DESC:RESERVATION OF RIGHTS
[0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as but are not limited to, copyright, design, trademark, integrated circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.

FIELD OF INVENTION
[0002] The embodiments of the present disclosure generally relate to systems and methods for sport analytics using artificial intelligence and machine learning. More particularly, the present disclosure relates to a system and a method for a logical simulator.

BACKGROUND OF THE INVENTION
[0003] The following description of the related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section is used only to enhance the understanding of the reader with respect to the present disclosure, and not as admission of the prior art.
[0004] Game simulation includes predicted categorical values as a part of a classification problem. Understanding a data set, cleaning the data set, and analyzing the data set may be inaccurate at times due to their unreliability. Conventional implementation of game simulation results require multiple team analysts for deciding an order of data and generating insights based on the available data. Also, data may lack reliability as data is derived from diverse sources in different formats.
[0005] There is, therefore, a need in the art to provide a system and a method that can mitigate the problems associated with the prior arts.

OBJECTS OF THE INVENTION
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are listed herein below.
[0007] It is an object of the present disclosure to provide a system and a method that manages cricket analytics across various cricket practitioners using a uni?ed interface.
[0008] It is an object of the present disclosure to provide a system and a method that supports cricket practitioners in picking an optimized set of players for a match based on an opponent team.
[0009] It is an object of the present disclosure to provide a system and a method that performs a pre-game simulation between a host team and the opponent team to recommend an optimized bowler mapping, predict runs, wickets, and computes an optimized simulation score.
[0010] It is an object of the present disclosure to provide a system and a method that performs real-time simulation during the match to recommend an optimized set of bowlers to be mapped to the remaining overs of the match and predicts the runs, wickets for each over.
[0011] It is an object of the present disclosure to provide a system and a method that computes a simulation score by end of the innings considering an actual and a potential match situation.
[0012] It is an object of the present disclosure to provide a system and a method that prioritizes the wicket taking criteria for first 16 overs and prioritizes the economy criteria for last 4 overs of the cricket match and varies the priority based on a 20-20 format and a one day internationals (ODI) format.
[0013] It is an object of the present disclosure to provide a system and a method that is applicable to various cricketing format like twenty overs cricket (T20), ODI, etc. by considering respective cricketing format rules and tweaks the simulation accordingly.
SUMMARY
[0014] This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0015] In an aspect, the present disclosure relates to a system for a logical simulator. The system includes a processor and a memory operatively coupled with the processor, wherein said memory stores instructions which, when executed by the processor, cause the processor to receive a list of a first set of players for playing a sports event for a period. The processor determines a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event. The processor simulates the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods. The processor generates a simulation score associated with the mapping. The processor generates recommendations, via an artificial intelligence (AI) engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.
[0016] In an embodiment, the processor may determine the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter.
[0017] In an embodiment, the processor may determine the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
[0018] In an embodiment, the first set of players may include one or more batsmen selected for playing the sports event and the second set of players may include e one or more bowlers to be mapped with the one or more batsmen for the one or more predetermined periods.
[0019] In an aspect, the present disclosure relates to a method for a logical simulator. The method includes receiving, by a processor, associated with a system, a list of a first set of players for playing a sports event for a period. The method includes determining, by the processor a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event. The method includes simulating, by the processor, the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods. The method includes generating, by the processor, a simulation score associated with the mapping. The method includes generating recommendations, by the processor, via an AI engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.
[0020] In an embodiment, the method may include determining, by the processor, the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter.
[0021] In an embodiment, the method may include determining, by the processor, the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
[0022] In an aspect, the present disclosure relates to a user equipment (UE) for sending requests, the UE including one or more processors communicatively coupled to a processor associated with a system, wherein the one or more processors are coupled with a memory, and wherein said memory stores instructions, which when executed by the one or more processors, cause the one or more processors to transmit a list of a first set of players to the processor via a network, wherein the first set of players are selected for playing a sports event for a period, and wherein the processor is configured to receive the list of the first set of players, determine a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event, simulate the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods, generate a simulation score associated with the mapping, and generate recommendations, via an AI engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.

BRIEF DESCRIPTION OF DRAWINGS
[0023] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that disclosure of such drawings includes the disclosure of electrical components, electronic components, or circuitry commonly used to implement such components.
