WO2021245495A1

WO2021245495A1 - System and method to generate fantasy teams by predicting future performance of sports players

Info

Publication number: WO2021245495A1
Application number: PCT/IB2021/054462
Authority: WO
Inventors: Vishwasmadhav GANDHE
Original assignee: Prodevbase Technologies Private Limited
Priority date: 2020-05-30
Filing date: 2021-05-22
Publication date: 2021-12-09

Abstract

Exemplary embodiments of the present disclosure directed towards a system to generate a fantasy team by predicting the performance of sports players, comprising a computing device configured to allow an end-user to select a match on a fantasy team prediction module, fantasy team prediction module configured to compare and predict sports players' performance using historical data, fantasy team prediction module configured to generate fantasy teams based on historical data of the sports players' performance with end-user's preference, the fantasy team prediction module also configured to predict and generate fantasy teams based on historical data of sports players' performance without the end-user's preference; and a central database configured to store end-user's details, matches, historical data of the sports players, the fantasy team prediction module configured to retrieve historical data of the sports players from the central database via a network.

Description

“SYSTEM AND METHOD TO GENERATE FANTASY TEAMS BY PREDICTING

FUTURE PERFORMANCE OF SPORTS PLAYERS”

TECHNICAL FIELD

[001] The disclosed subject matter relates generally to computer- implemented systems and methods for predicting the future performance of sports players. More particularly, the present disclosure relates to a computer implemented system and method to generate fantasy teams by predicting the future performance of sports players in the upcoming match.

BACKGROUND

[002] Fantasy sports leagues (FSL) or matches such as professional or collegiate football, baseball, basketball, cricket, and hockey, have been highly profitable as they rely on user participation and enthusiasm to generate revenue. As a result, numerous secondary businesses and events have been fostered based on the ever-increasing popularity of the fantasy sports leagues. FSLs, in particular, are becoming increasingly popular and sophisticated. MostFSLs for example football, baseball, basketball, cricket, and hockey are readily available online. Widespread Internet and online presence environment has promoted the rapid growth behind the FSLs.

[003] The existing fantasy sports leagues rate the sports players based on the statistical data alone. The registered end-user of the fantasy sports leagues or matches make player selections based on the end-user predictions of which players are best suited for the team. For example, the end-user may make a player selection based on what he hopes that player will produce in terms of fantasy points. The end-user may view the performance of his team and make certain management decisions based on sports player’s performance. Currently, there is no tool in the market to analyze the sports player’s performance and provide predictions in upcoming matches based on user preferences.

[003] In the light of aforementioned discussion, there exists a need for a system and method that would overcome or ameliorate the above-mentioned limitations.

SUMMARY [004] The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[005] An objective of the present disclosure is directed towards analyzing the historical data of sports player’s to predict the future performance in the upcoming matches.

[006] Another objective of the present disclosure is directed towards enabling the end-user to exclude or include the sports players to create a desired fantasy team.

[007] Another objective of the present disclosure is directed towards enabling the end-user to select multiple sports players to compare the statistics.

[008] Another objective of the present disclosure is directed towards facilitating the end-user to make the decision easily in the player selection for the matches.

[009] Another objective of the present disclosure is directed towards generating the predicted fantasy teams based on a user preference.

[0010] Another objective of the present disclosure is directed towards generating the predicted fantasy teams based on the probable combinations.

[0011] Another objective of the present disclosure is directed towards filtering the fantasy teams by applying the consistency ranking to the sports players.

[0012] According to an exemplary aspect, a system comprising a computing device configured to allow an end-user to select a match on a fantasy team prediction module, the fantasy team prediction module configured to compare and predict one or more sports players’ performance using historical data. [0013] According to another exemplary aspect, the fantasy team prediction module configured to generate one or more fantasy teams based on the historical data of the one or more sports players’ performance with an end-user’s preference.

[0014] According to another exemplary aspect, the fantasy team prediction module also configured to predict and generate the one or more fantasy teams based on the historical data of the one or more sports players’ performance without the end-user’s preference.

[0015] According to another exemplary aspect, a central database configured to store the end- user’s details, matches, and historical data of the one or more sports players, the fantasy team prediction module configured to retrieve the historical data of the one or more sports players from the central database via a network.

BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0017] FIG. 1 is a diagram depicting a schematic representation of a system to generate fantasy teams by predicting the future performance of sports players, in accordance with one or more exemplary embodiments.

[0018] FIG. 2 is a block diagram depicting a schematic representation of a fantasy team prediction module 108 shown in FIG. 1, in accordance with one or more embodiments.

