CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] The present patent application claims benefit and priority to U.S. Patent Application 17/496,120 filed on October 7, 2021, and U.S. Provisional Patent Application No. 63/117,019 entitled "METHOD OF USING INTEGRATED SPORTS WAGERING SYSTEM" filed on November 23, 2020, which is hereby incorporated by reference into the present disclosure.

FIELD

[0002] The present disclosures are generally related to in-play wagering on live sporting events.

BACKGROUND

[0003] An issue with wagering applications and wagering platforms is that there is no additional benefit to the user while attending a sporting event.

[0004] Also, while attending a sporting event, the user cannot connect directly to the sensor data collected by the wagering platform and have it sent to the user’s mobile device.

[0005] Lastly, the user may be aware of certain data types that they can witness at the live event, but which are not represented on the wagering platform or wagering application.

[0006] Thus, there is a need in the prior art to allow users of wagering platforms an additional benefit of additional sensor data while attending a live event. SUMMARY

[0007] Methods, systems, and apparatuses for an integrated sports wagering system. In one embodiment, a method for using an integrated sports wagering system on a sport wagering network can include connecting to at least one sensor associated with at least one live event; receiving sensor data with a sensor data module from at least one sensor; analyzing and storing the sensor data in a sensor database; extracting and sending sensor data with the sensor data module to an event data module; determining if user geolocation data matches geolocation data for the live event; and displaying the sensor data on a wagering application.

[0008] In another embodiment, a system for using an integrated sports wagering system on a sport wagering network can include a sensor data module; an event data module; a sensor database; and a GUI, where the sensor data module is configured to connect to at least one sensor at a live event, request and receive at least sensor data, analyze and store at least sensor data, determine if there is at least one request for sensor data, and extract and send at least sensor data to the event data module; the event module is configured to connect at least one user to a live event, determine if user geolocation data matches live event geolocation data, request the sensor data from the sensor data module, receive the sensor data from the sensor data module, and display the sensor data on a wagering application;the sensor database is configured to contain at least one set of analyzed sensor data from the live event; and the GUI is configured to display the at least one set of analyzed sensor data on a mobile application.

BRIEF DESCRIPTIONS OF THE DRAWINGS

[0009] The accompanying drawings illustrate various embodiments of systems, methods, and various other aspects of the embodiments. Any person with ordinary art skills will appreciate that the illustrated element boundaries (e.g., boxes, groups of boxes, or other shapes) in the figures represent an example of the boundaries. It may be understood that, in some examples, one element may be designed as multiple elements or that multiple elements may be designed as one element. In some examples, an element shown as an internal component of one element may be implemented as an external component in another and vice versa. Furthermore, elements may not be drawn to scale. Non-limiting and non-exhaustive descriptions are described with reference to the following drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating principles.

[0010] FIG. 1: illustrates a method of using an integrated sports wagering system, according to an embodiment.

[0011] FIG. 2: illustrates a sensor data module, according to an embodiment.

[0012] FIG. 3: illustrates an event data module according to an embodiment.

DETAILED DESCRIPTION

[0013] Aspects of the present invention are disclosed in the following description and related figures directed to specific embodiments of the invention. Those of ordinary skill in the art will recognize that alternate embodiments may be devised without departing from the spirit or the scope of the claims. Additionally, well-known elements of exemplary embodiments of the invention will not be described in detail or will be omitted so as not to obscure the relevant details of the invention.

[0014] As used herein, the word exemplary means serving as an example, instance or illustration. The embodiments described herein are not limiting, but rather are exemplary only. The described embodiments are not necessarily to be construed as preferred or advantageous over other embodiments. Moreover, the terms embodiments of the invention, embodiments, or invention do not require that all embodiments of the invention include the discussed feature, advantage, or mode of operation.

[0015] Further, many of the embodiments described herein are described in terms of sequences of actions to be performed by, for example, elements of a computing device. It should be recognized by those skilled in the art that specific circuits can perform the various sequence of actions described herein (e.g., application specific integrated circuits (ASICs)) and/or by program instructions executed by at least one processor. Additionally, the sequence of actions described herein can be embodied entirely within any form of computer-readable storage medium such that execution of the sequence of actions enables the processor to perform the functionality described herein. Thus, the various aspects of the present invention may be embodied in several different forms, all of which have been contemplated to be within the scope of the claimed subject matter. In addition, for each of the embodiments described herein, the corresponding form of any such embodiments may be described herein as, for example, a computer configured to perform the described action.

[0016] With respect to the embodiments, a summary of terminology used herein is provided.

[0017] An action refers to a specific play or specific movement in a sporting event. For example, an action may determine which players were involved during a sporting event. In some embodiments, an action may be a throw, shot, pass, swing, kick, and/or hit performed by a participant in a sporting event. In some embodiments, an action may be a strategic decision made by a participant in the sporting event, such as a player, coach, management, etc. In some embodiments, an action may be a penalty, foul, or other type of infraction occurring in a sporting event. In some embodiments, an action may include the participants of the sporting event. In some embodiments, an action may include beginning events of sporting event, for example opening tips, coin flips, opening pitch, national anthem singers, etc. In some embodiments, a sporting event may be football, hockey, basketball, baseball, golf, tennis, soccer, cricket, rugby, MMA, boxing, swimming, skiing, snowboarding, horse racing, car racing, boat racing, cycling, wrestling, Olympic sport, eSports, etc. Actions can be integrated into the embodiments in a variety of manners.

