Fantasy Sports Pick Optimization Server
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Solution Overview
Problem
Current systems for conducting fantasy sports contests lack efficient methods for identifying optimal picks and managing contest entries, leading to suboptimal user experiences and revenue generation.
Innovation Solution
A method involving a server computing device that receives user information, retrieves data from fantasy sports websites, and determines optimal picks based on historical performance, salary caps, player values, and scoring rules, while also managing contest entries and offering cash-out options, to enhance user engagement and revenue streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of fantasy sports picks is used, then users can make their own choices, but the quality and optimality of picks deteriorates due to lack of data analysis
Solution Approach 1:
The patent introduces an intermediary system (server computing device with analytics engine) that acts as a mediator between raw sports data and user decision-making. This intermediary automatically collects, analyzes, and processes data from multiple sources, then presents optimized pick recommendations to users, thereby improving pick quality without requiring users to directly handle complex data analysis themselves
Solution Approach 2:
The system enables self-service by automatically gathering data from fantasy sports websites, performing analytics calculations, and generating optimal pick recommendations without requiring manual user intervention. The analytics engine autonomously processes data based on historical performance, salary caps, and scoring rules to deliver ready-to-use insights
2Productivity
If basic contest management is used, then contest operations are simple, but revenue generation and user engagement deteriorate due to lack of dynamic features
Solution Approach 1:
The patent implements dynamic contest management where the system continuously adjusts contest parameters, pricing, and prize pools based on real-time data analysis and user behavior. The analytics engine dynamically optimizes contest configurations to maximize revenue and engagement, transforming static contest operations into adaptive, responsive management that automatically responds to changing conditions
Solution Approach 2:
The system incorporates feedback loops where contest performance data, user engagement metrics, and revenue information are continuously collected and analyzed. This feedback is then used to automatically adjust future contest configurations, pricing strategies, and marketing approaches, creating a self-optimizing system that improves revenue generation over time through data-driven decision making
3Measurement precision
If comprehensive data analysis is performed, then optimal picks are identified accurately, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and pre-analyzing sports data in advance of when it is needed for pick generation. The system maintains pre-computed statistical models, historical performance data, and player metrics that are ready for rapid querying. This allows the analytics engine to quickly generate accurate pick recommendations without performing complete data analysis from scratch each time
Solution Approach 2:
The system optimizes processing efficiency by dynamically adjusting analysis parameters and computational depth based on data availability, time constraints, and confidence requirements. The analytics engine can switch between different levels of analysis granularity, using simplified models when speed is critical and more comprehensive analysis when accuracy is paramount, thereby balancing processing time with pick accuracy
Data Source
AI summary
The present invention provides methods and system of identifying and communicating optimal fantasy sports pick(s). The methods comprise receiving, from one or more individual user(s), requests for entry into a contest; accepting said requests for entry into said contest; initiating said contest; and awarding prizes based on said ranking of users at the end of the contest.