[0019] FIG. 3 A is an example diagram depicting a home screen, in accordance with one or more exemplary embodiments. [0020] FIG. 3B is an example diagram depicting the arrangement of sports players screen, in accordance with one or more exemplary embodiments.

[0021] FIG. 3C is an example diagram depicting the list of selected sports players’ screen, in accordance with one or more exemplary embodiments.

[0022] FIG. 3D is an example diagram depicting a fantasy team screen, in accordance with one or more exemplary embodiments.

[0023] FIG. 3E is an example diagram depicting a profile screen, in accordance with one or more exemplary embodiments.

[0024] FIG. 3F is an example diagram depicting a player comparison screen, in accordance with one or more exemplary embodiments.

[0025] FIG. 3G is an example diagram depicting a selected player’s comparison screen, in accordance with one or more exemplary embodiments.

[0026] FIG. 3H is an example diagram depicting a career screen, in accordance with one or more exemplary embodiments.

[0027] FIG. 31 is an example diagram depicting a game log screen, in accordance with one or more exemplary embodiments.

[0028] FIG. 3J is an example diagram depicting a news screen, in accordance with one or more exemplary embodiments.

[0029] FIG. 4 is a flowchart depicting an exemplary method for comparing and predicting the performance of sports players’ to generate fantasy teams, in accordance with one or more exemplary embodiments. [0030] FIG. 5 is a flowchart depicting an exemplary method for providing predictions to the end- users, in accordance with one or more exemplary embodiments.

[0031] FIG. 6 is a flowchart depicting another exemplary method for providing predictions to the end-users, in accordance with one or more exemplary embodiments.

[0032] FIG. 7 is a flowchart depicting an exemplary method for sorting the fantasy teams, in accordance with one or more exemplary embodiments.

[0033] FIG. 8 is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by execution of appropriate software instructions.

OFT ATT ION OF EXAMPLE EMBODIMENTS

[0034] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0035] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0036] Referring to FIG. 1 is a block diagram 100 depicting an example environment in which aspects of the present disclosure can be implemented. Specifically, FIG. 1 is a diagram depicting a schematic representation of a system to generate fantasy teams by predicting the future performance of sports players, in accordance with one or more exemplary embodiments. The system 100 may be a computer- implemented system to generate fantasy teams by predicting the future performance of sports players. The system 100 includes a computing device 102, a central database 104, a network 106, and a fantasy team prediction module 108. The computing device 102 may include, but not limited to, a computer workstation, an interactive kiosk, and a personal mobile computing device such as a digital assistant, a mobile phone, a laptop, and storage devices, backend servers hosting database and other software and the like. The computing device 102 may be operated by an end-user. The end-user may include, but not limited to, a spectator of a fantasy sport league, fantasy sport participant, a fantasy sport member, a registered user, a fantasy sport applicant, a contestant, a match analyst, match experts, and so forth.

[0037] Although the computing device 102 is shown in FIG. 1, an embodiment of the system 100 may support any number of computing devices. The computing device 102 supported by the system 100 is realized as a computer-implemented or computer-based device having the hardware or firmware, software, and/or processing logic needed to carry out the computer-implemented methodologies described in more detail herein.

[0038] The computing device 102 may include the fantasy team prediction module 108 which may be accessed as mobile applications, web applications, software applications, that offers the functionality of accessing mobile applications, and viewing/processing of interactive pages, for example, are implemented in the computing device 102 as will be apparent to one skilled in the relevant arts by reading the disclosure provided herein. The fantasy team prediction module 108 may be downloaded from the cloud server (not shown). For example, the fantasy team prediction module 108 may be any suitable applications downloaded from, GOOGLE PLAY® (for Google Android devices), Apple Inc.'s APP STORE® (for Apple devices, or any other suitable database. In some embodiments, the fantasy team prediction module 108 may be software, firmware, or hardware that is integrated into the computing device 102.

[0039] The network 106 may include but not limited to, an Internet of things (IoT network devices), an Ethernet, a wireless local area network (WLAN), or a wide area network (WAN), a Bluetooth low energy network, a ZigBee network, a WIFI communication network e.g., the wireless high speed internet, or a combination of networks, a cellular service such as a 4G (e.g., LTE, mobile WiMAX) or 5G cellular data service, a RFID module, a NFC module, wired cables, such as the world-wide-web based Internet, or other types of networks may include Transport Control Protocol/Internet Protocol (TCP/IP) or device addresses (e g. network-based MAC addresses, or those provided in a proprietary networking protocol, such as Modbus TCP, or by using appropriate data feeds to obtain data from various web services, including retrieving XML data from an HTTP address, then traversing the XML for a particular node) and so forth without limiting the scope of the present disclosure.

