AI wager odds adjuster
A method and system for using artificial intelligence (AI) to assess and adjust the betting odds for live game wagers before they are presented to users based correlations between various parameters and user betting behavior, and to adjust the betting odds while the betting window is open based on how users are currently betting compared to expected user betting behavior.
1. A system for adjusting wager odds, comprising:
at least one processor; and
at least one memory having instructions stored thereon which, when executed by the at least one processor, direct the at least one processor to:
filter a historic database to match a current wager available on a gaming device,
select a common parameter within historic data in the historic database,
perform correlations for the selected parameter against other parameters within the historic database,
determine if there is correlated data and the correlated data exceeds a first threshold,
analyze player behavior, and
adjust the current wager on the gaming device based on the correlated data that exceeds the first threshold and the player behavior.
2. The system for adjusting wager odds of claim 1 , wherein the player behavior analyzed is what type of wagers a player places, including one or more of wager type, wager amount, wager frequency, wager win percentage, and teams or players wagered on.
3. The system for adjusting wager odds of claim 1 , wherein the processor is further configured to: determine a geographic location of a player,
wherein the player behavior analyzed is one or more geographic locations the player places wagers from.
4. The system for adjusting wager odds of claim 1 , wherein the player behavior analyzed is how the player interacts with the wagering app, including one or more of number of contacts within the wagering app, time spent of each screen of the app, content watched or selected through the app, and other player interactions with the wagering app.
5. The system for adjusting wager odds of claim 1 , wherein the player behavior analyzed is at least one of a deposit or withdrawal history from a wagering account.
6. The system for adjusting wager odds of claim 1 , wherein the player behavior analyzed is wager performance of the player, including one or more of successful wagers over time, losing wagers over time and performance of wagers made with ranges of odds.
7. A method of adjusting wager odds, comprising:
filtering a historic database to match a current wager available on a gaming device,
selecting a common parameter within historic data in the historic database,
performing correlations, with a server, for the selected parameter against other parameters within the historic database,
determining if there is correlated data and the correlated data exceeds a first threshold,
analyzing player behavior, and
adjusting a current wager on the gaming device based on the correlated data that exceeds the first threshold and the player behavior.
8. The method of adjusting wager odds of claim 7 , wherein the player behavior analyzed is how the player interacts with the wagering app, including one or more of number of contacts within the wagering app, time spent of each screen of the app, content watched or selected through the app, and other player interactions with the wagering app.
9. The method of adjusting wager odds of claim 7 , wherein the player behavior analyzed is at least one of a deposit or withdrawal history from a wagering account.
10. The method of adjusting wager odds of claim 7 , wherein the player behavior analyzed is wager performance of the player, including one or more of successful wagers over time, losing wagers over time and performance of wagers made with ranges of odds.
11. The method of adjusting wager odds of claim 7 , further comprising capturing data related to the current wager available with a sensor.
12. The method of adjusting wager odds of claim 11 , wherein the sensor is at least one of motion sensor, a temperature sensor, a humidity sensor, an optical sensor, a camera, a microphone, a radio receiver, a thermal imager, a tracking device, a touch sensor, and an accelerometer.