probability of the outcome of the play through player's sensor data and these probabilities of the outcome provide additional data for a wagering platform to provide improved wagering odds to its users.

A method of identifying characteristics of wagers available on individual actions of a sporting event that are highly correlated with a user's history of wagers made and wagers viewed or has preselected specific wager options to be notified about. The user interacts with a betting platform through a mobile application that displays all of the live actions available to be wagered upon, and the odds of those wagers. The user's interaction with the application is recorded, along with their wagering decision, wagering amount, and a plurality of action characteristics, such as teams involved, down and distance, weather, etc., and examined for correlations. As the betting platform receives a new live action available to be wagered on, it compares the characteristics of the new action to the user's history and will notify the user of the new action if it is highly correlated with their past interest.

A wagering system includes an interface module to receive odds data generated by an odds generator. The odds data comprises real time odds with respect to a plurality of wager options corresponding to a competition. The interface module generates display data that includes the plurality of wager options and corresponding real time odds for presentation on a graphical display of a user device. The use device is configured to receive user inputs comprising wager requests including wager amounts based on the displayed real time odds with respect to wager options of the plurality or wager options. The wager requests are given a time stamp corresponding to a time the wager request was submitted by the user. The time stamp is used to determine the real time odds applicable to the wager request. If a comparison of the real time odds applicable to the time stamp and the displayed real time odds the wager request was based indicates that the real time odds applicable to the time the wager request was submitted, a notification is generated for presentation on the user device that prompts the user to confirm the wager request subject to the updated real time odds or resubmit the wager request with a modified wager amount if the user wishes to continue with the wager based on the updated real time odds.

An engine that both calculates “basic odds” (calculated by using historical database mining) and at least one more odds making formula to calculate odds on at least one outcome of a single play in a live event, crossing at least two different odds making formulas to create crossed odds. The embodiments can utilize AI to correlate the crossed odds with the final odds on similar historical plays in which odds were calculated and use machine learning after the play's outcome is known to correlate odds generated by each odds making formula with most profitable odds calculated on previous similar plays. This system may use a hybrid of a basic computer system with AI capability computers and connection to quantum capability computers to assist with calculating odds where the basic computer can determine when and how much to invoke the AI capability, the Quantum capability, and the combined AI capability.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

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.

A method of using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

Embodiments include utilizing artificial intelligence and / or machine learning to produce sports analytics based on historical score data for specific teams, players, events, or other relevant data. Machine learning can be applied to the historical data in order to improve the predicted probabilities. Correlations between event outcomes and available parameters can be analyzed in advance and in real time by an odds module to give accurate and up-to-date probabilities.

Embodiments include utilizing artificial intelligence and / or machine learning to produce sports analytics based on historical score data for specific teams, players, events, or other relevant data. Machine learning can be applied to the historical data in order to improve the betting odds. Correlations between event outcomes and available parameters can be analyzed in advance and in real time by an odds module to give accurate and up-to-date odds.

The disclosed innovation introduces a real-time betting system that evaluates the probabilities of a team, player, or competitor leading, maintaining a lead, or resulting in a tie during dynamic-score competitions. Unlike conventional live betting structures, it offers continuous engagement by assessing probabilities at any moment, independent of the final outcome. The system employs mathematical algorithms within a computing framework, adapting biases based on predefined criteria and utilizing strength indicators for correlation with a team's strength. Notably, it calculates and mitigates biases, determining an average of probabilities. The primary objective is to perform these steps within predetermined time intervals, allowing for dynamic adjustments based on factors like pace of play. This computer-implemented method operates without human interaction, querying an external API for active competitions, processing real-time data, and delivering live odds to clients. The innovation transforms real-time betting, offering a dynamic and engaging wagering experience for users.

Methods and systems are provided for managing a wagering system. In one exemplary embodiment, state information of a live event such as a sports game may be received in real time. During the event, a plurality of possible future states of the event and their associated probabilities (and odds) may be determined based on the state information, historical information, and current in-game information. A betting market is created for betting on the possible future states at determined odds. The betting market is closed and winning and losing bets are resolved based on updated state information.