[0040] The central database 104 may be configured to store the end-user’s details, matches, historical data of the sports players, and so forth. The historical data may include, but not limited to, player performance, pitch report, weather report, opponent analysis, twenty-twenty historical data of the player, and one day historical data of the player, statistics, and so forth. The player performance may include runs, innings, not outs, average, strike rate, hundreds, fifties, highest score, catches, stumps, overs, wickets, best, average, three wickets, five wickets, economy rate, batting performance, bowling performance, fielding performance, wicket keeping performance, and so forth.

[0041] The fantasy team prediction module 108 may be configured to retrieve the historical data from the central database 104 and display the retrieved historical data on the computing device 102 for analyzing the sports players’ performance. The fantasy team prediction module 108 may be configured to analyze the player’s performance based on the historical data of the sports players’. The fantasy team prediction module 108 may be configured to provide predictions on the future performance of the sports players’ in the upcoming matches. The matches may include, but not limited to, domestic matches, national matches, international matches, premier leagues, Indian premier league, and so forth. The predictions may include, but not limited to, future performance of sports players in up-coming matches, player name predictions, sports players future performance predictions, fantasy team predictions, up-coming match player performance predictions, predicts the player performance based on the pitch conditions, predicts the player performance based on the weather conditions, and so forth. The fantasy team prediction module 108 may be configured to predict the probable combinations of fantasy teams based on the historical data of sports players’ . The fantasy teams may include, but not limited to, Team A, Team B, Team C, Team D, Team E, Team F, Team G, Team H, Team I, Team J, and so forth. For example, each fantasy team may include the combination of eleven sports players.

[0042] The fantasy team prediction module 108 may be configured to enable the end-user to select the match to generate the fantasy teams on the computing device 102. The fantasy team prediction module 108 may be configured to enable the end-user on the computing device 102 to compare the historical data of the sports players’. The fantasy team prediction module 108 may be configured to generate the fantasy teams on the computing device 102 by predicting the future performance of the sports players ‘with the end-user preference or without the end-user preference based on the historical data of the sports players’ . The end-user preference may include, how many batsmen, all-rounder and bowlers has to be in the fantasy team, excluding the player, including player, and so forth. The fantasy team prediction module 108 may be configured to filter the predicted fantasy teams on the computing device 102 by applying the consistency ranking to the players’. The fantasy team prediction module 108 may be configured to assign the consistency ranking to the players on the computing device 102 based on the batting performance, fielding performance and the bowling performance. The fantasy team prediction module 108 may be configured to filter the predicted fantasy teams based on the probable combinations with the user preference (exclude/include the player) and multiple player combinations (=<100 team credits). The fantasy team prediction module 108 may be configured to facilitate a manual intervention of player ranking when the central database 104 don't have enough the historical data and the player performance or in case of any data discrepancies. (For example, the manual intervention of player ranking may be required for underl9 players, domestic league match player, or first class match players, state match/club match players and so forth.)

[0043] Referring to FIG. 2 is a block diagram 200 depicting a schematic representation of a fantasy team prediction module 108 shown in FIG. 1, in accordance with one or more embodiments. The fantasy team prediction module 108 includes, a bus 201, a registering module 202, a performance analyzing module 204, a performance comparing module 206, a performance predicting module 208, a ranking module 210, a team composition module 212, and a team combination filtering module 214. The term “module” is used broadly herein and refers generally to a program resident in the memory of the computing device 102. The bus 201 may include a path that permits communication among the modules of the fantasy team prediction module 108.

[0044] The registering module 202 may be configured to enable the end-user to sign-up on the computing device 102 by providing the end-user’s details. The end-user’s details may be interrogated by the fantasy team prediction module 108, which include a user’s last name, a user’s first name, a user’s mobile number, a user’s age, select gender, a user’s occupation, a user’s email, a user’s password, a confirm password, and so forth. The registering module 202 may be configured to enable the end-user to login on the computing device 102 by providing the required identity credentials. The identity credentials may include, but not limited to, name, mobile number, age, gender, occupation, email identity, password, and so forth.

