System for increasing betting level of profitability and methods of use

Abstract

A system for increasing the betting level of profitability via a bet information advisor platform and methods of use, a computer platform having applications to select or identify Bet Information data sources, assign an Age consistency score to each Bet Information data source based on age of source assign a ROI score to each Bet Information data source for each match or game outcome based on profits earned or lost, assign or calculate an Overall Efficiency score for each Bet Information data sources based on Age consistency score and ROI grade/percentage score, utilize Bet Information data sources with an Overall Efficiency score greater than or equal to Threshold for current plays or bets, allocate x %/y %/z % plays or bets to Bet Information data sources 1x/2x/3x Threshold, track each losing positons and the Bet Information data sources associated therewith, assign an increased Risk Amount to the losing Bet Information data sources.

What is claimed is: 
     
         1 . A computer system to raise a betting level profitability of a bettor, the computer system comprising:
 a memory device for storing a plurality of instructions, a bet data source having a bet data, and a bet type, said bet data source is a data source offering an at least one bet trend;   a sensor capable of obtaining a forward view environment information of the bettor; and   a processor in communication with said memory and said sensor and configured to, via communication with said memory, cause the processor to:
 receive said bet data from said bet data source; 
 receive said bet type; 
 execute a first instruction from said plurality of instructions, the first instruction to track said bet data source and collect said forward view environment information; 
 execute a second instruction from said plurality of instructions, the second instruction to execute a risk amount of said bet data source for a bet, based upon a data source efficiency score. 
   
     
     
         2 . The system of  claim 1 , wherein said processor is further configured to execute an instruction to collect a biometric data via a biometric sensor proximate a user and adjusting a position based on said biometric data. 
     
     
         3 . The system of  claim 1 , wherein said processor is further configured to execute an instruction to increment a risk amount of said bet data source for a subsequent bet, based upon said forward view environment information. 
     
     
         4 . The system of  claim 2 , wherein said processor is further configured to:
 execute a third instruction from said plurality of instructions the third instruction to determine an overall efficiency score for each said bet data source;   execute a fourth instruction from said plurality of instructions, the fourth instruction to select each said bet data source having said overall efficiency score; and   execute a fifth instruction from said plurality of instructions, the fifth instruction to elect a risk position utilizing said bet data source having said overall efficiency score.   
     
     
         5 . The system of  claim 3 , wherein said processor is further configured to:
 execute a third instruction from said plurality of instructions the third instruction to determine an overall efficiency score for each said bet data source;   execute a fourth instruction from said plurality of instructions, the fourth instruction to select each said bet data source having said overall efficiency score; and   execute a fifth instruction from said plurality of instructions, the fifth instruction to elect a risk position utilizing said bet data source having said overall efficiency.   
     
     
         6 . The system of  claim 1 , wherein said processor is further configured to:
 execute a third instruction from said plurality of instructions the third instruction to determine an overall efficiency score for each said bet data source;   execute a fourth instruction from said plurality of instructions, the fourth instruction to select each said bet data source having said overall efficiency score;   execute a fifth instruction from said plurality of instructions, the fifth instruction to elect a risk position utilizing said bet data source having said overall efficiency;   
     
     
         7 . The system of  claim 1 , wherein said processor is further configured to execute the following instructions:
 a third instruction to assign a zero age to a new said bet data source;   a fourth instruction to assign a one age to a young said bet data source;   a fifth instruction to assign a two age to an aged said bet data source; and   a sixth instruction to assign a three age to a mature said bet data source.   
     
     
         8 . The system of  claim 1 , wherein said processor is further configured to:
 execute a third instruction to assign a three ROI to a profitable said return on investment percentage score;   execute a fourth instruction to assign a two ROI to a moderate said return on investment percentage score;   execute a fifth instruction to assign a one ROI to a marginal said return on investment percentage score; and   execute a sixth instruction to assign a zero ROI to a poor said return on investment percentage score.   
     
     
         9 . The system of  claim 8 , wherein said processor is further configured to:
 execute a seventh instruction to assign a three overall efficiency score to said bet data source having a young said bet data source and a profitable said return on investment percentage score;   execute an eitghth instruction to assign a two overall efficiency score to said young said bet data source having said good said return on investment percentage score.
 execute a ninth instruction to assign a four overall efficiency score to said young said bet data source having said marginal said return on investment percentage score. 
   
     
     
         10 . The system of  claim 9 , wherein said processor is further configured to execute a tenth instruction to present a proposed bet to a user utilizing said bet data source having said overall efficiency score greater than or equal to four. 
     
     
         11 . The system of  claim 1 , wherein said processor is further configured to execute a third instruction to present a proposed bet to a user utilizing one or more said bet data sources. 
     
     
         12 . The system of  claim 1 , wherein said bet is a multi-team parlay or a pari-mutuel position. 
     
     
         13 . The system of  claim 1 , wherein said processor is further configured to execute a third instruction to compensate a user for a performance above an average, said performance by said user is selected from a group consisting of a social media post, a forum post, a contest, a rebate, an affiliate, and combinations thereof. 
     
     
         14 . The system of  claim 13 , wherein said user is selected from a group consisting of a contestant, a consultant, a handicapper, said data source, a casino, a sports book, a governing body, an end user, and a participant. 
     
     
         15 . The system of  claim 14 , wherein said compensation is an at least one compensation selected from a group consisting of a currency, a crypto currency, a token, and a blockchain. 
     
     
         16 . The system of  claim 1 , wherein a user is selected from a group of user types, the group consisting of a contestant, a consultant, a handicapper, said data source, a casino, a sports book, a governing body, and an end user, said user is capable of setting a money management strategy. 
     
     
         17 . The system of  claim 16 , wherein said data source is selected from a group consisting of said contestant, said consultant, said handicapper, said data source, said casino, said sports book, said governing body, and said end user. 
     
     
         18 . The system of  claim 17 , wherein said user is selected from a group consisting of a contestant, a consultant, a handicapper, said data source, a casino, a sports book, a governing body, and an end user, wherein said user is engaged in a normal course of assigning an odds, setting an odds pricing, targeting marketing strategy based on said odds and said odds pricing, and accounting for a latency in a live or a recorded broadcast based on said odds and said odds pricing, said odds are subject to a daily, an hourly, or a live adjustment. 
     
     
         19 . A method of raising a betting level profitability of a bettor, said method utilizing a computer processor connected to a memory device and a sensor capable of collecting a forward view information, the computer processor configured to execute an instruction comprising the steps of:
 inputting a bet data from a bet data source onto said memory device;   inputting a bet type onto said memory device;   determining an overall efficiency score for each said bet data source;   selecting each said bet data source data source having said overall efficiency score;   electing a risk position utilizing said bet data source having said overall efficiency score;   tracking said bet data source; and   collecting a forward view environment information.   
     
     
         20 . A non-transitory computer readable storage medium having embodied thereon, computer program instructions executable by an at least one processor for analyzing a bet data from an at least one bet data source, a bet type, and a forward view environment information, said computer program instructions comprising:
 a first instruction to input the bet data from the bet data source onto a memory device connected to the non-transitory computer readable medium via the at least one processor;   a second instruction to input the bet type onto said memory device;   a third instruction to determine an overall efficiency score for each said bet data source;   a fourth instruction to select each said bet data source data source having said overall efficiency score;   a fifth instruction to elect a risk position utilizing said bet data source having said overall efficiency score;   a sixth instruction to track said bet data source; and   a seventh instruction to collect the forward view environment information via a sensor proximate a user.