[0018] A “bet” or “wager” is to risk something, usually a sum of money, against someone else’s or an entity based on the outcome of a future event, such as the results of a game or event. It may be understood that non-monetary items may be the subject of a “bet” or “wager” as well, such as points or anything else that can be quantified for a “bet” or “wager.” A bettor refers to a person who bets or wagers. A bettor may also be referred to as a user, client, or participant throughout the present invention. A “bet” or “wager” could be made for obtaining or risking a coupon or some enhancements to the sporting event, such as better seats, VIP treatment, etc. A “bet” or “wager” can be made for certain amount or for a future time. A “bet” or “wager” can be made for being able to answer a question correctly. A “bet” or “wager” can be made within a certain period. A “bet” or “wager” can be integrated into the embodiments in a variety of manners.

[0019] A “book” or “sportsbook” refers to a physical establishment that accepts bets on the outcome of sporting events. A “book” or “sportsbook” system enables a human working with a computer to interact, according to set of both implicit and explicit rules, in an electronically powered domain to place bets on the outcome of sporting event. An added game refers to an event not part of the typical menu of wagering offerings, often posted as an accommodation to patrons.

A “book” or “sportsbook” can be integrated into the embodiments in a variety of manners.

[0020] To “buy points” means a player pays an additional price (more money) to receive a half-point or more in the player’s favor on a point spread game. Buying points means you can move a point spread, for example, up to two points in your favor. “Buy points” can be integrated into the embodiments in a variety of manners.

[0021] The “price” refers to the odds or point spread of an event. To “take the price” means betting the underdog and receiving its advantage in the point spread. “Price” can be integrated into the embodiments in a variety of manners.

[0022] “No action” means a wager in which no money is lost or won, and the original bet amount is refunded. “No action” can be integrated into the embodiments in a variety of manners.

[0023] The “sides” are the two teams or individuals participating in an event: the underdog and the favorite. The term “favorite” refers to the team considered most likely to win an event or game. The “chalk” refers to a favorite, usually a heavy favorite. Bettors who like to bet big favorites are referred to “chalk eaters” (often a derogatory term). An event or game in which the sportsbook has reduced its betting limits, usually because of weather or the uncertain status of injured players, is referred to as a “circled game.” “Laying the points or price” means betting the favorite by giving up points. The term “dog” or “underdog” refers to the team perceived to be most likely to lose an event or game. A “longshot” also refers to a team perceived to be unlikely to win an event or game. “Sides,” “favorite,” “chalk,” “circled game,” “laying the points price,” “dog,” and “underdog” can be integrated into the embodiments in a variety of manners. [0024] The “money line” refers to the odds expressed in terms of money. With money odds, whenever there is a minus (-), the player “lays” or is “laying” that amount to win (for example, $100); where there is a plus (+), the player wins that amount for every $100 wagered. A “straight bet” refers to an individual wager on a game or event that will be determined by a point spread or money line. The term “straight-up” means winning the game without any regard to the “point spread,” a “money-line” bet. “Money line,” “straight bet,” and “straight-up” can be integrated into the embodiments in a variety of manners.

[0025] The “line” refers to the current odds or point spread on a particular event or game. The “point spread” refers to the margin of points in which the favored team must win an event by to “cover the spread.” To “cover” means winning by more than the “point spread.” A handicap of the “point spread” value is given to the favorite team so bettors can choose sides at equal odds. “Cover the spread” means that a favorite wins an event with the handicap considered or the underdog wins with additional points. To “push” refers to when the event or game may end with no winner or loser for wagering purposes, a tie for wagering purposes. A “tie” is a wager in which no money is lost or won because the teams’ scores were equal to the number of points in the given “point spread.” The “opening line” means the earliest line posted for a particular sporting event or game. The term “pick” or “pick ’em” refers to a game when neither team is favored in an event or game. “Line,” “cover the spread,” “cover,” “tie,” “pick,” and “pick-em” can be integrated into the embodiments in a variety of manners.

[0026] To “middle” means to win both sides of a game; wagering on the “underdog” at one point spread and the favorite at a different point spread and winning both sides. For example, if the player bets the underdog +4 * and the favorite -3 i and the favorite wins by 4, the player has middled the book and won both bets. “Middle” can be integrated into the embodiments in a variety of manners.

[0027] Digital gaming refers to any type of electronic environment that can be controlled or manipulated by a human user for entertainment purposes. A system that enables a human and a computer to interact according to set of both implicit and explicit rules in an electronically powered domain for the purpose of recreation or instruction. “eSports” refers to a form of sports competition using video games, or a multiplayer video game played competitively for spectators, typically by professional gamers. Digital gaming and “eSports” can be integrated into the embodiments in a variety of manners.

[0028] The term event refers to a form of play, sport, contest, or game, especially one played according to rules and decided by skill, strength, or luck. In some embodiments, an event may be football, hockey, basketball, baseball, golf, tennis, soccer, cricket, rugby, MMA, boxing, swimming, skiing, snowboarding, horse racing, car racing, boat racing, cycling, wrestling, Olympic sport, etc. The event can be integrated into the embodiments in a variety of manners.

[0029] The “total” is the combined number of runs, points or goals scored by both teams during the game, including overtime. The “over” refers to a sports bet in which the player wagers that the combined point total of two teams will be more than a specified total. The “under” refers to bets that the total points scored by two teams will be less than a certain figure. “Total,” “over,” and “under” can be integrated into the embodiments in a variety of manners.

[0030] A “parlay” is a single bet that links together two or more wagers; to win the bet, the player must win all the wagers in the “parlay.” If the player loses one wager, the player loses the entire bet. However, if they win all the wagers in the “parlay,” the player may receive a higher payoff than if the player had placed the bets separately. A “round robin” is a series of parlays. A “teaser” is a type of parlay in which the point spread, or total of each individual play is adjusted.

The price of moving the point spread (teasing) is lower payoff odds on winning wagers. “Parlay,” “round robin,” “teaser” can be integrated into the embodiments in a variety of manners.

