Automated method and system for a gaming opportunity

Abstract

A method and system of applying for a gaming opportunity, including accessing a server for the gaming opportunity through a player device providing identification data to the server, and receiving an indication of eligibility for the gaming opportunity from the server based on at least one composite score indicative of a scale of eligibility for the gaming opportunity, the composite score obtained by weighting disparate player data based on at least one business rule and applying the weighted data to at least one decision model to generate the score, the disparate player data obtained from a plurality of data sources.

1 . A method of applying for a gaming opportunity, comprising the steps of:
 accessing a server for the gaming opportunity through a player device;   providing identification data to the server; and   receiving an indication of eligibility for the gaming opportunity from the server based on at least one composite score indicative of a scale of eligibility for the gaming opportunity, the composite score obtained by weighting disparate player data based on at least one business rule and applying the weighted data to at least one decision model to generate the score, the disparate player data obtained from a plurality of data sources.   
   
   
       2 . The method of  claim 1 , wherein the step of accessing the server includes analyzing user-specific information. 
   
   
       3 . The method of  claim 1 , wherein the step of accessing the server includes checking whether the server is accessed from an authorized jurisdiction. 
   
   
       4 . The method of  claim 1 , wherein the step of accessing the server includes checking whether the server is accessed from an authorized location within a jurisdiction. 
   
   
       5 . The method of  claim 1 , wherein the step of accessing the server includes checking whether the server is accessed using an authorized player device. 
   
   
       6 . The method of  claim 1 , wherein the step of accessing the server includes checking one or more of
 as IP address from which the server is accessed,   a Media Access Control (MAC) address of the player device used to access the server,   a serial number of the player device used to access the server,   reverse email directories, and   gaming facility databases.   
   
   
       7 . The method of  claim 1 , wherein the disparate player data is validated by verifying the player data using at least one independent data source. 
   
   
       8 . The method of  claim 1 , wherein the business rule includes jurisdictional requirements. 
   
   
       9 . The method of  claim 1 , wherein the business rule includes age requirements of the player. 
   
   
       10 . The method of  claim 1 , wherein the business rule includes an exclusion list. 
   
   
       11 . The method of  claim 1 , wherein the business rule includes a player skill level requirement. 
   
   
       12 . The method of  claim 1 , wherein the business rule includes a cost of annoyance. 
   
   
       13 . The method of  claim 1 , wherein the business rule includes a history of use by the player of impermissible playing methods. 
   
   
       14 . The method of  claim 1 , wherein weights for the weighting is adjustable. 
   
   
       15 . The method of  claim 1 , wherein the player data are weighted based on age of the player data. 
   
   
       16 . The method of  claim 1 , wherein the player data are weighted based on accuracy. 
   
   
       17 . The method of  claim 1 , wherein regulatory criteria are given the greatest weight. 
   
   
       18 . The method of  claim 1 , wherein the player data are weighted based on comparison to a range of values observed in other players. 
   
   
       19 . The method of  claim 1 , wherein nested business rules are used to weight the player data. 
   
   
       20 . The method of  claim 1 , wherein the at least one decision model includes a feedback loop. 
   
   
       21 . The method of  claim 1 , wherein the at least one decision model includes predictive statistical modeling. 
   
   
       22 . The method of  claim 1 , wherein the at least one decision model includes an adaptive algorithm. 
   
   
       23 . The method of  claim 22 , wherein the adaptive algorithm is at least one of a logical multiple regression, a neural network, a Bayesian classification, a variance analysis, and a classification tree. 
   
   
       24 . The method of  claim 1 , wherein the composite score includes at least one base score. 
   
   
       25 . The method of  claim 24 , wherein the base score is adjustable based on any one of
 (a) weight of the player data used to calculate the base score,   (b) accuracy of the player data used to calculate the base score,   (c) age of the player data used to calculate the base score, and   (d) completeness of the player data used to calculate the base score.   
   
   
       26 . The method of  claim 1 , wherein the composite score includes an averaged base score. 
   
   
       27 . The method of  claim 26 , wherein at least one composite score is calculated as an average of at least two base scores. 
   
   
       28 . The method of  claim 1 , wherein the indication of eligibility indicates that the player is eligible for the gaming opportunity if the composite score is within a first range. 
   