[0045] The performance analyzing module 204 may be configured to analyze the performance of the sports players’ based on the historical data. The performance comparing module 206 may be configured to compare the historical data of multiple sports players. The performance predicting module 208 may be configured to predict the future performance of the sports players’ and provide the predictions to the end-users based on the analyzation of historical data. The ranking module 210 may be configured to assign the ranking to the sports players’ by analyzing the historical data of the sports players’. The ranking module 210 may be configured to provide best combinations of sports players (For example, eleven players) based on the historical data. The team composition module 212 may be configured to generate the fantasy teams with the end-user preference or without the end-user preference by predicting the performance of sports players’ based on the historical data. The team combination filtering module 214 may be configured to filter the fantasy teams based on the probable combinations. The probable combinations of fantasy teams may be based on the multiple player combinations, and by excluding/mcluding the players based on the user preference. The team combination filtering module 214 may also be configured to filter the multiple player combinations based on the predetermined team credits of the fantasy teams. The predetermined team credits may include, but not limited to, fantasy teams with less than or equal to 100 team credits, the sum of total player credits is less than or equal to 100 team credits, and so forth. The player ranking may also consider different weightage for different levels or teams, for example, players who performed well at international level may have more weightage then who performed well in state/club teams and so forth and the player who performed well with a strong team may have a better ranking than the player who performed well against a weak team.

[0046] Referring to FIG. 3 A is an example diagram 300a depicting the home screen, in accordance with one or more exemplary embodiments. The home screen 300a depicting a home option 302, a news option 304a, a series option 306, a profile option 308, a game center option 310, a filter by tournament option 312, a filter by team option 314, a sort by format option 316, a sort by month/year option 318, a reset filters icon 320, a today match details 322, and future match details 324. The today match details 322 may include a today’s first match 326a, and a second match 326b, and so forth. The future match details 328 may include the up-coming matches 328a, 328b, 328c, 328d, 328e, and 328f.

[0047] The home option 302 may be configured to enable the end-user to view the home screen 300a of the fantasy team prediction module 108 on the computing device 102. The news option 304a may be configured to enable the end-user to view the sports news on the computing device 102. The sports news may include about sports players, matches, leagues, and so forth. The series option 306 may be configured to enable the end-user to view the list of series on the computing device 102. The list of series may include, but not limited to, list of today matches, list of up coming matches, and so forth. The predictions option 308 may be configured to enable the end- user to view the predictions on the matches. The game center option 310 may be configured to enable the end-user to login or register the fantasy team prediction module 108 on the computing device 102. The filter by tournament option 312 may be configured to enable the end-user to view the desired tournaments of the desired teams. The tournaments may include, but not limited to, Team A is matched up against Team B in a third week, Team A is matched up against Team D in a fourth week, and so forth. The filter by team option 314 may be configured to enable the end- user to sort the desired teams to display on the computing device 102. The sort by format option 316 may be configured to enable the end-user to sort the tournaments in a desired tournament format. The tournament format may include, but not limited to, national leagues, international leagues, contests and so forth. The sort by month/year option 318 may be configured to enable the end-user to view the tournaments scheduled in the desired month/desired year on the computing device 102. The reset filters icon 320 may be configured to reset all the filters applied by the end-user if the end-user wants to try another possibility of sports players (For example, eleven players). The first match 326a, and the second match 326b and up-coming matches 328a, 328a, 328b, 328c, 328d, 328e, and 328f may include the list of match information. The match information may include, but not limited to, team name, time, venue (stadium name), place, country, date, day, month, year and so forth.

[0048] Referring to FIG. 3B is an example diagram 300b depicting the arrangement of sports players screen, in accordance with one or more exemplary embodiments. The arrangement of sports players’ screen 300b depicting a first match 326a, and a list of sports players’ screen 330a. The list of sports players’ screen 330a includes a batsman option 332, an all-rounder option 334, a wicket keeper 336, bowler’s option 338, a team 1 option 340, a team 2 option 342, and a team 3 option 344. On selecting the batsman option 332, the list of sports players’ screen 330a is appeared on the computing device 102. The list of sports players’ screen 330a depicting rating details 346, player names 348, team names 350, points 352, a compare option 354, and an exclude/include option 356. The rating details 346 may include batsmen rating. The player names 348 may include the best batsmen names of all the teams. The team names 350 may include the team name of the best batsmen names. The points 352 may include the batsman points. The compare option 354 may be configured to enable the end-user to select multiple sports players to perform comparison between the player performances. The exclude/include option 356 may be configured to enable the end-user to exclude/include the sports player in the fantasy team. For example, on selecting the all-rounder option 334/the wicket keeper 336/bowler’s option 338/the all-rounder option 334, the list of sports players’ screen 330a may be displayed on the computing device 102. The list of sports players’ screen 330a depicting the rating, player name, team name, points, compare option and exclude/include option to create the fantasy team with the desired sports players. The team 1 option 340, the team 2 option 342, and the team 3 option 344 may be configured to depict the list of sports players selected by the end-user to create the fantasy teams. For example, the team 1 option 340, the team 2 option 342, and the team 3 option 344 may be configured to enable the end- users to create three different teams. In Team 1, the end-user need to select a first player and a second player and exclude a third player. In Team 2, the end-user need to select the first player and the third player and exclude a fourth player. In Team 3, the end-user need to select the second player and the third player and exclude the first player. Based on these end-user preferences the ranking module 210 may provide the best combinations of sports players based on the historical data.

