Interactive Player Index Display for Real-Time Weighted Event Assessment
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Solution Overview
Problem
Existing player performance assessment technologies fail to provide real-time, accurate, and reliable indices that consider up-to-date events, leading to outdated or incorrect assessments and unreliable predictions.
Innovation Solution
A computer-implemented method generates an interactive display with a real-time player index based on weighted event actions, using machine learning to process and format data for immediate, transparent, and reproducible player performance evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If player performance assessment is conducted using traditional methods, then the assessment can be performed with existing data, but the assessment results are outdated and not real-time
Solution Approach 1:
The system continuously processes player event data in real-time as events occur during the sporting event, maintaining an up-to-date player index without interruption. This continuous processing ensures the assessment reflects current performance state rather than historical data, eliminating time delay while maintaining accuracy.
Solution Approach 2:
The system pre-establishes weighted categories and processing rules before the sporting event begins. These pre-configured frameworks enable immediate real-time processing of events as they occur, avoiding delays in assessment while ensuring accurate, standardized evaluation from the start.
2Reliability
If real-time player index is generated using multiple weighted event actions, then the accuracy and reliability of performance assessment is improved, but the computational complexity increases
Solution Approach 1:
The system divides player performance into discrete weighted categories (e.g., offensive events, defensive events, neutral events) with predefined weights. This segmentation allows complex performance assessment to be broken down into manageable, standardized processing steps, reducing computational complexity while maintaining comprehensive and accurate evaluation.
Solution Approach 2:
The system uses predefined weight parameters for different event categories that can be adjusted based on sporting context. By parameterizing the assessment framework with configurable weights rather than complex algorithms, the system achieves accurate real-time assessment with reduced computational complexity and improved flexibility.
3Measurement precision
If comprehensive event data is processed to generate detailed player index, then the measurement precision is improved, but the processing time increases
Solution Approach 1:
The system pre-establishes the complete framework of weighted categories and processing rules before the sporting event. This preliminary configuration eliminates the need for real-time analysis and decision-making during event processing, allowing comprehensive precise measurement to be achieved through straightforward application of pre-defined rules rather than complex real-time computation.
Solution Approach 2:
The system replaces complex real-time analytical computations with straightforward data lookup and weight application based on pre-established frameworks. This substitution of mechanical processing with rule-based evaluation maintains comprehensive measurement precision while dramatically reducing processing time through simplified computational operations.
Data Source
AI summary
According to systems and techniques disclosed herein, a plurality of real-time event data including a plurality of real-time event actions of a player may be received. One or more event actions associated with a unique identifier may be updated with the plurality of real-time event actions. A unique index may be generated based on a plurality of weights applied to the one or more event actions associated with the unique identifier. The unique index may be generated in real-time as the plurality of real-time event data is received. An interactive display may be generated including at least a graphical representation of the one or more event actions associated with the unique identifier, a graphical representation of the plurality of weights applied to the one or more event actions, and the unique index. The interactive display may be generated in real-time as the plurality of real-time event data is received.