PATENT CLAIM ANALYSIS

Application Number: 16188562
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["463", "026000"]

Abstract:
In a method and system for wagering on sporting events, multiple point-of-purchase terminals are provided for generating tickets, with each ticket including a series of player-selected numbers (or other alphanumeric characters or symbols) or a series of randomly generated numbers (or other alphanumeric characters or symbols), each number corresponding to a selected outcome associated with the one or more sporting events. A first predetermined portion of the purchase price is allocated to a wager on the selected outcomes, which is placed with a sportsbook. Another portion of the purchase price is allocated to a secondary payout pool. Occurrence of the one or more sporting events results in a series of winning outcomes and a payout. The secondary payout pool can then be accessed to award consolation prizes and/or supplement payouts.

Claim (Index 8):
The method as recited in  claim 6 , and further comprising the step of:\n determining, using the first computer server, whether the amount of the payout from the wager exceeds a predetermined minimum amount, and if not, using the secondary payout pool to supplement the payout from the wager, resulting in a final payout.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.85714
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13354532', '14275136', '13957489', '13605813', '14833572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3999976999218023
- 35 USC 102 Novelty (BERT): 0.5181328346496471
- Combined Prediction Score: 0.4118112133945868
- Mean Citation Score: 376.0813139999999
- Max Citation Score: 385.53845
- Similarity Product: 282.5470064222306

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test