[0049] Referring to FIG. 3C is an example diagram 300c depicting the list of selected sports players’ screen, in accordance with one or more exemplary embodiments. The list of selected sports players’ screen 300c includes the list of sports players’ screen 330a. The list of sports players’ screen 330a includes the exclude/mclude option 356, and a generate option 358. On sliding the exclude/include option 356 to left, the player may not be added to the fantasy team which is created by the end-user. On sliding the exclude/include option 356 to right, the player may be added to the fantasy team which is created by the end-user. The generate option 358 may be configured to provide the predicted sports players to the fantasy team.

[0050] Referring to FIG. 3D is an example diagram 300d depicting the fantasy team screen, in accordance with one or more exemplary embodiments. The fantasy team screen 300d includes the player’s screen 330a. The player’s screen 330a includes the batsman option 332, the all-rounder option 334, the wicket keeper 336, the bowler’s option 338, the team 1 option 340, the team 2 option 342, and the team 3 option 344. The team 1 option 340, the team 2 option 342, and the team 3 option 344 may be configured to depict the predicted fantasy teams to the end-user on the computing device 102. The predicted fantasy team may be generated by selecting the generate option 358 on the computing device 102.

[0051] Referring to FIG. 3E is an example diagram 300e depicting the profile screen, in accordance with one or more exemplary embodiments. The profile screen 300e depicting the home option 302, the news option 304a, the series option 306, the profile option 308, the game center option 310, the filter by tournament option 312, the filter by team option 314, the sort by format option 316, the sort by month/year option 318, reset filters icon 320, today match details 322, future match details 324 and a star mark 325. On selecting the profile option 308, the computing device 102 may be configured to depict the profile screen 300e. The profile screen 300e may be configured to depict an account option 360, saved matches option 362, share option 364, and help and support option 366. The account option 360 may allow the end-user to update the end-user details. The end-user details may include, but not limited to, user name, user ID, user mobile number, user mail-ID, address, and so forth. The saved matches option 362 may be configured to depict the selected fantasy teams for the matches of the end-user. The share option 364 may allow the end-user to share the fantasy team information to friends, competitors, co-players, and so forth. The help and support option 366 may be configured to provide the answers for the problems addressed by the end-user. The star mark 325 may be configured to indicate the end-user selected match from the list of today match details and the up-coming match details on the computing device 102.

[0052] Referring to FIG. 3F is an example diagram 300f depicting player comparison screen, in accordance with one or more exemplary embodiments. The player comparison screen 300f depicting match player’s 368a-368n, add player option 370a-370n, the compare option 354. The match player’s 368a-368n may include the multiple sports players from the multiple teams. The add player’s option 370a-370n may be configured to allow the end-user to add the desired sports players to compare the player performance between the multiple players. The compare option 354 may be configured to allow the end user to select desired sports players to compare the player’s performance with the multiple sports players.

[0053] Referring to FIG. 3G is an example screen 300g depicting the selected player’s comparison screen, in accordance with one or more exemplary embodiments. The selected player’s comparison screen 300g depicting the selected player’s 372a-372n, batting score details 374, and remove icons 376a-376d, add player option 370a-370n. The selected player’s 372a-372n may be selected by comparing the historical data. The batting score details 374 may include the player’s information of the each individual selected player. The player’s information may include, but not limited to, matches, innings, not outs, runs, highest score, average, balls faced, strike rate, hundreds, fifties, sixes, fours, and so forth. The remove icons 376a-376d, and add player option 370a-370n may enable the end-user to mclude/exclude the sports players.

