Virtual League Platform for Performance Prediction
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Solution Overview
Problem
Individuals participating in multiple-stage sporting activities face challenges in estimating their performance on unfamiliar courses and measuring progress over time, as traditional training methods require physical relocation to competition sites and lack accurate assessment tools.
Innovation Solution
A platform that maintains personal performance statistics to determine course difficulty ratings and allows users to predict performance on unfamiliar courses based on historical data, enabling virtual competition and personalized training goals, while promoting socialization and accessibility of multiple-stage sports through a virtual league system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individuals train on local courses or physically move to competition locations, then they can train for the competition, but they cannot accurately estimate their performance on unfamiliar courses
Solution Approach 1:
The patent creates virtual copies of physical courses with standardized difficulty ratings and characteristics. Users can train on local courses that are virtually represented, allowing them to estimate performance on unfamiliar courses by comparing virtual course profiles without physically visiting each location.
Solution Approach 2:
The patent introduces a virtual league platform as an intermediary between users and physical courses. This platform collects performance data, assigns difficulty ratings, and provides performance estimation tools, mediating the interaction between users and unfamiliar courses to enable accurate prediction without direct physical experience.
2Measurement precision
If training spans several months, then individuals can improve their performance, but it is difficult to measure progress with respect to other competitors
Solution Approach 1:
The patent implements continuous feedback mechanisms through the virtual league platform, which tracks user performance over time, compares it against competitors, and provides standardized progress metrics. Users receive regular updates on their standing, performance trends, and comparisons with others, enabling precise progress measurement throughout the training period.
Solution Approach 2:
The patent transforms subjective training progress into objective, standardized parameters through difficulty ratings and normalized performance metrics. By converting diverse training experiences into comparable data points, the system enables precise measurement of progress relative to competitors regardless of training location or specific activities.
3Adaptability or versatility
If a virtual league uses actual race results for scoring, then competition accuracy is high, but accessibility is reduced for those who cannot participate in physical races
Solution Approach 1:
The patent creates virtual representations of physical races where users can compete using local training data that is virtually mapped to standardized course profiles. This virtual copying allows participants who cannot attend physical races to compete with accuracy maintained through standardized difficulty ratings and performance normalization.
Solution Approach 2:
The virtual league platform acts as an intermediary that translates diverse local training data into standardized competition results. It mediates between users training on different courses and the unified competition scoring system, maintaining reliability through difficulty adjustments and performance normalization while maximizing accessibility.
Data Source
AI summary
The present disclosure describes a platform that allows individual users to compete against other users in a virtual league. The platform allows individual users to maintain personal performance statistics, which, collectively, are used to determine a projection result of the user's performance in a competition within the league. The platform employs projection result, in combination with, or as a substitute for, results associated with a real race completed by the user, in the scoring of the user against other competitors in the league.