[0031] A “prop bet” or “proposition bet” means a bet that focuses on the outcome of events within a given game. Props are often offered on marquee games of great interest. These include Sunday and Monday night pro football games, various high-profile college football games, major college bowl games, and playoff and championship games. An example of a prop bet is “Which team will score the first touchdown?” “Prop bet” or “proposition bet” can be integrated into the embodiments in a variety of manners.

[0032] A “first-half bet” refers to a bet placed on the score in the first half of the event only and only considers the first half of the game or event. The process in which you go about placing this bet is the same process that you would use to place a full game bet, but as previously mentioned, only the first half is important to a first-half bet type of wager. A “half-time bet” refers to a bet placed on scoring in the second half of a game or event only. “First-half-bet” and “half- time-bet” can be integrated into the embodiments in a variety of manners.

[0033] A “futures bet” or “future” refers to the odds that are posted well in advance on the winner of major events. Typical future bets are the Pro Football Championship, Collegiate Football Championship, the Pro Basketball Championship, the Collegiate Basketball Championship, and the Pro Baseball Championship. “Futures bet” or “future” can be integrated into the embodiments in a variety of manners.

[0034] The “listed pitchers” is specific to a baseball bet placed only if both pitchers scheduled to start a game start. If they do not, the bet is deemed “no action” and refunded. The “run line” in baseball refers to a spread used instead of the money line. “Listed pitchers,” “no action,” and “run line” can be integrated into the embodiments in a variety of manners.

[0035] The term “handle” refers to the total amount of bets taken. The term “hold” refers to the percentage the house wins. The term “juice” refers to the bookmaker’s commission, most commonly the 11 to 10 bettors lay on straight point spread wagers: also known as “vigorish” or “vig”. The “limit” refers to the maximum amount accepted by the house before the odds and/or point spread are changed. “Off the board” refers to a game in which no bets are being accepted. “Handle,” “juice,” vigorish,” “vig,” and “off the board” can be integrated into the embodiments in a variety of manners.

[0036] “Casinos” are a public room or building where gambling games are played. “Racino” is a building complex or grounds having a racetrack and gambling facilities for playing slot machines, blackjack, roulette, etc. “Casino” and “Racino” can be integrated into the embodiments in a variety of manners.

[0037] Customers are companies, organizations or individuals that would deploy, for fees, and may be part of, or perform, various system elements or method steps in the embodiments.

[0038] Managed service user interface service is a service that can help customers (1) manage third parties, (2) develop the web, (3) perform data analytics, (4) connect thru application program interfaces and (4) track and report on player behaviors. A managed service user interface can be integrated into the embodiments in a variety of manners.

[0039] Managed service risk management service are services that assist customers with (1) very important person management, (2) business intelligence, and (3) reporting. These managed service risk management services can be integrated into the embodiments in a variety of manners. [0040] Managed service compliance service is a service that helps customers manage (1) integrity monitoring, (2) play safety, (3) responsible gambling, and (4) customer service assistance. These managed service compliance services can be integrated into the embodiments in a variety of manners.

[0041] Managed service pricing and trading service is a service that helps customers with (1) official data feeds, (2) data visualization, and (3) land based on property digital signage. These managed service pricing and trading services can be integrated into the embodiments in a variety of manners.

[0042] Managed service and technology platforms are services that help customers with (1) web hosting, (2) IT support, and (3) player account platform support. These managed service and technology platform services can be integrated into the embodiments in a variety of manners. [0043] Managed service and marketing support services are services that help customers (1) acquire and retain clients and users, (2) provide for bonusing options, and (3) develop press release content generation. These managed service and marketing support services can be integrated into the embodiments in a variety of manners.

[0044] Payment processing services are services that help customers with (1) account auditing and (2) withdrawal processing to meet standards for speed and accuracy. Further, these services can provide for integration of global and local payment methods. These payment processing services can be integrated into the embodiments in a variety of manners.

[0045] Engaging promotions allow customers to treat players to free bets, odds boosts, enhanced access, and flexible cashback to boost lifetime value. Engaging promotions can be integrated into the embodiments in a variety of manners. [0046] “Cash out” or “pay out” or “payout” allow customers to make available, on singles bets or accumulated bets with a partial cash out where each operator can control payouts by always managing commission and availability. The “cash out” or “pay out” or “payout” can be integrated into the embodiments in a variety of manners, including both monetary and non-monetary payouts, such as points, prizes, promotional or discount codes, and the like.

[0047] “Customized betting” allows customers to have tailored personalized betting experiences with sophisticated tracking and analysis of players' behavior. “Customized betting” can be integrated into the embodiments in a variety of manners.

[0048] Kiosks are devices that offer interactions with customers, clients, and users with a wide range of modular solutions for both retail and online sports gaming. Kiosks can be integrated into the embodiments in a variety of manners.

[0049] Business Applications are an integrated suite of tools for customers to manage the everyday activities that drive sales, profit, and growth by creating and delivering actionable insights on performance to help customers to manage the sports gaming. Business Applications can be integrated into the embodiments in a variety of manners.

[0050] State-based integration allows for a given sports gambling game to be modified by states in the United States or other countries, based upon the state the player is in, mobile phone, or other geolocation identification means. State-based integration can be integrated into the embodiments in a variety of manners.

[0051] Game Configurator allows for configuration of customer operators to have the opportunity to apply various chosen or newly created business rules on the game as well as to parametrize risk management. The Game Configurator can be integrated into the embodiments in a variety of manners. [0052] “Fantasy sports connectors” are software connectors between method steps or system elements in the embodiments that can integrate fantasy sports. Fantasy sports allow a competition in which participants select imaginary teams from among the players in a league and score points according to the actual performance of their players. For example, if a player in fantasy sports is playing at a given real-time sport, odds could be changed in the real-time sports for that player.

