PATENT CLAIM ANALYSIS

Application Number: 15886779
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["273", "440000"]

Abstract:
A process that utilizes single squad matchup predictions pools, non scoring forces possession changes, binary stats, players participants predictions, real-time or known statistical outcome that's compared to other squads, teams, individuals, positions, athletes, ranking and wagering based on a single contest or pool cumulative averages. Stat knowledge IQ differences allow players to control the outcome of their participation. It captures both offensive and defensive scores based on fans prediction IQ and not the actual game results, real-time, retro or fantasy. It is a self sustaining validating process.

Claim (Index 2):
A computer based method for quantifying a game-player's prediction skills and statistical knowledge of athletic performance as in  claim 1  further characterized in that the defensive scoring event is any of a fumble recovery, interception or other turnover, a quarterback forced turnover sack, forcing a punt, stripping the ball from an offensive player with defense recovery, a safety, a touchback, a fourth down non-conversion, a two point non-conversion, blocking an extra point, blocking a punt or any time a defense prevents an offense from scoring a touchdown or converting a special points team.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 88.0
- Lexical Diversity: 1.43056
- Patent Class: 273.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15078844', '13785748', '14470600', '11845739', '13454736']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5903632253273194
- 35 USC 102 Novelty (BERT): 0.529718443015667
- Combined Prediction Score: 0.5842987470961541
- Mean Citation Score: 303.754024
- Max Citation Score: 314.07248
- Similarity Product: 187.55091737222668

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

Dataset: test