[0054] Referring to FIG. 3H is an example diagram 300h depicting the career screen, in accordance with one or more exemplary embodiments. The career screen 300h depicting the selected player career by selecting the particular player from the multiple players’ names displayed on the selected player’s comparison screen 300g. The career screen 300h may include player name, team, born, place of birth, batting style, bowling style and nationality. The career screen 300h may include a game log option 378a, career option 378b, and news option 304b. On selecting the career option 378b, the career option 378b may enable the computing device 102 to display the career screen 300h. The career screen 300h may be configured to depict the batting and fielding statistics 380a and bowling statistics 380b of the selected player. The batting and fielding statistics 380a may include, but not limited to, matches, innings, runs, not outs, average, strike rate, hundreds, fifties, highest score, catches, stumps and so forth. The batting and fielding statistics 380a and the bowling statistics 380b of the selected player may be represented with respect to tests, one days, twenty-twenties, IPL, and so forth. The bowling statistics 380b may include, but not limited to, overs, innings, matches, runs, wickets, best, average, three wickets, five wickets, strike rate, economy rate and so forth.

[0055] Referring to FIG. 31 is an example diagram 300i depicting the game log screen, in accordance with one or more exemplary embodiments. The game log screen 300i depicting player name, team, born, place of birth, batting style, bowling style and nationality. On selecting the game log option 378a, the game log option 378a may enable the computing device 102 to depict the previous match statistics 382 of the selected player. The previous match statistics 382 may include, but not limited to, innings, runs, not outs, average, strike rate, hundreds, fifties, highest score, and so forth.

[0056] Referring to FIG. 3J is an example screen 300j depicting the news screen, in accordance with one or more exemplary embodiments. The news screen 300j may be configured to display the latest news related to the selected sports player.

[0057] Referring to FIG. 4 is a flowchart 400 depicting an exemplary method for comparing and predicting the performance of sports players’ to generate fantasy teams, in accordance with one or more exemplary embodiments. As an option, the method 400 is carried out in the context of the details of FIG. 1, FIG. 2, and FIG.3. However, the method 400 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below. [0058] The exemplary method 400 commences at step 402, selecting the match to create fantasy teams using the fantasy team prediction module on the computing device. Thereafter at step 404, displaying the multiple sports players playing for the selected match on the computing device. Thereafter at step 406, allowing the end-user to compare the historical data of the player with other sports players on the computing device. Thereafter at step 408, allowing the end-user to include/exclude the player in the desired fantasy team. Determining whether the end-user selects the generate option after including/excludmg the player, at step 410. If answer to the step 410 is YES, the method continues at step 412, filtering the fantasy teams on the computing device by mcludmg/excluding the player using the fantasy team prediction module. Thereafter at step 414, sorting the fantasy teams on the computing device by applying the consistency ranking to the players using the fantasy team prediction module. Thereafter at step 416, displaying the predicted fantasy teams on the computing device based on the end-user’s preference using the fantasy team prediction module. If answer to the step 410 is NO, the method continues at step 418, generating the fantasy teams on the computing device by comparing the historical data and predicting the performance of the sports players without the end-user’s preference.

[0059] Referring to FIG. 5 is a flowchart 500 depicting an exemplary method for providing predictions to the end-users, in accordance with one or more exemplary embodiments. As an option, the method 500 is carried out in the context of the details of FIG. 1, FIG. 2, FIG 3, and FIG. 4. However, the method 500 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0060] The exemplary method 500 commences at step 502, registering the fantasy team prediction module by the end-user on the computing device. Thereafter at step 504, selecting the match to generate the fantasy teams using the fantasy team prediction module on the computing device. Thereafter at step 506, displaying the multiple sports players playing for the selected match on the computing device and comparing the historical data of the sports player’s with other sports players by the fantasy team prediction module. Thereafter at step 508, including/excluding the player in the desired fantasy teams by analyzing the historic data on the fantasy team prediction module. Thereafter at step 510, generating the fantasy teams on the computing device after excluding/including the sports player. Thereafter at step 512, displaying the fantasy teams on the computing device based on the user preference using the fantasy team prediction module. Thereafter at step 514, saving the fantasy teams by the end-user which is generated on the computing device using the fantasy team prediction module.

