Automated Sports Team Position Vulnerability Analysis
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Solution Overview
Problem
In sports games, identifying and addressing vulnerable positions within a team is challenging, as existing methods lack efficient data analysis and trainer recommendation systems to improve team performance.
Innovation Solution
A method and system that analyze user data to determine vulnerable positions and suggest effective trainers by calculating average record values, ratios, and correlations between player and trainer stats, providing personalized recommendations to enhance team performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of team performance data is used, then users can identify vulnerable positions, but the process is time-consuming and lacks precision
Solution Approach 1:
The patent replaces manual mechanical analysis with an automated computer-based system that processes game data, calculates statistics, and identifies vulnerable positions algorithmically, thereby eliminating time-consuming manual work while improving precision through systematic data processing
Solution Approach 2:
The system enables self-service by automatically generating performance analysis reports and trainer recommendations without requiring user intervention in the data processing stage, allowing users to simply review and act on the generated insights
2Reliability
If comprehensive data analysis is performed to identify vulnerable positions and recommend trainers, then team performance improvement is enhanced, but system complexity increases
Solution Approach 1:
The patent segments the complex analysis task into distinct modules: game data processing, statistic calculation, vulnerable position identification, and trainer recommendation, allowing each component to be developed and maintained independently while contributing to the overall reliable system
Solution Approach 2:
The system introduces an intermediary computer program that acts as a mediator between raw game data and user decision-making, processing and structuring information in a way that simplifies the user interface while maintaining comprehensive analysis capabilities in the background
3Productivity
If automated trainer recommendations are provided, then users can quickly find suitable trainers, but the recommendation accuracy may be compromised
Solution Approach 1:
The system incorporates feedback mechanisms by analyzing actual game outcomes and performance changes after trainer assignments, using this information to refine and improve future trainer recommendations, thereby maintaining both speed and accuracy over time
Solution Approach 2:
The patent dynamically adjusts recommendation parameters based on various factors such as player statistics, position requirements, and trainer capabilities, modifying the weighting and criteria of different parameters to optimize both the speed and accuracy of recommendations for different scenarios
Data Source
AI summary
Disclosed are a method and system for managing a team by automatically recommending a position and trainer for a player in a sports game. The method may include processing the progress of a sports game instance for a user team in which at least one player character assigned to a user participates in a sports game, generating a game record including record values according to the progress of a game for each position and for each record item in the sports game with respect to the sports game instance performed on the user team, extracting at least one of the record items of the sports game as a vulnerable element of the user team based on the game record, determining a vulnerable position based on the at least one record item extracted as the vulnerable element of the user team, and providing information on the vulnerable position.