[0053] Software as a service (or SaaS) is a software delivery and licensing method in which software is accessed online via a subscription rather than bought and installed on individual computers. Software as a service can be integrated into the embodiments in a variety of manners. [0054] Synchronization of screens means synchronizing bets and results between devices, such as TV and mobile, PC, and wearables. Synchronization of screens can be integrated into the embodiments in a variety of manners.

[0055] Automatic content recognition (ACR) is an identification technology that recognizes content played on a media device or present in a media file. Devices containing ACR support enable users to quickly obtain additional information about the content they see without any user-based input or search efforts. A short media clip (audio, video, or both) is selected to start the recognition. This clip could be selected from within a media file or recorded by a device. Through algorithms such as fingerprinting, information from the actual perceptual content is taken and compared to a database of reference fingerprints, wherein each reference fingerprint corresponds with a known recorded work. A database may contain metadata about the work and associated information, including complementary media. If the media clip’s fingerprint is matched, the identification software may return the corresponding metadata to the client application. For example, during an in-play sports game, a “fumble” could be recognized and at the time stamp of the event, metadata such as “fumble” could be displayed. Automatic content recognition (ACR) can be integrated into the embodiments in a variety of manners.

[0056] Joining social media means connecting an in-play sports game bet or result to a social media connection, such as a FACEBOOK® chat interaction. Joining social media can be integrated into the embodiments in a variety of manners.

[0057] Augmented reality means a technology that superimposes a computer-generated image on a user's view of the real world, thus providing a composite view. In an example of this invention, a real time view of the game can be seen and a “bet” — which is a computer-generated data point — is placed above the player that is bet on. Augmented reality can be integrated into the embodiments in a variety of manners.

[0058] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail. It can be understood that the embodiments are intended to be open-ended in that an item or items used in the embodiments is not meant to be an exhaustive listing of such item or items or meant to be limited to only the listed item or items.

[0059] It can be noted that as used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments, only some exemplary systems and methods are now described.may return

[0060] FIG. 1 is a system for using an integrated sports wagering system. This system may include a live event 102, for example, a sporting event such as a football, basketball, baseball, or hockey game, tennis match, golf tournament, eSports, or digital game, etc. The live event 102 may include some number of actions or plays upon which a user, bettor, or customer can place a bet or wager, typically through an entity called a sportsbook. There are numerous types of wagers the bettor can make, including, but not limited to, a straight bet, a money line bet, or a bet with a point spread or line that the bettor's team would need to cover if the result of the game with the same as the point spread the user would not cover the spread, but instead the tie is called a push. If the user bets on the favorite, points are given to the opposing side, which is the underdog or longshot. Betting on all favorites is referred to as chalk and is typically applied to round-robin or other tournaments' styles. There are other types of wagers, including, but not limited to, parlays, teasers, and prop bets, which are added games that often allow the user to customize their betting by changing the odds and payouts received on a wager. Certain sportsbooks will allow the bettor to buy points which moves the point spread off the opening line. This increases the price of the bet, sometimes by increasing the juice, vig, or hold that the sportsbook takes. Another type of wager the bettor can make is an over/under, in which the user bets over or under a total for the live event 102, such as the score of an American football game or the run line in a baseball game, or a series of actions in the live event 102. Sportsbooks have several bets they can handle, limiting the number of wagers they can take on either side of a bet before moving the line or odds off the opening line. Additionally, there are circumstances, such as an injury to an important player like a listed pitcher, in which a sportsbook, casino, or racino may take an available wager off the board. As the line moves, an opportunity may arise for a bettor to bet on both sides at different point spreads to middle, and win, both bets. Sportsbooks will often offer bets on portions of games, such as first- half bets and half-time bets. Additionally, the sportsbook can offer futures bets on live events in the future. Sportsbooks need to offer payment processing services to cash out customers, which can be done at kiosks at the live event 102 or at another location. [0061] Further, embodiments may include a plurality of sensors 104 that may be used such as motion, temperature, or humidity sensors, optical sensors, and cameras such as an RGB-D camera which is a digital camera capable of capturing color (RGB) and depth information for every pixel in an image, microphones, radiofrequency receivers, thermal imagers, radar devices, lidar devices, ultrasound devices, speakers, wearable devices, etc. Also, the plurality of sensors 104 may include but are not limited to, tracking devices, such as RFID tags, GPS chips, or other such devices embedded on uniforms, in equipment, in the field of play and boundaries of the field of play, or on other markers in the field of play. In addition, imaging devices may also be used as tracking devices, such as player tracking, which provide statistical information through real-time X, Y positioning of players and X, Y, Z positioning of the ball.

[0062] Further, embodiments may include a sensor data module 106, which may begin with the sensor data module 106 connecting to the sensors 104 at the live event 102. For example, the sensor data module 106 may connect to the various sensors 104 located at the live event 102, such as cameras, on-field sensors, player sensors, etc. Then the sensor data module 106 may send a request to sensors 104 for the sensor data. For example, the sensor data module 106 may send a request for the data from the cameras, on-field sensors, player sensors, etc. The sensor data module 106 may receive the sensor data from the sensors 104. For example, the sensor data module 106 may receive the data from the cameras, on-field sensors, player sensors, etc. Then the sensor data module 106 may analyze the sensor data. For example, the analysis may include how many players are on the field, which players are on the field, how the players are positioned, etc. For example, the sensor data from a camera at a baseball event may be able to detect nine defensive players on the field, and of those nine players, there are seven players in a shift, such as the infielders and outfielders shifted more to the left side of the field than what is typically expected. The analysis may determine that since a left-handed hitter is up to bat, the defensive players are positioned in a defensive shift to prevent the hitter from getting on base. The sensor data module 106 may store the analyzed sensor data in a sensor database 108. For example, the data stored may be a lefthanded hitter for the current at-bat, such as Rafael Devers of the Boston Red Sox, and the defense for the New York Yankees has shifted towards the left side of the field. It is then determined if there is a request for the data stored in the sensor database 108 from the event data module 120. If there is no request from the event data module 120, then the process may return to sending a request to the sensors 104 for the sensor data. If there is a request for the sensor data from the event data module 120, the sensor data module 106 may extract the sensor data from the sensor database 108. For example, the data that may be sent to the event data module 120 is that for the current at-bat, there is a left-handed hitter up, such as Rafael Devers of the Boston Red Sox, and the defense for the New York Yankees has shifted towards the left side of the field. Then the sensor data module 106 may send the extracted sensor data from the sensor database 108 to the event data module 120, and the process may return to sending a request to the sensors 104 for the sensor data.