   
       29 . The method of  claim 1 , wherein the indication of eligibility indicates that the player is ineligible for the gaming opportunity if the composite score is within a second range. 
   
   
       30 . The method of  claim 1 , wherein the indication of eligibility indicates that the player is conditionally eligible for the gaming opportunity if the composite score is above a first threshold but below a second threshold. 
   
   
       31 . The method of  claim 30 , wherein the first and second thresholds are adjustable. 
   
   
       32 . The method of  claim 1 , wherein a cost of annoyance is determined if the composite score is within a second range. 
   
   
       33 . The method of  claim 32 , wherein the cost of annoyance is based on at least one of a cost of allowing the player to play, a cost of not allowing the player to play, and probability of losing future revenue from the player. 
   
   
       34 . The method of  claim 32 , wherein the cost of annoyance is determined based on estimated player revenue, probability that the player will not leave, cost of allowing the player to play, and probability that the player is ineligible. 
   
   
       35 . The method of  claim 34 , wherein the estimated player revenue is calculated based on a theoretical win per game and number of times an average player plays a game. 
   
   
       36 . The method of  claim 32 , wherein the player is indicated as eligible for the gaming opportunity if the cost of annoyance is within a third range. 
   
   
       37 . The method of  claim 32 , wherein the player is indicated as ineligible for the gaming opportunity if the cost of annoyance is within a fourth range. 
   
   
       38 . The method of  claim 32 , where the player is manually screened for eligibility of the gaming opportunity if the cost of annoyance is between a third and fourth threshold. 
   
   
       39 . The method of  claim 32 , wherein the step of determining the cost of annoyance includes subtracting the cost of a false positive from the revenue lost from not allowing the player to play. 
   
   
       40 . The method of  claim 39 , wherein the step of determining the cost of annoyance includes subtracting cost of a false negative from the cost of allowing the player to play. 
   
   
       41 . The method of  claim 30 , wherein the indication of eligibility is conditioned on the player receiving coaching during play. 
   
   
       42 . The method of  claim 41 , wherein coaching is provided according to at least one gaming strategy. 
   
   
       43 . The method of  claim 41 , wherein coaching is provided if a player has less than a predetermined credit rating. 
   
   
       44 . The method of  claim 41 , wherein coaching is provided to a player below a predetermined level of playing experience. 
   
   
       45 . The method of  claim 41 , wherein coaching is provided from a compilation of tips from at least one gaming celebrity. 
   
   
       46 . The method of  claim 30 , wherein the indication of eligibility is conditioned on the player having to play according to at least one predetermined gaming strategy. 
   
   
       47 . The method of  claim 46 , wherein the at least one predetermined gaming strategy is required if the player is below a predetermined level of playing experience. 
   
   
       48 . The method of  claim 46 , wherein the player is monitored for compliance with the at least one predetermined gaming strategy. 
   
   
       49 . The method of  claim 28 , wherein the player with at least one composite score within the first range is allowed to play in an automated playing mode. 
   
   
       50 . The method of  claim 46 , wherein the player playing according to the at least one predetermined gaming strategy is allowed to play in an automated playing mode. 
   
   
       51 . A system for a gaming opportunity, comprising:
 a player device in communication with a server, the player device providing identification data to the server, and receiving an indication of eligibility for the gaming opportunity from the server based on at least one composite score indicative of a scale of eligibility for the gaming opportunity, the composite score obtained by weighting disparate player data based on at least one business rule and applying the weighted data to at least one decision model to generate the score, the disparate player data obtained from a plurality of data sources.   
   
   
       52 . A computer program product comprising computer readable medium having stored thereon computer executable instructions that, when executed on a computer, causes the computer to perform a method of applying for a gaming opportunity comprising the steps of:
 accessing a server for the gaming opportunity through a player device;   providing identification data to the server; and   receiving an indication of eligibility for the gaming opportunity from the server based on at least one composite score indicative of a scale of eligibility for the gaming opportunity, the composite score obtained by weighting disparate player data based on at least one business rule and applying the weighted data to at least one decision model to generate the score, the disparate player data obtained from a plurality of data sources.