Sports Analytics System with Automated Data Structuring

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Solution Overview

Problem

Current sports analytics tools are cumbersome, time-consuming, and often not sports-specific, leading to incomplete or erroneous data analysis, which hinders real-time decision-making and strategic planning in sporting events.

Innovation Solution

A sports management system that includes a user interface, processor, and management module for receiving, storing, and analyzing sports-related data, providing feedback and suggestions based on the analysis, allowing for quick and efficient sports-specific statistical analysis on computing devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional statistical analysis tools are used for sports data analysis, then analysis depth can be improved, but time consumption and operational complexity increase significantly

Engineering Contradiction:

Improveanalysis depthVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-processes and structures sports data in advance using standardized schemas, creating organized data repositories before analysis is needed. This preliminary organization enables rapid querying and analysis during actual sporting events without time-consuming data preparation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces manual data collection and analysis methods with automated electronic data capture systems. Sensors, trackers, and digital interfaces automatically collect and process sports data, eliminating the need for manual note-taking and manual statistical computation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual data entry methods are used for sports plays, then data flexibility can be maintained, but error rates and time consumption increase

Engineering Contradiction:

Improvedata flexibilityVSAvoiderror rates

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system enables automated self-service data capture where sensors, tracking devices, and digital interfaces automatically record and structure sports data without human intervention. This eliminates manual entry errors while maintaining data flexibility through configurable data schemas that adapt to different sports and play types

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces standardized data schemas and structured templates as intermediaries between raw data sources and analysis systems. These schemas act as mediators that automatically organize diverse sports data into consistent formats, reducing errors while preserving the ability to capture various play types and scenarios

Inventive Principle:

Principle #24Intermediary (Mediator)

3Loss of information

If comprehensive sports data is collected for thorough analysis, then analytical completeness improves, but data processing complexity and time requirements increase

Engineering Contradiction:

Improveanalytical completenessVSAvoiddata processing complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The system segments comprehensive sports data into organized categories and structured schemas (e.g., player statistics, play information, situational data). This segmentation maintains complete analytical information while reducing processing complexity through systematic organization and hierarchical data structures

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a universal data collection framework with standardized schemas that can handle multiple types of sports data (plays, players, situations, results) through a single integrated system. This multi-functional approach reduces overall system complexity compared to separate specialized systems for each data type

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Speed

If real-time sports data analysis is implemented, then decision-making speed improves, but computational requirements and system complexity increase

Engineering Contradiction:

Improvedecision-making speedVSAvoidsystem complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system performs preliminary data structuring, validation, and organization in advance using standardized schemas. This pre-processing reduces the computational burden during real-time analysis, enabling fast decision-making without requiring overly complex real-time processing systems

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces complex manual analysis processes with automated electronic data processing systems. This substitution enables real-time analysis capabilities while managing system complexity through algorithmic automation rather than human cognitive processes

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11786796B2System for planning, managing, and analyzing sports teams and events

Publication Date: 2023.10.17 ADRENALINE IP

AI summary

A system for planning, managing, and analyzing sports teams and events. The system may include a content management function for storing data. The data can pertain to a plurality of sports-related statistics and a variety of identifying data. The system and method can also include an event management function for planning and evaluating sports-related events such as practices and games. The system and method can also include a report function which can provide a variety of statistical analyses.