US 12,142,109 B2
Quantum sports betting algorithms engine
Casey Alexander Huke, Washington, DC (US); John Cronin, Jericho, VT (US); Joseph W. Beyers, Saratoga, CA (US); and Michael D'Andrea, Burlington, VT (US)
Assigned to AdrenalineIP, Washington, DC (US)
Filed by AdrenalineIP, Washington, DC (US)
Filed on Aug. 9, 2021, as Appl. No. 17/396,916.
Claims priority of provisional application 63/183,757, filed on May 4, 2021.
Prior Publication US 2022/0358808 A1, Nov. 10, 2022
Int. Cl. G07F 17/32 (2006.01); G06F 17/18 (2006.01); G06N 10/00 (2022.01); G06N 20/00 (2019.01)
CPC G07F 17/323 (2013.01) [G06F 17/18 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G07F 17/3288 (2013.01)] 9 Claims
OG exemplary drawing
 
7. A system of calculating odds on at least one outcome of at least one play in a live sporting event, comprising:
a base module which prompts an odds calculation module, a betting algorithms module, a cross module, an AI comparison module, a final odds module, a wagering module, and a machine learning module;
the betting algorithms module is configured to identify and utilize at least two odds-making formulas and to write the result of those formulas to a cross-database;
the cross module configured to retrieve at least one set of calculated odds from the cross database and calculate a cross of the odds;
the AI comparison module is configured to retrieve historical play data from a historical plays database, retrieve calculated odds from the cross-database, calculate a correlation between the cross of formula outputs and a set of final odds, and write the results of the correlation to the cross-database;
the final odds module is configured to retrieve at least one correlation from the cross-database, identify an odds-making formula with the highest correlation, identify the cross with the identified correlation, and send a set of odds in the identified cross to the base module;
the machine learning module is configured retrieve historical play data from the historical plays database, retrieve cross data from the cross-database, retrieve wagers on identified plays from a user database, calculate a set of odds with the highest value for the wagering network, correlating the odds-making formulas with the highest value odds, and write at least one correlation to the cross-database;
the cross-database is configured to contain the output of the betting algorithms module, the cross-module, the AI comparison module, the final odds module, the machine learning module, and the odds-making formulas used by the betting algorithms module; and
at least one of a classical computer configured to calculate odds, a supercomputer configured to calculate odds; and a quantum computer configured to calculate odds.