[0024] FIG. 1 illustrates an exemplary network architecture (100) of a proposed system (108), in accordance with an embodiment of the present disclosure.
[0025] FIG. 2 illustrates an exemplary representation (200) of a proposed system (108), in accordance with an embodiment of the present disclosure.
[0026] FIG. 3 illustrates an exemplary representation (300) of a simulation framework of the system (108), in accordance with an embodiment of the present disclosure.
[0027] FIG. 4 illustrates an exemplary optimized solution (400) provided by the system (108), in accordance with an embodiment of the present disclosure.
[0028] FIG. 5 illustrates an exemplary result of the system (108), in accordance with an embodiment of the present disclosure.
[0029] FIG. 6 illustrates an exemplary computer system (600) in which or with which the proposed system (108) may be implemented, in accordance with an embodiment of the present disclosure.
[0030] The foregoing shall be more apparent from the following more detailed description of the disclosure.

BRIEF DESCRIPTION OF THE INVENTION
[0031] In the following description, for explanation, various specific details are outlined in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.
[0032] The ensuing description provides exemplary embodiments only and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the disclosure as set forth.
[0033] Specific details are given in the following description to provide a thorough understanding of the embodiments. However, it will be understood by one of ordinary skill in the art that the embodiments may be practiced without these specific details. For example, circuits, systems, networks, processes, and other components may be shown as components in block diagram form in order not to obscure the embodiments in unnecessary detail. In other instances, well-known circuits, processes, algorithms, structures, and techniques may be shown without unnecessary detail to avoid obscuring the embodiments.
[0034] Also, it is noted that individual embodiments may be described as a process that is depicted as a flowchart, a flow diagram, a data flow diagram, a structure diagram, or a block diagram. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel or concurrently. In addition, the order of the operations may be re-arranged. A process is terminated when its operations are completed but could have additional steps not included in a figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. When a process corresponds to a function, its termination can correspond to a return of the function to the calling function or the main function.
[0035] The word “exemplary” and/or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive like the term “comprising” as an open transition word without precluding any additional or other elements.
[0036] Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
[0037] The terminology used herein is to describe particular embodiments only and is not intended to be limiting the disclosure. As used herein, the singular forms “a”, “an”, and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any combinations of one or more of the associated listed items.
[0038] The present disclosure includes a system that generates a bowling line-up for playing against a predetermined number of batsmen. The system creates matchups between the batsmen and the bowlers based on their head-to-head statistics and bowling history. Further, based on an economy and a wicket taking criterion the system creates two types of simulations. The system performs a pre-game simulation and recommends optimized bowler mapping to every over between 1 to 20 and predicts the runs and wickets for each over. The system uses the wicket taking criterion for the first 16 overs and uses the economy criteria for the last 4 overs. This simulation helps in determining the best bowler for that particular over. Furthermore, the system generates a simulation score associated with the pre-game simulation. The system performs real-time simulation and recommends optimized set of bowlers to be mapped to remaining overs of the match while predicting the runs and wickets for each over.
[0039] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGs. 1-6.
[0040] FIG. 1 illustrates an exemplary network architecture (100) of a proposed system (108), in accordance with an embodiment of the present disclosure. As illustrated in FIG. 1, one or more computing devices (104-1, 104-2…104-N) may be connected to the proposed system (108) through a network (106). A person of ordinary skill in the art will understand that the one or more computing devices (104-1, 104-2…104-N) may be collectively referred as computing devices (104) and individually referred as a computing device (104). One or more users (102-1, 102-2…102-N) may operate the computing devices (104). A person of ordinary skill in the art will understand that the one or more users (102-1, 102-2…102-N) may be collectively referred as users (102) and individually referred as user (102).
[0041] In an embodiment, the computing device (104) may include, but not be limited to, a mobile, a laptop, etc. Further, the computing device (104) may include one or more in-built or externally coupled accessories including, but not limited to, a visual aid device such as a camera, audio aid, microphone, or keyboard. Further, the computing device (104) may include a mobile phone, smartphone, virtual reality (VR) devices, augmented reality (AR) devices, a laptop, a general-purpose computer, a desktop, a personal digital assistant, a tablet computer, and a mainframe computer. Additionally, input devices for receiving input from a user such as a touchpad, touch-enabled screen, electronic pen, and the like may be used. In an embodiment, users/customers may submit their complaints through the computing devices (104) as shown in FIG. 1.