[0063] Further, embodiments may include the sensor database 108, which may contain analyzed sensor data from the various sensors 104 located at a live event 102, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right. The defensive position of each defensive player may appear on the wagering app 114 to provide additional information that the user would not typically receive to make a more informed wager selection. For example, if the user is aware of the defensive shift, then the chances of Rafael Devers hitting a single decreases, while his chances of hitting a double, triple, or home run, etc., remain relatively the same. In some embodiments, the event data module 120 may display the decrease in the possibility of a wager outcome occurring depending on a defensive or offensive shift. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right then the wagering app 114 may use data from the historical plays database 126 located on the wagering network 122 to determine the decrease in the percentage of Rafael Devers hitting a single, such as a 10% decrease in the outcome being a single compared to if there was no defensive shift. In some embodiments, the analyzed sensor data may include an increase or decrease in a player’s speed during an event, such as running, skating, walking, etc., an increase or decrease in a player’s throwing velocity, such as a pitcher in baseball, quarterback in football, etc. In some embodiments, the analyzed sensor data may include a player substitution during an event. In some embodiments, the analyzed sensor data may include a potential injury for a player, for example if a player’ s performance, such as running speed, throwing velocity, etc. decrease by a predetermined amount then it may be determined that a player has suffered an injury. In some embodiments, the analyzed sensor data may include a clutch factor or how a player is responding to a pressure situation within an event by measuring the player’s heart rate prior to being involved to a play and measuring the player’s heart rate during a play. For example, measuring a baseball player’s heart rate when they are on-deck or next up to bat versus the player’s heart rate when they are up to bat. In some embodiments, the analyzed sensor data may incorporate the player’s statistics and update the player’s statistics in real-time during the event.

For example, updating a baseball player’s batting average, number of at-bats, on-base percentage, runs scored, hits, singles, doubles, triples, home runs, steals, strikeouts, flyouts, groundouts, runs batted in (RBI), slugging percentage, walks, intentional walks, hit by pitches, etc. In some embodiments, the player’s statistics may be updated in real-time for other sports in a similar manner, such as basketball, hockey, football, soccer, golf, tennis, Olympic sports, etc.

[0064] Further, embodiments may include a cloud 110 or a communication network that may be a wired and/or a wireless network. The communication network, if wireless, may be implemented using communication techniques such as visible light communication (VLC), worldwide interoperability for microwave access (WiMAX), long term evolution (LTE), wireless local area network (WLAN), infrared (IR) communication, public switched telephone network (PSTN), radio waves, or other communication techniques that are known in the art. The communication network may allow ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the internet, and relies on sharing resources to achieve coherence and economies of scale, like a public utility. In contrast, third-party clouds allow organizations to focus on their core businesses instead of expending resources on computer infrastructure and maintenance. The cloud 110 may be communicatively coupled to a peer-to-peer wagering network 122, which may perform real-time analysis on the type of play and the result of the play. The cloud 110 may also be synchronized with game situational data such as the time of the game, the score, location on the field, weather conditions, and the like, which may affect the choice of play utilized. For example, in an exemplary embodiment, the cloud 110 may not receive data gathered from the sensors 104 and may, instead, receive data from an alternative data feed, such as Sports Radar®. This data may be compiled substantially immediately following the completion of any play and may be compared with a variety of team data and league data based on a variety of elements, including the current down, possession, score, time, team, and so forth, as described in various exemplary embodiments herein.

[0065] Further, embodiments may include a mobile device 112 such as a computing device, laptop, smartphone, tablet, computer, smart speaker, or VO devices. VO devices may be present in the computing device. Input devices may include but are not limited to keyboards, mice, trackpads, trackballs, touchpads, touch mice, multi-touch touchpads and touch mice, microphones, multiarray microphones, drawing tablets, cameras, single-lens reflex cameras (SLRs), digital SLRs (DSLRs), complementary metal-oxide- semiconductor (CMOS) sensors, accelerometers, infrared optical sensors, pressure sensors, magnetometer sensors, angular rate sensors, depth sensors, proximity sensors, ambient light sensors, gyroscopic sensors, or other sensors. Output devices may include but are not limited to video displays, graphical displays, speakers, headphones, inkjet printers, laser printers, or 3D printers. Devices may include but are not limited to a combination of multiple input or output devices such as Microsoft KINECT, Nintendo Wii remote, Nintendo WII U GAMEPAD, or Apple iPhone. Some devices allow gesture recognition inputs by combining input and output devices. Other devices allow for facial recognition, which may be utilized as an input for different purposes such as authentication or other commands. Some devices provide for voice recognition and inputs, including, but not limited to, Microsoft KINECT, SIRI for iPhone by Apple, Google Now, or Google Voice Search. Additional user devices have both input and output capabilities, including, but not limited to, haptic feedback devices, touchscreen displays, or multitouch displays. Touchscreen, multi-touch displays, touchpads, touch mice, or other touch sensing devices may use different technologies to sense touch, including but not limited to capacitive, surface capacitive, projected capacitive touch (PCT), in-cell capacitive, resistive, infrared, waveguide, dispersive signal touch (DST), in-cell optical, surface acoustic wave (SAW), bending wave touch (BWT), or force-based sensing technologies. Some multi-touch devices may allow two or more contact points with the surface, allowing advanced functionality including, but not limited to, pinch, spread, rotate, scroll, or other gestures. Some touchscreen devices, including, but not limited to, Microsoft PIXELSENSE or Multi-Touch Collaboration Wall, may have larger surfaces, such as on a table-top or on a wall, and may also interact with other electronic devices. Some I/O devices, display devices, or groups of devices may be augmented reality devices. An I/O controller may control one or more I/O devices, such as a keyboard and a pointing device, or a mouse or optical pen. Furthermore, an I/O device may also contain storage and/or an installation medium for the computing device. In some embodiments, the computing device may include USB connections (not shown) to receive handheld USB storage devices. In further embodiments, an I/O device may be a bridge between the system bus and an external communication bus, e.g., USB, SCSI, FireWire, Ethernet, Gigabit Ethernet, Fiber Channel, or Thunderbolt buses. In some embodiments, the mobile device 112 could be an optional component and would be utilized in a situation where a paired wearable device employs the mobile device 112 for additional memory or computing power or connection to the internet.