[0061] Referring to FIG. 6 is a flowchart 600 depicting another exemplary method for providing predictions to the end-users, in accordance with one or more exemplary embodiments. As an option, the method 600 is carried out in the context of the details of FIG. 1, FIG. 2, FIG.3, FIG. 4, and FIG. 5. However, the method 600 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0062] The exemplary method 600 commences at step 602, selecting the match by the end-user to generate the fantasy teams using the fantasy team prediction module. Thereafter at step 604, displaying the multiple sports players playing for the selected match on the computing device to create the fantasy teams. Thereafter at step 606, allowing the end-user to select the generate option on the computing device to generate the fantasy teams. Determining whether the end-user selects the preferred team composition (end-user preference, for example, how many batsmen, all- rounder’s and bowlers has to be in the fantasy team) to generate the fantasy teams, at step 608. If answer to the step 608 is NO, the method continues at step 610, generating the fantasy teams by comparing the historical data and predicating the performance of the player’s using the fantasy team prediction module. Thereafter at step 612, filtering the fantasy teams with the probable combinations based on the historical data and the performance predictions on the player’s. Thereafter at step 614, filtering the fantasy teams based on the total player credits sum is equal to or less then predefined team credits (whose team credits comes under 100 team credits and eliminates the combinations which are over 100). Thereafter at step 616, applying the consistency ranking and the performance ranking to the each player based on the historical data of the players by the fantasy team prediction module. Thereafter at step 618, assigning the consistency ranking to the players for the filtered fantasy teams by the fantasy team prediction module. Thereafter at step 620, sorting the probable fantasy teams with the consistency ranking players and selecting the highest ranking consistency players on the computing device. Thereafter at step 622, displaying the top fantasy teams (For example, top three fantasy teams) with the highest ranking consistency players on the computing device. If answer to the step 608 is YES, the method continues at step 624, predicting and generating the fantasy teams by excluding/including the players based on the end-user’s preference using the fantasy team prediction module. Thereafter at step 626, filtering the fantasy teams with the probable combinations by including/excluding the players based on the end-user’s preference. Thereafter the method continues at step 614.

[0063] Referring to FIG. 7 is a flowchart 700 depicting another exemplary method for sorting the fantasy teams, in accordance with one or more exemplary embodiments. As an option, the method 700 is carried out in the context of the details of FIG. 1, FIG. 2, FIG.3, FIG. 4, FIG. 5, and FIG. 6. However, the method 700 is carried out in any desired environment. Further, the aforementioned definitions are equally applied to the description below.

[0064] The exemplary method 700 commences at step 702, selecting the match using the fantasy team prediction module on the computing device by the end-user. Thereafter at step 704, enabling the end-user to select sports players’ to compare the performance of the sports players’ using historical data by the fantasy team prediction module. Thereafter at step 706, predicting and generating the fantasy teams by the fantasy team prediction module based on the historical data of the sports players’ performance with the end-user’s preference. Thereafter at step 708, filtering the fantasy teams on the computing device based on the probable combinations using the fantasy team prediction module. Thereafter at step 710, sorting the fantasy teams on the computing device by applying the consistency ranking to the players using the fantasy team prediction module. Thereafter at step 712, displaying the predicted fantasy teams on the computing device by the fantasy team prediction module.

[0065] Referring to FIG. 8 is a block diagram 800 illustrating the details of a digital processing system 800 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. The Digital processing system 800 may correspond to the computing device 102 (or any other system in which the various features disclosed above can be implemented).

[0066] Digital processing system 800 may contain one or more processors such as a central processing unit (CPU) 810, random access memory (RAM) 820, secondary memory 830, graphics controller 860, display unit 870, network interface 880, and input interface 890. All the components except display unit 870 may communicate with each other over communication path 850, which may contain several buses as is well known in the relevant arts. The components of Figure 8 are described below in further detail.

[0067] CPU 810 may execute instructions stored in RAM 820 to provide several features of the present disclosure. CPU 810 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 810 may contain only a single general-purpose processing unit.

[0068] RAM 820 may receive instructions from secondary memory 830 using communication path 850. RAM 820 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 825 and/or user programs 826. Shared environment 825 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 826.

[0069] Graphics controller 860 generates display signals (e.g., in RGB format) to display unit 870 based on data/instructions received from CPU 810. Display unit 870 contains a display screen to display the images defined by the display signals. Input interface 890 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 880 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems (such as those shown in Figure 1) connected to the network 106.

[0070] Secondary memory 830 may contain hard drive 835, flash memory 836, and removable storage drive 837. Secondary memory 830 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 800 to provide several features in accordance with the present disclosure.

[0071] Some or all of the data and instructions may be provided on removable storage unit 840, and the data and instructions may be read and provided by removable storage drive 837 to CPU 810. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 837.