[0042] In an embodiment, the network (106) may include, by way of example but not limitation, at least a portion of one or more networks having one or more nodes that transmit, receive, forward, generate, buffer, store, route, switch, process, or a combination thereof, etc. one or more messages, packets, signals, waves, voltage or current levels, some combination thereof, or so forth. The network (106) may also include, by way of example but not limitation, one or more of a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet-switched network, a circuit-switched network, an ad hoc network, an infrastructure network, a Public-Switched Telephone Network (PSTN), a cable network, a cellular network, a satellite network, a fiber optic network, or some combination thereof.
[0043] Although FIG. 1 shows exemplary components of the network architecture (100), in other embodiments, the network architecture (100) may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 1. Additionally, or alternatively, one or more components of the network architecture (100) may perform functions described as being performed by one or more other components of the network architecture (100).
[0044] In an embodiment, the system (108) may receive a list of a e first set of players for playing a sports event for a period. The system (108) may determine a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event.
[0045] In an embodiment, the system (108) may determine the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter. Further, in an embodiment, the system (108) may determine the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
[0046] In an embodiment, the system (108) may simulate the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods. The system (108) may generate a simulation score associated with the mapping.
[0047] For example, in an embodiment, the system (108) may perform a matchup between the one or more batsmen and the one or more bowlers based on the wicket keeping criteria and the economy criteria. The system (108) may simulate the sports event based on the mapping of the one or more bowlers and the one or more batsmen for the one or more predetermined periods. The system (108) may simulate the sports event based on the mapping of the one or more bowlers and the one or more batsmen based for 16 overs of the 20 overs based on the wicket taking parameter.
[0048] Further, in an embodiment the system (108) may simulate the sports event based on the mapping of the one or more bowlers and the one or more batsmen based for 4 overs based on the economy parameter. Further, the system (108) may include one or more additional parameters such as a pitch type, a ground type, and a location. Further, the system (108) may recommend the optimized mapping for overs 1 to 20 and predict the runs and wickets for every over. The system (108) may compute the simulation score by the end of the sports event. The system (108) may recommend the optimized set of bowlers to be mapped to remaining overs of the match and predict the runs and wickets for each of the 20 overs.
[0049] In an embodiment, the system (108) may generate recommendations, via an artificial intelligence (AI) engine, of a logical order of the one or more bowlers to be mapped with the one or more batsmen based on the simulation score.
[0050] FIG. 2 illustrates an exemplary representation (200) of a proposed system (108), in accordance with an embodiment of the present disclosure.
[0051] Referring to FIG. 2, the system (108) may include one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the system (108). The memory (204) may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory (204) may comprise any non-transitory storage device including, for example, volatile memory such as random-access memory (RAM), or non-volatile memory such as erasable programmable read only memory (EPROM), flash memory, and the like.
[0052] In an embodiment, the system (108) may include an interface(s) (206). The interface(s) (206) may comprise a variety of interfaces, for example, interfaces for data input and output devices (I/O), storage devices, and the like. The interface(s) (206) may facilitate communication through the system (108). The interface(s) (206) may also provide a communication pathway for one or more components of the system (108). Examples of such components include, but are not limited to, processing engine(s) (208), a database (210), a data ingestion engine (212), and an AI engine (214).
[0053] The processing engine(s) (208) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the system may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the system and the processing resource. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry.
[0054] In an embodiment, the processor (202) may receive a list of a first set of players via the data ingestion engine (212). The list of the first set of players may be received for playing a sports event for a period. The processor (202) may store the list of the first set of players in the database (210). The processor (202) may determine a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event.
[0055] In an embodiment, the processor (202) may determine the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter. Further, in an embodiment, the processor (202) may determine the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
[0056] In an embodiment, the processor (202) may simulate the sports event based on the mapping of first set of players and the second set of players for the one or more predetermined periods. The processor (202) may generate a simulation score associated with the mapping.
[0057] In an embodiment, the processor (202) may generate recommendations, via the AI engine (214), of a logical order of the one or more bowlers to be mapped with the one or more batsmen based on the simulation score.
[0058] FIG. 3 illustrates an exemplary representation (300) of a simulation framework of the system (108), in accordance with an embodiment of the present disclosure.