[0066] Further, embodiments may include a wagering software application or a wagering app 114, which is a program that enables the user to place bets on individual plays in the live event 102, streams audio and video from the live event 102, and features the available wagers from the live event 102 on the mobile device 112. The wagering app 114 allows users to interact with the wagering network 122 to place bets and provide payment/receive funds based on wager outcomes. [0067] Further, embodiments may include a GUI 116 which may be used to display the analytics from the analyzed sensor data stored in the sensor database. The interface(s) may either accept inputs from users or provide outputs to the users, or may perform both the actions. In one case, a user can interact with the interface(s) using one or more user- interactive objects and devices. The user-interactive objects and devices may comprise user input buttons, switches, knobs, levers, keys, trackballs, touchpads, cameras, microphones, motion sensors, heat sensors, inertial sensors, touch sensors, or a combination of the above. Further, the interface(s) may either be implemented as a Command Line Interface (CLI), a Graphical User Interface (GUI), a voice interface, or a webbased user-interface.

[0068] Further, embodiments may include a mobile device database 118 that may store some or all the user's data, the live event 102, or the user's interaction with the wagering network 122.

[0069] Further, embodiments may include an event data module 120, which may begin with the user requesting to connect to the live event 102. For example, a user may be present at a live event and may have the option or ability to connect to the live event 102 or a network or server located at the live event 102 to receive data that is unique to the live event that does not get passed on to the wagering network 122, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may be able to use this information to help or assist make play-by-play wagers on the upcoming play. Then it may be determined if the user's geolocation matches the geolocation of the live event 102. If there is no match between the user's geolocation and the live event 102 geolocation, the process may return to the user requesting to connect to the live event 102. In some embodiments, the user may receive a notification that they are not at the event and cannot connect to the live event 102. In some embodiments, the user’s geolocation position may be sent to the live event 102, and if there is a match, the live event 102 may send approval of sending the sensor data; however, if there is no match, then the live event 102 may deny access to the sensor data. If there is a match between the user's geolocation and the live event geolocation, the event data module 120 may send a request for the sensor data stored in the sensor database 108 from the sensor data module 106. For example, the event data module 108 may send a request for data stored in the sensor database 108, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. Then the event data module 120 may receive the sensor data stored in the sensor database 108 from the sensor data module 106. For example, the event data module 120 may receive the data stored in the sensor database 108, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. The event data module 120 may display the sensor data on the wagering app 114, and the process may return to the user requesting to connect to the live event 102. In some embodiments, the event data module 120 may continuously receive the sensor data from the sensor data module 106 as it is updated in real-time to continuously display the most upto-date information from the sensors 104 located at the live event 102. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right. The defensive position of each defensive player may appear on the wagering app 114 to provide additional information that the user would not typically receive to make a more informed wager selection. For example, if the user is aware of the defensive shift, then the chances of Rafael Devers hitting a single decreases, while his chances of hitting a double, triple, or home run, etc., remain relatively the same. In some embodiments, the event data module 120 may display the decrease in the possibility of a wager outcome occurring depending on a defensive or offensive shift. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right then the wagering app 114 may use data from the historical plays database 126 located on the wagering network 122 to determine the decrease in the percentage of Rafael Devers hitting a single, such as a 10% decrease in the outcome being a single compared to if there was no defensive shift.

[0070] Further, embodiments may include the wagering network 122, which may perform real-time analysis on the type of play and the result of a play or action. The wagering network 122 (or the cloud 110) may also be synchronized with game situational data, such as the time of the game, the score, location on the field, weather conditions, and the like, which may affect the choice of play utilized. For example, in an exemplary embodiment, the wagering network 122 may not receive data gathered from the sensors 104 and may, instead, receive data from an alternative data feed, such as SportsRadar®. This data may be provided substantially immediately following the completion of any play and may be compared with a variety of team data and league data based on a variety of elements, including the current down, possession, score, time, team, and so forth, as described in various exemplary embodiments herein. The wagering network 122 can offer several software as a service (SaaS) managed services such as user interface service, risk management service, compliance, pricing and trading service, IT support of the technology platform, business applications, game configuration, state-based integration, fantasy sports connection, integration to allow the joining of social media, or marketing support services that can deliver engaging promotions to the user.