A system and method for managing a game including generating a grid with a processing device. The grid is comprised of a plurality of squares defined by a plurality of rows and a plurality of columns. The method also includes establishing betting odds for each of the squares and presenting the squares and associated betting odds on a graphical user interface. The betting odds of each of the squares are associated with a likelihood of the square being established as a winning square. A winning square is designated in response to a score of a live sporting event including a digit of a score of a first team being the same as a row number of the square, and a digit of a score of a second team being the same as a column number of the square at the end of a predetermined interval of the live sporting event.

A prediction processing system, method, and method for doing business is disclosed. The prediction processing system can collect, process and publish event-outcome information. The prediction processing system can dynamically filter participants into groupings and iteratively optimize odds calculations over time. A proposal framework consisting of a various abstract proposal types can model and settle propositions. Game propositions can be automatically generated based on event categorization relationships. The prediction processing system can provide game players or others with access to collective intelligence, including prediction information and information derived from prediction information. The prediction processing system can create groupings of better-performing predictors and provide them with additional information not generally available. Better-performing predictors can be provided with additional stakes to increase the weight of their predictions in odds calculations. The prediction processing system can provide access to event-outcome information on a for-fee subscription basis.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based on correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

A method of using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

A system involving analytics and collecting sensor data in real time. This system allows players to predict and wager on players actions during the course of a play that has yet to occur by collecting sensor data on the players to create a historical database. Utilizing an algorithm, the wagering odds may be improved using the various sensor data collected using artificial intelligence or machine learning. The algorithm may determine the probability of the outcome of the play through player's sensor data and these probabilities of the outcome provide additional data for a wagering platform to provide improved wagering odds to its users.

Systems and methods for real-time rebalancing of bet portfolios can include iteratively identifying live odds for a horse racing event. Each iteration can include (i) monitoring a plurality of electronic wagers submitted by a plurality of electronic devices corresponding to the horse racing event, (ii) calculating live data, probables data and will pays data, (iii) calculating an implied probability of winning in a first pool based on the calculated live data, probables data, and will pays data, and (iv) calculating implied win probabilities in a second pool for which odds or probables data isn't available. The systems and methods can include receiving, from a client device, a wager request including a request for a betting strategy recommendation based on undervalued horses, generating a real-time bet package based on the live odds and estimated odds for horses participating in a race, and transmitting the real-time bet package to the client device.

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.

The present disclosure provides a system and method for capturing user sentiment and generating custom market odds across a wide range of event types, enhancing predictive accuracy using artificial intelligence. Unlike traditional systems that limit users to static, third-party odds, the present disclosure allows users to actively participate in the event forecasting process by expressing sentiment and optionally creating custom odds, including for proposition and parlay-style markets.

Systems and methods for real-time rebalancing of bet portfolios in the pari-mutual bet environment can include iteratively identifying live odds for a horse racing event. Each iteration can include (i) monitoring a plurality of electronic wagers submitted by a plurality of electronic devices corresponding to the horse racing event, (ii) calculating live data, probables data and will pays data, (iii) calculating an implied probability of winning in a first pool based on the calculated live data, probables data, and will pays data, and (iv) calculating implied win probabilities in a second pool for which odds or probables data isn't available. The systems and methods can include receiving, from a client device, a request for a betting strategy, determining a first betting strategy based on the live odds and a machine learning model, and transmitting, to the client device, a real-time bet package based on the first betting strategy.

Techniques for determining odds for electronic betting on a live sporting event automatically based on trusted sources are described. For example, information related to an in-progress, live sporting event is received from sources. Each source has a calculated, respective trust score. Once the live sporting event has started, but before a certain outcome of the live sporting event has been determined, possible future values of the outcome are determined. A respective probability for each of the possible future values is calculated based on the information and reliability information. The reliability information is based on the respective trust scores of the sources. Based on the probabilities and repeated calculations of the reliability information, odds for betting that one of the possible future values of the outcome is calculated.

A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.

Disclosed are systems and methods for increasing user engagement with online sports betting. In one embodiment, a method comprises receiving, at a server, a request from a client device to place a bet of a certain bet amount on a sporting event having odds associated with the sporting event. The method can also comprise calculating a plurality of probability ranges, wherein each of the plurality of probability ranges is associated with a multiplier or a non-multiplier, and generating a random number using a pseudo random number generator. The method can also comprise selecting the multiplier associated with a particular probability range when the random number generated falls within the particular probability range. The method can further comprise calculating a boosted possible payout amount using the bet amount, the odds, and the multiplier and revealing the boosted possible payout amount and the multiplier via a slot machine graphic.