[0059] As illustrated in FIG. 3, the user (102) may select the players he wants to select in the team. After selecting, the user (102) may run a logical simulation based on the selected players. For example, the user (102) may want to generate a bowling line up for all 20 overs. Hence, the simulation framework (302) may create the matchups based on the selected players by taking their head-to-head statistics and bowling history. Further, based on the economy and wicket criteria, the simulation framework (302) may generate the matchup and simulation, i.e., the order of bowling for the bowling team.
[0060] In an embodiment, the simulation framework (302) may include an input (304). The input may include data regarding opposite playing batsmen (310). Further, the simulation framework (302) may include intermediate compensations (306). The intermediate compensations (306) may include generation of matchup data against bowling options (312) provided by the cricket practitioners, where the bowling options may be based on economy and wicket taking. Further, users (102)/ practitioners (314) may enter the required players which may include 11 players. Further, the simulation framework (300) may regenerate matchup data (316) using the selected players. The simulation framework (302) may combine bowler recommendations (318) from both economy and wicket taking criteria for each opponent batsmen. The simulation framework (302) may generate an output (308) that may include cricket practitioners bowler to over mapping (320) based on two different approaches that may include but not limited to logical and optimum opposition team’s batting simulation score.
[0061] FIG. 4 illustrates an exemplary optimized solution (400) provided by the system (108), in accordance with an embodiment of the present disclosure.
[0062] As illustrated in FIG. 4, the system (108) may generate an optimized solution based on the economy and wicket percentage calculated for each bowler. In an embodiment, a linear programming (LP) optimization technique may be used to find the optimal bowler to over mapping.
[0063] In an embodiment, the system (108) may include an assignment matrix where the one or more bowlers may be mapped to the overs 1 to 20 based on the wicket taking criteria and the economy criteria.
[0064] FIG. 5 illustrates an exemplary result (500) of the system (108), in accordance with an embodiment of the present disclosure.
[0065] As illustrated in FIG. 5, in an embodiment, the system (108) may generate Project updates/Results/Metrics (502) based on the provided inputs. The users/cricket practitioners (102) may download a validation report (504) to observe a difference between the simulated and actual scores. Further, in an embodiment, the users (102) may select the set of players (506) they want to simulate and further view the simulation.
[0066] FIG. 6 illustrates an exemplary computer system (600) in which or with which the proposed system (108) may be implemented, in accordance with an embodiment of the present disclosure.
[0067] As shown in FIG. 6, the computer system (600) may include an external storage device (610), a bus (620), a main memory (630), a read-only memory (640), a mass storage device (650), a communication port(s) (660), and a processor (670). A person skilled in the art will appreciate that the computer system (600) may include more than one processor and communication ports. The processor (670) may include various modules associated with embodiments of the present disclosure. The communication port(s) (660) may be any of an RS-232 port for use with a modem-based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fiber, a serial port, a parallel port, or other existing or future ports. The communication ports(s) (660) may be chosen depending on a network, such as a Local Area Network (LAN), Wide Area Network (WAN), or any network to which the computer system (600) connects.
[0068] In an embodiment, the main memory (630) may be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. The read-only memory (640) may be any static storage device(s) e.g., but not limited to, a Programmable Read Only Memory (PROM) chip for storing static information e.g., start-up or basic input/output system (BIOS) instructions for the processor (670). The mass storage device (650) may be any current or future mass storage solution, which can be used to store information and/or instructions. Exemplary mass storage solutions include, but are not limited to, Parallel Advanced Technology Attachment (PATA) or Serial Advanced Technology Attachment (SATA) hard disk drives or solid-state drives (internal or external, e.g., having Universal Serial Bus (USB) and/or Firewire interfaces).
[0069] In an embodiment, the bus (620) may communicatively couple the processor(s) (670) with the other memory, storage, and communication blocks. The bus (620) may be, e.g. a Peripheral Component Interconnect PCI) / PCI Extended (PCI-X) bus, Small Computer System Interface (SCSI), USB, or the like, for connecting expansion cards, drives, and other subsystems as well as other buses, such a front side bus (FSB), which connects the processor (670) to the computer system (600).