[0071] Further, embodiments may include a user database 124, which may contain data relevant to all users of the wagering network 122 and may include, but is not limited to, a user ID, a device identifier, a paired device identifier, wagering history, or wallet information for the user. The user database 124 may also contain a list of user account records associated with respective user IDs. For example, a user account record may include, but is not limited to, information such as user interests, user personal details such as age, mobile number, etc., previously played sporting events, highest wager, favorite sporting event, or current user balance and standings. In addition, the user database 124 may contain betting lines and search queries. The user database 124 may be searched based on a search criterion received from the user. Each betting line may include, but is not limited to, a plurality of betting attributes such as at least one of the live event 102, a team, a player, an amount of wager, etc. The user database 124 may include but is not limited to information related to all the users involved in the live event 102. In one exemplary embodiment, the user database 124 may include information for generating a user authenticity report and a wagering verification report. Further, the user database 124 may be used to store user statistics like, but not limited to, the retention period for a particular user, frequency of wagers placed by a particular user, the average amount of wager placed by each user, etc.

[0072] Further, embodiments may include a historical plays database 126 that may contain play data for the type of sport being played in the live event 102. For example, in American Football, for optimal odds calculation, the historical play data may include metadata about the historical plays, such as time, location, weather, previous plays, opponent, physiological data, etc.

[0073] Further, embodiments may utilize an odds database 128 — that may contain the odds calculated by an odds calculation module 130 — to display the odds on the user's mobile device 112 and take bets from the user through the mobile device wagering app 114.

[0074] Further, embodiments may include the odds calculation module 130, which may utilize historical play data to calculate odds for in-play wagers.

[0075] FIG. 2 illustrates the sensor data module 106. The process may begin with the sensor data module 106 connecting, at step 200, to the sensors 104 at the live event 102. For example, the sensor data module 106 may connect to the various sensors 104 located at the live event 102, such as cameras, on-field sensors, player sensors, etc. Then the sensor data module 106 may send, at step 202, a request to the sensors 104 for the sensor data. For example, the sensor data module 106 may send a request for the data from the cameras, on-field sensors, player sensors, etc. The sensor data module 106 may receive, at step 204, the sensor data from the sensors 104. For example, the sensor data module 106 may receive the data from the cameras, on-field sensors, player sensors, etc. Then the sensor data module 106 may analyze, at step 206, the sensor data. For example, the analysis may include how many players are on the field, which players are on the field, how the players are positioned, etc. For example, the sensor data from a camera at a baseball event may be able to detect nine defensive players on the field, and of those nine players, there are seven players in a shift, such as the infielders and outfielders shifted more to the left side of the field than what is typically expected. The analysis may determine that since a left-handed hitter is up to bat, the defensive players are positioned in a defensive shift to prevent the hitter from getting on base. In some embodiments, the analyzed sensor data may include an increase or decrease in a player’s speed during an event, such as running, skating, walking, etc., an increase or decrease in a player’s throwing velocity, such as a pitcher in baseball, quarterback in football, etc. In some embodiments, the analyzed sensor data may include a player substitution during an event. In some embodiments, the analyzed sensor data may include a potential injury for a player, for example if a player’s performance, such as running speed, throwing velocity, etc. decrease by a predetermined amount then it may be determined that a player has suffered an injury. In some embodiments, the analyzed sensor data may include a clutch factor or how a player is responding to a pressure situation within an event by measuring the player’s heart rate prior to being involved to a play and measuring the player’s heart rate during a play. For example, measuring a baseball player’s heart rate when they are on-deck or next up to bat versus the player’s heart rate when they are up to bat. In some embodiments, the analyzed sensor data may incorporate the player’s statistics and update the player’s statistics in real-time during the event. For example, updating a baseball player’s batting average, number of at-bats, on-base percentage, runs scored, hits, singles, doubles, triples, home runs, steals, strikeouts, flyouts, groundouts, runs batted in (RBI), slugging percentage, walks, intentional walks, hit by pitches, etc. In some embodiments, the player’s statistics may be updated in real-time for other sports in a similar manner, such as basketball, hockey, football, soccer, golf, tennis, Olympic sports, etc. The sensor data module 106 may store, at step 208, the analyzed sensor data in the sensor database 108. For example, the data stored may be that there is a left-handed hitter for the current at-bat, such as Rafael Devers of the Boston Red Sox, and the defense for the New York Yankees has shifted towards the left side of the field. In some embodiments, the analyzed sensor data may include an increase or decrease in a player’s speed during an event, such as running, skating, walking, etc., an increase or decrease in a player’s throwing velocity, such as a pitcher in baseball, quarterback in football, etc. In some embodiments, the analyzed sensor data may include a player substitution during an event. In some embodiments, the analyzed sensor data may include a potential injury for a player, for example if a player’s performance, such as running speed, throwing velocity, etc. decrease by a predetermined amount then it may be determined that a player has suffered an injury. In some embodiments, the analyzed sensor data may include a clutch factor or how a player is responding to a pressure situation within an event by measuring the player’ s heart rate prior to being involved to a play and measuring the player’ s heart rate during a play. For example, measuring a baseball player’s heart rate when they are on-deck or next up to bat versus the player’s heart rate when they are up to bat. In some embodiments, the analyzed sensor data may incorporate the player’s statistics and update the player’s statistics in real-time during the event. For example, updating a baseball player’s batting average, number of at-bats, on- base percentage, runs scored, hits, singles, doubles, triples, home runs, steals, strikeouts, flyouts, groundouts, runs batted in (RBI), slugging percentage, walks, intentional walks, hit by pitches, etc. In some embodiments, the player’s statistics may be updated in real-time for other sports in a similar manner, such as basketball, hockey, football, soccer, golf, tennis, Olympic sports, etc. The sensor data module 106 may determine, at step 210, if there is a request for the data stored in the sensor database 108 from the event data module 120. If there is no request from the event data module 120, then the process may return to sending a request to the sensors 104 for the sensor data. In some embodiments, the user may purchase a subscription for the access to the analyzed sensor data stored in the sensor database 108. For example, the user may purchase the subscription prior to an event or during the event through the wagering app 114 from the wagering network 122 and the wagering network may provide the user’s user ID to the live event, and when providing the analyzed sensor data to the mobile device 112 the sensor data module 106 may verify the user’s geolocation and determine if the wagering network 122 has sent the user ID to verify that the user purchased a subscription to the analyzed sensor stored in the sensor database 108. If there is a request for the sensor data from the event data module 120, the sensor data module 106 may extract, at step 212, the sensor data from the sensor database 108. For example, the data that may be sent to the event data module 120 is that for the current at-bat, there is a left-handed hitter up, such as Rafael Devers of the Boston Red Sox, and the defense for the New York Yankees has shifted towards the left side of the field. Then the sensor data module 106 may send, at step 214, the extracted sensor data from the sensor database 108 to the event data module 120, and the process may return to sending a request to the sensors 104 for the sensor data at step 202.

