PATENT CLAIM ANALYSIS

Application Number: 15990735
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["463", "042000"]

Abstract:
A method and system for providing a fantasy competition, in which the method includes determining a set of real-world players eligible for scoring in a fantasy competition; assigning a value for each of the real-world players; determining a salary cap for the fantasy competition; randomly assigning real-world players to a team roster; performing a draft in which the participants select real-world players who were not randomly assigned to a team roster; randomly assigning one or more real-world players to a taxi squad; receiving an indication of the real-world players assigned to the active roster; determining whether the combined value of the real-world players assigned to the active roster exceeds the salary cap; and performing a fantasy competition in which a score for each team roster associated with a participant is based on the performance, in one or more real-world events, of the real-world players assigned to the active roster.

Claim (Index 37):
The method of  claim 1  in which the exchange randomly assigns real-world players to a team roster associated with a participant of a fantasy competition without human input using a circuit that generates random numbers or pseudorandom numbers.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 93.0
- Lexical Diversity: 2.63934
- Patent Class: 463.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15078844', '12854057', '15049206', '11845739', '13970512']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3729773720439833
- 35 USC 102 Novelty (BERT): 0.5944143311133914
- Combined Prediction Score: 0.3951210679509241
- Mean Citation Score: 408.71163
- Max Citation Score: 637.9186
- Similarity Product: 445.4252908875346

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