[0070] In another embodiment, operator and administrative interfaces, e.g., a display, keyboard, and cursor control device may also be coupled to the bus (620) to support direct operator interaction with the computer system (600). Other operator and administrative interfaces can be provided through network connections connected through the communication port(s) (660). Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system (600) limit the scope of the present disclosure.
[0071] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter is to be implemented merely as illustrative of the disclosure and not as a limitation.

ADVANTAGES OF THE INVENTION
[0072] The present disclosure provides a system and a method that manages cricket analytics across various cricket practitioners in a uni?ed interface.
[0073] The present disclosure provides a system and a method that supports cricket practitioners in picking an optimized set of players for a match based on an opponent team.
[0074] The present disclosure provides a system and a method that performs a pre-game simulation between a host team and the opponent team to recommend an optimized bowler mapping, predict runs, wickets, and computes an optimized simulation score.
[0075] The present disclosure provides a system and a method that performs real-time simulation during the match to recommend an optimized set of bowlers to be mapped to the remaining overs of the match and predicts the runs, wickets for each over.
[0076] The present disclosure provides a system and a method that computes a simulation score by end of the innings considering an actual match situation.
[0077] The present disclosure provides a system and a method that aids in optimizing time and enhances productivity as the system eliminates redundant/underutilized resources.
[0078] The present disclosure provides a system and a method that minimizes complexities during surfing of unorganized data resources across multiple cloud providers and provides additional features to secure and monitor the infrastructure.
[0079] The present disclosure provides a system and a method that helps to decide on the bowler’s order of bowling and a set of batsmen for batting according to an actual and a potential match situation.
[0080] The present disclosure provides a system and a method that prioritizes the wicket taking criteria for first 16 overs and prioritizes the economy criteria for last 4 overs of the cricket match and varies the priority based on a 20-20 format and a one day internationals (ODI) format.
[0081] The present disclosure provides a system and a method that is applicable to various cricketing format like twenty overs cricket (T20), ODI, etc. by considering respective cricketing format rules and tweaks the simulation accordingly.

,CLAIMS:1. A system (108) for a logical simulator, the system (108) comprising:
a processor (202); and
a memory (204) operatively coupled with the processor (202), wherein said memory (204) stores instructions which, when executed by the processor (202), cause the processor (202) to:
receive a list of a first set of players for playing a sports event for a period;
determine a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event;
simulate the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods;
generate a simulation score associated with the mapping; and
generate recommendations, via an artificial intelligence (AI) engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.
2. The system (108) as claimed in claim 1, wherein the processor (202) is to determine the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter.
3. The system (108) as claimed in claim 1, wherein the processor (202) is to determine the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
4. The system (108) as claimed in claim 1, wherein the first set of players comprise one or more batsmen selected for playing the sports event and the second set of players comprise one or more bowlers to be mapped with the batsmen for the one or more predetermined periods.
5. A method for a logical simulator, the method comprising:
receiving, by a processor (202), associated with a system (108), e a list of a first set of players for playing a sports event for a period;
determining, by the processor (202), a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event;
simulating, by the processor (202), the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods;
generating, by the processor (202), a simulation score associated with the mapping; and
generating recommendations, by the processor (202), via an artificial intelligence (AI) engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.
6. The method as claimed in claim 5, comprising determining, by the processor (202), the second set of players to be mapped with the first set of players for a first predetermined period associated with the one or more predetermined periods based on a wicket taking parameter.
7. The method as claimed in claim 5, comprising determining, by the processor (202), the second set of players to be mapped with the first set of players for a second predetermined period associated with the one or more predetermined periods based on an economy parameter.
8. A user equipment (UE) for sending requests, the UE comprising:
one or more processors communicatively coupled to a processor (202) associated with a system (108), wherein the one or more processors are coupled with a memory, and wherein said memory stores instructions, which when executed by the one or more processors, cause the one or more processors to:
transmit a list of a first set of players to the processor (202) via a network, wherein the first set of players are selected for playing a sports event for a period, and wherein the processor (202) is configured to:
receive the list of the first set of players;
determine a second set of players to be mapped with the first set of players for one or more predetermined periods associated with the period for playing the sports event;
simulate the sports event based on the mapping of the first set of players and the second set of players for the one or more predetermined periods;
generate a simulation score associated with the mapping; and
generate recommendations, via an artificial intelligence (AI) engine, of a logical order of the second set of players to be mapped with the first set of players based on the simulation score.