[0076] FIG. 3 illustrates the event data module 120. The process may begin with the user requesting, at step 300, to connect to the live event 102. For example, a user may be present at a live event and may have the option or ability to connect to the live event 102 or a network or server located at the live event 102 to receive data that is unique to the live event that does not get passed on to the wagering network 122, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. In some embodiments, the user may purchase a subscription for the access to the analyzed sensor data stored in the sensor database 108. For example, the user may purchase the subscription prior to an event or during the event through the wagering app 114 from the wagering network 122 and the wagering network may provide the user’s user ID to the live event, and when providing the analyzed sensor data to the mobile device 112 the sensor data module 106 may verify the user’s geolocation and determine if the wagering network 122 has sent the user ID to verify that the user purchased a subscription to the analyzed sensor stored in the sensor database 108. The event data module 120 may determined, at step 302, if the user's geolocation matches the geolocation of the live event 102. If there is no match between the user's geolocation and the live event 102 geolocation, the process may return to the user requesting to connect to the live event 102. In some embodiments, the user may receive a notification that they are not at the event and cannot connect to the live event 102. In some embodiments, the user’s geolocation position may be sent to the live event 102, and if there is a match, the live event 102 may send approval of sending the sensor data; however, if there is no match, then the live event 102 may deny access to the sensor data. If there is a match between the user's geolocation and the live event geolocation, the event data module 120 may send, at step 304, a request for the sensor data stored in the sensor database 108 from the sensor data module 106. For example, the event data module 108 may send a request for data stored in the sensor database 108, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. Then the event data module 120 may receive, at step 306, the sensor data stored in the sensor database 108 from the sensor data module 106. For example, the event data module 120 may receive the data stored in the sensor database 108, such as specific defensive positions in baseball, such as defensive shifts in real-time, specific defensive positions in basketball, such as a 2-3 zone, 1-3-1 zone, etc., defensive positions in football, such as a single high safety coverage, single-high safety coverage on one side of the field, no safety coverage on one side of the field, etc. The user may use this information to help or assist make play-by-play wagers on the upcoming play. In some embodiments, the analyzed sensor data may include an increase or decrease in a player’s speed during an event, such as running, skating, walking, etc., an increase or decrease in a player’s throwing velocity, such as a pitcher in baseball, quarterback in football, etc. In some embodiments, the analyzed sensor data may include a player substitution during an event. In some embodiments, the analyzed sensor data may include a potential injury for a player, for example if a player’s performance, such as running speed, throwing velocity, etc. decrease by a predetermined amount then it may be determined that a player has suffered an injury. In some embodiments, the analyzed sensor data may include a clutch factor or how a player is responding to a pressure situation within an event by measuring the player’s heart rate prior to being involved to a play and measuring the player’s heart rate during a play. For example, measuring a baseball player’s heart rate when they are on-deck or next up to bat versus the player’s heart rate when they are up to bat. In some embodiments, the analyzed sensor data may incorporate the player’s statistics and update the player’s statistics in real-time during the event. For example, updating a baseball player’s batting average, number of at-bats, on-base percentage, runs scored, hits, singles, doubles, triples, home runs, steals, strikeouts, flyouts, groundouts, runs batted in (RBI), slugging percentage, walks, intentional walks, hit by pitches, etc. In some embodiments, the player’s statistics may be updated in real-time for other sports in a similar manner, such as basketball, hockey, football, soccer, golf, tennis, Olympic sports, etc. The event data module 120 may display, at step 308, the sensor data on the wagering app 114 or on the GUI

116, and the process may return to the user requesting to connect to the live event 102 at step 300. In some embodiments, the event data module 120 may continuously receive the sensor data from the sensor data module 106 as it is updated in real-time to continuously display the most up-to-date information from the sensors 104 located at the live event 102. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right. The defensive position of each defensive player may appear on the wagering app 114 to provide additional information that the user would not typically receive to make a more informed wager selection. For example, if the user is aware of the defensive shift, then the chances of Rafael Devers hitting a single decreases, while his chances of hitting a double, triple, or home run, etc., remain relatively the same. In some embodiments, the event data module 120 may display the decrease in the possibility of a wager outcome occurring depending on a defensive or offensive shift. For example, if a user is at the live event 102 of the Boston Red Sox vs. the New York Yankees, and in the top of the first inning Rafael Devers is up to bat and the defensive position of the New York Yankees outfield and infield shifts to the right then the wagering app 114 may use data from the historical plays database 126 located on the wagering network 122 to determine the decrease in the percentage of Rafael Devers hitting a single, such as a 10% decrease in the outcome being a single compared to if there was no defensive shift.

[0077] The foregoing description and accompanying figures illustrate the principles, preferred embodiments, and modes of operation of the invention. However, the invention should not be construed as being limited to the embodiments discussed above. Additional variations of the embodiments discussed above will be appreciated by those skilled in the art. [0078] Therefore, the above-described embodiments should be regarded as illustrative rather than restrictive. Accordingly, it should be appreciated that variations to those embodiments can be made by those skilled in the art without departing from the scope of the invention as defined by the following claims.