[0072] Removable storage unit 840 may be implemented using medium and storage format compatible with removable storage drive 837 such that removable storage drive 837 can read the data and instructions. Thus, removable storage unit 840 includes a computer readable (storage) medium having stored therein computer software and/or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.).

[0073] In this document, the term "computer program product" is used to generally refer to removable storage unit 840 or hard disk installed in hard drive 835. These computer program products are means for providing software to digital processing system 800. CPU 810 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[0074] The term “storage media/medium” as used herein refers to any non-transitory media that store data and/or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 830. Volatile media includes dynamic memory, such as RAM 820. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge.

[0075] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fiber optics, including the wires that comprise bus (communication path) 850. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications. [0076] Reference throughout this specification to “one embodiment”, “an embodiment”, or similar language 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, appearances of the phrases “in one embodiment”, “in an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0077] Furthermore, the described features, structures, or characteristics of the disclosure may be combined in any suitable manner in one or more embodiments. In the above description, numerous specific details are provided such as examples of programming, software modules, user selections, network transactions, database queries, database structures, hardware modules, hardware circuits, hardware chips, etc., to provide a thorough understanding of embodiments of the disclosure.

[0078] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[0079] Thus the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.

Claims

1. A system to generate a fantasy team by predicting the performance of sports players, comprising: a computing device configured to allow an end-user to select a match on a fantasy team prediction module, wherein the fantasy team prediction module configured to compare and predict one or more sports players’ performance using historical data, the fantasy team prediction module configured to generate one or more fantasy teams based on the historical data of the one or more sports players’ performance with an end-user’s preference, the fantasy team prediction module also configured to predict and generate the one or more fantasy teams based on the historical data of the one or more sports players’ performance without the end-user’s preference; and a central database configured to store the end-user’s details, matches, historical data of the one or more sports players, the fantasy team prediction module configured to retrieve the historical data of the one or more sports players from the central database via a network.

2. The system as claimed in claim 1 , wherein the fantasy team prediction module comprising a performance analyzing module is configured to analyze the performance of the one or more sports players based on the historical data.

3. The system as claimed in claim 1, wherein the fantasy team prediction module comprising a performance comparing module is configured to compare the historical data of the one or more sports players on the computing device.

4. The system as claimed in claim 1 , wherein the fantasy team prediction module comprising a performance predicting module configured to predict the future performance of the one or more sports players in the one or more up-coming matches on the computing device.

5. The system as claimed in claim 4, wherein the performance predicting module is configured to provide the one or more predictions to the end-user on the computing device based on the analyzation of historical data.

6. The system as claimed in claim 1 , wherein the fantasy team prediction module comprising a ranking module is configured to assign rankings to the one or more sports players on the computing device by analyzing the historical data of the sports layers.

7. The system as claimed in claim 1 , wherein the fantasy team prediction module comprising a team composition module is configured to generate one or more fantasy teams with the end- user preference or without the end-user preference by predicting the performance of the one or more sports players’ based on the historical data.

8. The system as claimed in claim 1, wherein the fantasy team prediction module comprising a team combination filtering module is configured to filter the one or more fantasy teams based on one or more probable combinations.

9. The system as claimed in claim 8, wherein the team combination filtering module is configured to filter one or more player combinations based on a predetermined team credits of the one or more fantasy teams.

10. A method for generating a fantasy team by predicting the performance of sports players, comprising: selecting a match using a fantasy team prediction module on a computing device by an end-user, whereby the computing device configured to display one or more sports players and enable the end-user to select the one or more sports players for comparing the one or more sports players performance using historical data by the fantasy team prediction module; predicting and generating one or more fantasy teams based on the historical data of the one or more sports players’ performance with an end-user’s preference; filtering the one or more fantasy teams on the computing device based on one or more probable combinations using the fantasy team prediction module; sorting the one or more fantasy teams on the computing device by applying a consistency ranking to the one or more sports players’ using the fantasy team prediction module; and displaying the one or more predicted fantasy teams on the computing device by the fantasy team prediction module.

11. The method as claimed in claim 10, comprising a step of receiving the historical data of the one or more sports players to the fantasy team prediction module from a central database.

12. The method as claimed in claim 10, comprising a step of assigning a ranking to the one or more sports players by analyzing the historical data of the one or more sports layers.

13. The method as claimed in claim 10, comprising a step of calculating probable combinations of the sports players comes under predetermined credits while making the one or more fantasy teams.

14. The method as claimed in claim 10, comprising a step of providing the combination of sports players whose credit points comes under the predetermined credits and then eliminating the combinations which are greater than the predetermined credits.